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Cohort Profile: The Heinz C. Prechter Longitudinal Study of Bipolar Disorder

Cohort Profile: The Heinz C. Prechter Longitudinal Study of Bipolar Disorder Why was the cohort set up? The Heinz C. Prechter Longitudinal Study of Bipolar Disorder (PrBP), launched in 2005, is an open cohort study at the University of Michigan, Ann Arbor, USA. The study is specifically designed to identify and characterize the mechanisms underlying bipolar disorder (BP) and to develop methods to predict clinical outcomes of the disorder. The aims of the study are listed in Box 1 Information about the Heinz C. Prechter Longitudinal Study of Bipolar Disorder Aims To identify and characterize the mechanisms underlying bipolar disorder and to develop methods to predict clinical outcomes of the disorder To compare the natural history of bipolar disorder over multiple phenotypic classes compared with healthy controls and other mood disorders To determine social, psychological, medical, biological, and genetic determinants of course of bipolar disorder To train and validate prediction models that can enhance clinical practice To provide an infrastructure for additional basic and translational research Inclusion criteria: Cases: diagnosis of treated BP Controls: no personal or family psychiatric history English speaking Age 18 or older Exclusion criteria: Mental retardation Active substance dependence Head injury Medical illness causing BP Data access: Data are available on request, from the Heinz C. Prechter Bipolar Research Program website [http://www.prechterfund.org/about/contact/] Dissemination of information and results: Research projects (opportunities for participation in new studies) are listed at [http://www.prechterfund.org/bipolar-research/projects/] Publications are listed (with links) and updated monthly at [http://www.prechterfund.org/bipolar-research/publications/]Box 1. Bipolar disorders are a chronic, heterogeneous and complex spectrum of conditions that typically are first identified in late adolescence and consist of pathological mood swings that include varying intensities of mania and depression.1 A comprehensive description of the phenotype should include characterization of the longitudinal course of the disease, such as onset, symptom severity patterns, cognitive functioning and comorbidities. Outcomes include impaired social, vocational and personal functioning that often results in disability. Suicide and suicidal behaviours are common in BP and 4% of individuals with BP attempt suicide annually;2 individuals with BP die by suicide at a 15-fold greater rate than that of the general population.3 There is no established aetiology of BP. Ongoing and future studies in this cohort target mechanisms related to aetiology of this illness. High heritability has been observed for the past century,4 and an overlapping risk is observed with other mood disorders.5,6 The search for BP susceptibility genes has identified approximately 12 genetic loci,7 each with an odds ratio (OR) for the risk allele in the range of 1.1–1.5, suggesting the contribution of many genes each with small effects. There is evidence at the epigenetic8 and interpersonal9 levels for the interactive influence of genes and environment in the manifestation of BP. The causal and modifying elements are numerous and therefore require a pluralistic approach to studying causality in BP (like many human diseases) (Figure 1). The origins of causal pluralism approaches in psychiatry began with Adolf Meyer10 who viewed each person as an individual experiment of nature. Acknowledging Meyer’s influence, the Perspectives of Psychiatry11 identifies four perspectives through which one may approach psychiatric disorders. The pluralistic approach provides the opportunity to integrate diverse information12 free from dichotomous constraints and also offers a pragmatic approach to causality13 and an open mind to discovery. Nevertheless, a framework is needed to organize classes of phenotypes within the broad domain of human disease in order to test effects of a proposed class on the clinical manifestation of the disease. Figure 1 Open in new tabDownload slide Seven Phenotypic classes of the Observed Phenotype. The manifestation of human disease is the result of multiple etiological elements from the individual, the environment and the interaction between the two. Causality is pluralistic with contributions from several phenotypic classes that vary over time. Seven phenotypic classes (Figure 1) are the focus of this study and include the four perspectives of McHugh and Slavney.11 The rationale for evaluation of a broad range of phenotypes is the need for a comprehensive assessment of the BP patient in the most efficient manner possible. All have been the focus of academic enquiry in BP and integrated into textbook discussions,1 but are rarely studied using the comprehensive approach of the current study. The ‘Disease’ class is considered to be the driving biological mechanism. ‘Motivated behaviours’ describes a class of phenotypes that drive what the individual does; behaviours behind substance use have the capacity to cause or modify phenotypic expression. ‘Dimensions of temperament or personality’ compose a class of characteristics that interact with and frequently dominate clinical manifestations and are vital to the study of aetiology and causality. The class of ‘Life experiences’ includes social and environmental influences spanning a range of human experiences which impact the individual with the capacity to significantly modulate disease manifestation. The class of ‘Neurocognitive functions’ measures memory, executive functioning and other cognitive features to relate functioning to disease expression. ‘Circadian and sleep’ patterns are a phenotypic class that influences the nature and course of the illness. Finally, the ‘Clinical outcome’ patterns vary among people with BP and define classes of patients according to treatment response or functional capacity. This phenotypic class-based approach predated the Research Domain Criteria (RDoC) project of the National Institutes of Mental Health (NIMH),14 a project that advocates a quantitative approach to clinical and biological phenomena rather than diagnostic categories. Both use dimensional measures of phenomenology, biology and outcomes. The phenotypic class-based approach described herein has the advantage that most measures were selected to have direct clinical utility, and use practical dimensional data easily integrated with research. Who is in the cohort? The PrBP consists of an open cohort of individuals ascertained non-systematically to have BP, and healthy controls who agree to be followed longitudinally. Our goal is to study participants over their lifetime; at this time, the institutional review board (IRB) allows only 10-year renewal time periods. The participants are generally from south-east Michigan. The primary clinical source of participants was from admissions to the University of Michigan (UM) Health System psychiatric outpatient and inpatient clinical services. Inclusion criteria for BP I are based on DSM IV15 criteria and on initial screening by telephone. Participants are required to have a history of treatment for a manic episode, whereas BP II individuals are required to have recurrent depression in addition to hypomania. All diagnoses are confirmed by a best-estimate diagnostic process with a review of all available research as well as clinical and medical data. The BP diagnostic group was allowed to have additional psychiatric comorbidities. All affective diagnoses are included and entered into the study as the participant qualified in pre-screening; this includes BP Not Otherwise Specified (NOS), Schizoaffective BP type, Major Depressive Disorder (MDD) and recurrent and other affective disorders (e.g. BP II single episode, MDD single episode, Schizoaffective Depressive type, Depression NOS and Dysthymia). Only one affective diagnosis is assigned to each participant. Non-affective disorders (e.g. substance use disorders, anxiety disorders, eating disorders and attention-deficit/hyperactivity disorder) were assigned when diagnosed, and were comorbid with the affective diagnosis. Controls were required to have no personal history of any psychiatric condition as well as a negative family history for psychiatric disorder. Control individuals who developed a psychiatric condition subsequent to ascertainment were continued in the study, caveated with their diagnostic category (e.g. major depression). It is recognized that the PrBP cohort is biased towards classic bipolar individuals from the community who are willing to commit to long-term follow-up. The inclusion and exclusion criteria are outlined in Box 1. The sample currently includes 1111 participants: 731 individuals with any type of BP diagnosis, 23 with MDD, 34 with other mood disorders, 46 with non-mood/non-affective psychiatric illness and 277 healthy controls. Of those 731 with BP, 498 have BP I, 136 have BP II, 73 have BP NOS and 24 were diagnosed with schizoaffective disorder, bipolar type. The retention rate is 75% since the inception of the study. There are two main reasons behind not limiting the sample to the individuals with BP and controls. First, individuals in the cohort may move in and out of a diagnosis over the 10-year follow-up period (e.g. controls developing a psychiatric condition subsequent to ascertainment). If an individual’s diagnosis changes, we do not exclude—instead, we follow the individual with their new diagnosis (e.g. depression). Second, the National Institute of Mental Health’s RDoC discourages conducting studies within narrowly defined and categorically-based DSM/ICD diagnoses. Instead, RDoC encourages modelling of trajectories that cut across categorical diagnoses and in a wide range of study domains. In this manner, this study’s methods may prove exemplary as the psychiatric research community integrates the DSM/ICD to a RDoC dimensional-oriented approach.16 Every effort is made to followup these individuals, and every 2 years the National Death Index (NDI)17 is searched for information on individuals who have not been in contact nor responded to enquiries for 2 years. The demographic, socioeconomic and clinical characteristics of the sample are included in Table 1. Most participants were White (79%) and female (66%), with a mean age of 38.6 years at study entry. Average age of onset of illness (age of first depression or first mania) among individuals with BP was 17.3, with an average number of 7.2 mania episodes. Participants with BP had a high frequency of comorbid psychiatric conditions. Table 2 presents descriptive measures of depression, mania and health-related quality of life (HRQoL) at baseline (study entry). Symptoms of depression and mania were higher and HRQoL scores were worse for individuals with BP compared with controls (Table 2). Table 1 Descriptive statistics of the Prechter cohort at entry into the study . Total cohort . Any mood disorder . All bipolar (BP) . BP I disorder . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non- affective only . Controls (no diagnosis) . n . 1111 . 788 . 731 . 498 . 136 . 73 . 24 . 23 . 34 . 46 . 277 . Demographics  Age at enrolment, mean (STD) 38.64 (14.25) 39.83 (13.60) 39.63 (13.49) 40.03 (13.30) 41.28 (14.59) 37.90 (13.73) 38.08 (12.68) 43.17 (12.72) 40.71 (15.43) 41.24 (14.29) 35.46 (15.45)  Women 729 536 481 316 100 51 14 12 24 19 174 (66%) (68%) (66%) (63%) (74%) (69%) (58%) (52%) (65%) (41%) (62%) Socioeconomics  Education, Mean (STD) 15.53 (2.47) 15.41 (2.51) 15.49 (2.52) 15.37 (2.70) 15.81 (2.19) 14.89 (2.58) 14.58 14.48 (2.69) 14.73 (2.50) 15.39 (2.28) 15.91(2.43) (2.41)  Unemployed 193 146 131 84 21 21 5 7 8 12 35 (17%) (19%) (18%) (17%) (15%) (28%) (21%) (33%) (22%) 5(26%) (13%) Marital statusa  Married 356 261 246 177 52 12 5 6 9 13 82 (32%) (33%) (34%) (36%) (38%) (16%) (21%) (26%) (26%) (28%) (30%)  Separated 30 25 23 15 5 3 0 2 0 1 4 (3%) (3%) (3%) (3%) (4%) (4%) (0%) (9%) (0%) (2%) (1%)  Divorced 185 152 136 89 25 17 5 4 12 8 25 (17%) (19%) (19%) (18%) (18%) (23%) (21%) (17%) (35%) (17%) (9%)  Widowed 16 10 10 5 3 2 0 0 0 0 6 (1%) (1%) (1%) (1%) (2%) (3%) (0%) (0%) (0%) (0%) (2%)  Never married 523 339 315 211 51 39 14 11 13 24 160 (47%) (43%) (43%) (42%) (38%) (53%) (58%) (48%) (38%) (52%) (58%) Raceb  White 894 662 620 424 117 61 18 17 25 31 201 (80%) (84%) (85%) (85%) (86%) (84%) (75%) (74%) (74%) (67%) (73%)  Black or African- American 103 64 53 35 8 6 4 3 8 3 36 (9%) (8%) (7%) (7%) (6%) (8%) (17%) (13%) (24%) (7%) (13%)  Asian 39 9 8 6 1 1 0 0 1 6 24 (4%) (1%) (1%) (1%) (1%) (1%) (0%) (0%) (3%) (13%) (9%)  Native Hawaiian or other Pacific Islander 1 0 0 0 0 0 0 0 0 0 1 (0.1%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0.4%)  American Indian/Alaskan native 4 1 1 1 0 0 0 0 0 1 2 (0.4%) (0.1%) (0.1%) (0.2%) (0%) (0%) (0%) (0%) (0%) (2%) (1%)  More than one race 47 33 30 19 5 5 1 3 0 4 10 (4%) (4%) (4%) (4%) (4%) (7%) (4%) (13%) (0%) (9%) (4%)  Unknown 12 10 10 6 4 0 0 0 0 1 1 (1%) (1%) (1%) (1%) (3%) (0%) (0%) (0%) (0%) (2%) (0.4%) Baseline clinical factorsc  Age at onset, mean (STD) 11.88 (10.62) 16.04 (9.24) 17.27 (7.87) 17.51 (8.12) 15.90 (6.66) 16.61 (6.34) 19.13 (9.29) 21.00 (10.29) 5.94 (14.05) 3.69 (10.38) 0(0)  Number of mania episodes, mean (STD) 4.52 (15.71) 6.37 (18.34) 7.20 (19.33) 9.50 (19.38) 0 1.26 (7.48) 15.38 (49.33) 0 1.79 (10.46) 0 0 (0) (0) (0) (0)  Number of depression episodes, mean (STD) 14.72 (35.93) 21.34 (41.60) 23.89 (43.27) 22.96 (43.75) 31.16 (46.20) 16.85 (26.41) 12.90 (22.90) 20.22 (53.08) 3.93 (11.60) 0.11 0 (0.53) (0)  Number of hypomania episodes, mean (STD) 15.83 (47.24) 23.61 (56.08) 27.04 (59.28) 25.26 (59.45) 32.29 (58.80) 21.93 (48.03) 49.84 (82.34) 0 0.52 (2.69) 0 0 (0) (0) (0)  Heart disease 24 22 20 13 5 1 1 1 1 0 2 (2%) (3%) (3%) (3%) (4%) (1%) (4%) (4%) (4%) (0%) (1%)  Migraine 293 261 253 161 60 24 8 2 6 2 30 (26%) (33%) (35%) (32%) (44%) (33%) (33%) (9%) (25%) (4%) (11%) . Total cohort . Any mood disorder . All bipolar (BP) . BP I disorder . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non- affective only . Controls (no diagnosis) . n . 1111 . 788 . 731 . 498 . 136 . 73 . 24 . 23 . 34 . 46 . 277 . Demographics  Age at enrolment, mean (STD) 38.64 (14.25) 39.83 (13.60) 39.63 (13.49) 40.03 (13.30) 41.28 (14.59) 37.90 (13.73) 38.08 (12.68) 43.17 (12.72) 40.71 (15.43) 41.24 (14.29) 35.46 (15.45)  Women 729 536 481 316 100 51 14 12 24 19 174 (66%) (68%) (66%) (63%) (74%) (69%) (58%) (52%) (65%) (41%) (62%) Socioeconomics  Education, Mean (STD) 15.53 (2.47) 15.41 (2.51) 15.49 (2.52) 15.37 (2.70) 15.81 (2.19) 14.89 (2.58) 14.58 14.48 (2.69) 14.73 (2.50) 15.39 (2.28) 15.91(2.43) (2.41)  Unemployed 193 146 131 84 21 21 5 7 8 12 35 (17%) (19%) (18%) (17%) (15%) (28%) (21%) (33%) (22%) 5(26%) (13%) Marital statusa  Married 356 261 246 177 52 12 5 6 9 13 82 (32%) (33%) (34%) (36%) (38%) (16%) (21%) (26%) (26%) (28%) (30%)  Separated 30 25 23 15 5 3 0 2 0 1 4 (3%) (3%) (3%) (3%) (4%) (4%) (0%) (9%) (0%) (2%) (1%)  Divorced 185 152 136 89 25 17 5 4 12 8 25 (17%) (19%) (19%) (18%) (18%) (23%) (21%) (17%) (35%) (17%) (9%)  Widowed 16 10 10 5 3 2 0 0 0 0 6 (1%) (1%) (1%) (1%) (2%) (3%) (0%) (0%) (0%) (0%) (2%)  Never married 523 339 315 211 51 39 14 11 13 24 160 (47%) (43%) (43%) (42%) (38%) (53%) (58%) (48%) (38%) (52%) (58%) Raceb  White 894 662 620 424 117 61 18 17 25 31 201 (80%) (84%) (85%) (85%) (86%) (84%) (75%) (74%) (74%) (67%) (73%)  Black or African- American 103 64 53 35 8 6 4 3 8 3 36 (9%) (8%) (7%) (7%) (6%) (8%) (17%) (13%) (24%) (7%) (13%)  Asian 39 9 8 6 1 1 0 0 1 6 24 (4%) (1%) (1%) (1%) (1%) (1%) (0%) (0%) (3%) (13%) (9%)  Native Hawaiian or other Pacific Islander 1 0 0 0 0 0 0 0 0 0 1 (0.1%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0.4%)  American Indian/Alaskan native 4 1 1 1 0 0 0 0 0 1 2 (0.4%) (0.1%) (0.1%) (0.2%) (0%) (0%) (0%) (0%) (0%) (2%) (1%)  More than one race 47 33 30 19 5 5 1 3 0 4 10 (4%) (4%) (4%) (4%) (4%) (7%) (4%) (13%) (0%) (9%) (4%)  Unknown 12 10 10 6 4 0 0 0 0 1 1 (1%) (1%) (1%) (1%) (3%) (0%) (0%) (0%) (0%) (2%) (0.4%) Baseline clinical factorsc  Age at onset, mean (STD) 11.88 (10.62) 16.04 (9.24) 17.27 (7.87) 17.51 (8.12) 15.90 (6.66) 16.61 (6.34) 19.13 (9.29) 21.00 (10.29) 5.94 (14.05) 3.69 (10.38) 0(0)  Number of mania episodes, mean (STD) 4.52 (15.71) 6.37 (18.34) 7.20 (19.33) 9.50 (19.38) 0 1.26 (7.48) 15.38 (49.33) 0 1.79 (10.46) 0 0 (0) (0) (0) (0)  Number of depression episodes, mean (STD) 14.72 (35.93) 21.34 (41.60) 23.89 (43.27) 22.96 (43.75) 31.16 (46.20) 16.85 (26.41) 12.90 (22.90) 20.22 (53.08) 3.93 (11.60) 0.11 0 (0.53) (0)  Number of hypomania episodes, mean (STD) 15.83 (47.24) 23.61 (56.08) 27.04 (59.28) 25.26 (59.45) 32.29 (58.80) 21.93 (48.03) 49.84 (82.34) 0 0.52 (2.69) 0 0 (0) (0) (0)  Heart disease 24 22 20 13 5 1 1 1 1 0 2 (2%) (3%) (3%) (3%) (4%) (1%) (4%) (4%) (4%) (0%) (1%)  Migraine 293 261 253 161 60 24 8 2 6 2 30 (26%) (33%) (35%) (32%) (44%) (33%) (33%) (9%) (25%) (4%) (11%) Bipolar (BP) participants were diagnosed according to the DSM IV criteria. BP NOS, BP not otherwise specified; SAD-BP, schizoaffective bipolar type; MDD, major depressive disorder. aOne missing data point among BP1. bMissing data for seven BP1, one BP II, one SAD-BP and two controls. cAssessment for post-traumatic stress disorder began in 2010 after half of the sample was ascertained. Open in new tab Table 1 Descriptive statistics of the Prechter cohort at entry into the study . Total cohort . Any mood disorder . All bipolar (BP) . BP I disorder . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non- affective only . Controls (no diagnosis) . n . 1111 . 788 . 731 . 498 . 136 . 73 . 24 . 23 . 34 . 46 . 277 . Demographics  Age at enrolment, mean (STD) 38.64 (14.25) 39.83 (13.60) 39.63 (13.49) 40.03 (13.30) 41.28 (14.59) 37.90 (13.73) 38.08 (12.68) 43.17 (12.72) 40.71 (15.43) 41.24 (14.29) 35.46 (15.45)  Women 729 536 481 316 100 51 14 12 24 19 174 (66%) (68%) (66%) (63%) (74%) (69%) (58%) (52%) (65%) (41%) (62%) Socioeconomics  Education, Mean (STD) 15.53 (2.47) 15.41 (2.51) 15.49 (2.52) 15.37 (2.70) 15.81 (2.19) 14.89 (2.58) 14.58 14.48 (2.69) 14.73 (2.50) 15.39 (2.28) 15.91(2.43) (2.41)  Unemployed 193 146 131 84 21 21 5 7 8 12 35 (17%) (19%) (18%) (17%) (15%) (28%) (21%) (33%) (22%) 5(26%) (13%) Marital statusa  Married 356 261 246 177 52 12 5 6 9 13 82 (32%) (33%) (34%) (36%) (38%) (16%) (21%) (26%) (26%) (28%) (30%)  Separated 30 25 23 15 5 3 0 2 0 1 4 (3%) (3%) (3%) (3%) (4%) (4%) (0%) (9%) (0%) (2%) (1%)  Divorced 185 152 136 89 25 17 5 4 12 8 25 (17%) (19%) (19%) (18%) (18%) (23%) (21%) (17%) (35%) (17%) (9%)  Widowed 16 10 10 5 3 2 0 0 0 0 6 (1%) (1%) (1%) (1%) (2%) (3%) (0%) (0%) (0%) (0%) (2%)  Never married 523 339 315 211 51 39 14 11 13 24 160 (47%) (43%) (43%) (42%) (38%) (53%) (58%) (48%) (38%) (52%) (58%) Raceb  White 894 662 620 424 117 61 18 17 25 31 201 (80%) (84%) (85%) (85%) (86%) (84%) (75%) (74%) (74%) (67%) (73%)  Black or African- American 103 64 53 35 8 6 4 3 8 3 36 (9%) (8%) (7%) (7%) (6%) (8%) (17%) (13%) (24%) (7%) (13%)  Asian 39 9 8 6 1 1 0 0 1 6 24 (4%) (1%) (1%) (1%) (1%) (1%) (0%) (0%) (3%) (13%) (9%)  Native Hawaiian or other Pacific Islander 1 0 0 0 0 0 0 0 0 0 1 (0.1%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0.4%)  American Indian/Alaskan native 4 1 1 1 0 0 0 0 0 1 2 (0.4%) (0.1%) (0.1%) (0.2%) (0%) (0%) (0%) (0%) (0%) (2%) (1%)  More than one race 47 33 30 19 5 5 1 3 0 4 10 (4%) (4%) (4%) (4%) (4%) (7%) (4%) (13%) (0%) (9%) (4%)  Unknown 12 10 10 6 4 0 0 0 0 1 1 (1%) (1%) (1%) (1%) (3%) (0%) (0%) (0%) (0%) (2%) (0.4%) Baseline clinical factorsc  Age at onset, mean (STD) 11.88 (10.62) 16.04 (9.24) 17.27 (7.87) 17.51 (8.12) 15.90 (6.66) 16.61 (6.34) 19.13 (9.29) 21.00 (10.29) 5.94 (14.05) 3.69 (10.38) 0(0)  Number of mania episodes, mean (STD) 4.52 (15.71) 6.37 (18.34) 7.20 (19.33) 9.50 (19.38) 0 1.26 (7.48) 15.38 (49.33) 0 1.79 (10.46) 0 0 (0) (0) (0) (0)  Number of depression episodes, mean (STD) 14.72 (35.93) 21.34 (41.60) 23.89 (43.27) 22.96 (43.75) 31.16 (46.20) 16.85 (26.41) 12.90 (22.90) 20.22 (53.08) 3.93 (11.60) 0.11 0 (0.53) (0)  Number of hypomania episodes, mean (STD) 15.83 (47.24) 23.61 (56.08) 27.04 (59.28) 25.26 (59.45) 32.29 (58.80) 21.93 (48.03) 49.84 (82.34) 0 0.52 (2.69) 0 0 (0) (0) (0)  Heart disease 24 22 20 13 5 1 1 1 1 0 2 (2%) (3%) (3%) (3%) (4%) (1%) (4%) (4%) (4%) (0%) (1%)  Migraine 293 261 253 161 60 24 8 2 6 2 30 (26%) (33%) (35%) (32%) (44%) (33%) (33%) (9%) (25%) (4%) (11%) . Total cohort . Any mood disorder . All bipolar (BP) . BP I disorder . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non- affective only . Controls (no diagnosis) . n . 1111 . 788 . 731 . 498 . 136 . 73 . 24 . 23 . 34 . 46 . 277 . Demographics  Age at enrolment, mean (STD) 38.64 (14.25) 39.83 (13.60) 39.63 (13.49) 40.03 (13.30) 41.28 (14.59) 37.90 (13.73) 38.08 (12.68) 43.17 (12.72) 40.71 (15.43) 41.24 (14.29) 35.46 (15.45)  Women 729 536 481 316 100 51 14 12 24 19 174 (66%) (68%) (66%) (63%) (74%) (69%) (58%) (52%) (65%) (41%) (62%) Socioeconomics  Education, Mean (STD) 15.53 (2.47) 15.41 (2.51) 15.49 (2.52) 15.37 (2.70) 15.81 (2.19) 14.89 (2.58) 14.58 14.48 (2.69) 14.73 (2.50) 15.39 (2.28) 15.91(2.43) (2.41)  Unemployed 193 146 131 84 21 21 5 7 8 12 35 (17%) (19%) (18%) (17%) (15%) (28%) (21%) (33%) (22%) 5(26%) (13%) Marital statusa  Married 356 261 246 177 52 12 5 6 9 13 82 (32%) (33%) (34%) (36%) (38%) (16%) (21%) (26%) (26%) (28%) (30%)  Separated 30 25 23 15 5 3 0 2 0 1 4 (3%) (3%) (3%) (3%) (4%) (4%) (0%) (9%) (0%) (2%) (1%)  Divorced 185 152 136 89 25 17 5 4 12 8 25 (17%) (19%) (19%) (18%) (18%) (23%) (21%) (17%) (35%) (17%) (9%)  Widowed 16 10 10 5 3 2 0 0 0 0 6 (1%) (1%) (1%) (1%) (2%) (3%) (0%) (0%) (0%) (0%) (2%)  Never married 523 339 315 211 51 39 14 11 13 24 160 (47%) (43%) (43%) (42%) (38%) (53%) (58%) (48%) (38%) (52%) (58%) Raceb  White 894 662 620 424 117 61 18 17 25 31 201 (80%) (84%) (85%) (85%) (86%) (84%) (75%) (74%) (74%) (67%) (73%)  Black or African- American 103 64 53 35 8 6 4 3 8 3 36 (9%) (8%) (7%) (7%) (6%) (8%) (17%) (13%) (24%) (7%) (13%)  Asian 39 9 8 6 1 1 0 0 1 6 24 (4%) (1%) (1%) (1%) (1%) (1%) (0%) (0%) (3%) (13%) (9%)  Native Hawaiian or other Pacific Islander 1 0 0 0 0 0 0 0 0 0 1 (0.1%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0.4%)  American Indian/Alaskan native 4 1 1 1 0 0 0 0 0 1 2 (0.4%) (0.1%) (0.1%) (0.2%) (0%) (0%) (0%) (0%) (0%) (2%) (1%)  More than one race 47 33 30 19 5 5 1 3 0 4 10 (4%) (4%) (4%) (4%) (4%) (7%) (4%) (13%) (0%) (9%) (4%)  Unknown 12 10 10 6 4 0 0 0 0 1 1 (1%) (1%) (1%) (1%) (3%) (0%) (0%) (0%) (0%) (2%) (0.4%) Baseline clinical factorsc  Age at onset, mean (STD) 11.88 (10.62) 16.04 (9.24) 17.27 (7.87) 17.51 (8.12) 15.90 (6.66) 16.61 (6.34) 19.13 (9.29) 21.00 (10.29) 5.94 (14.05) 3.69 (10.38) 0(0)  Number of mania episodes, mean (STD) 4.52 (15.71) 6.37 (18.34) 7.20 (19.33) 9.50 (19.38) 0 1.26 (7.48) 15.38 (49.33) 0 1.79 (10.46) 0 0 (0) (0) (0) (0)  Number of depression episodes, mean (STD) 14.72 (35.93) 21.34 (41.60) 23.89 (43.27) 22.96 (43.75) 31.16 (46.20) 16.85 (26.41) 12.90 (22.90) 20.22 (53.08) 3.93 (11.60) 0.11 0 (0.53) (0)  Number of hypomania episodes, mean (STD) 15.83 (47.24) 23.61 (56.08) 27.04 (59.28) 25.26 (59.45) 32.29 (58.80) 21.93 (48.03) 49.84 (82.34) 0 0.52 (2.69) 0 0 (0) (0) (0)  Heart disease 24 22 20 13 5 1 1 1 1 0 2 (2%) (3%) (3%) (3%) (4%) (1%) (4%) (4%) (4%) (0%) (1%)  Migraine 293 261 253 161 60 24 8 2 6 2 30 (26%) (33%) (35%) (32%) (44%) (33%) (33%) (9%) (25%) (4%) (11%) Bipolar (BP) participants were diagnosed according to the DSM IV criteria. BP NOS, BP not otherwise specified; SAD-BP, schizoaffective bipolar type; MDD, major depressive disorder. aOne missing data point among BP1. bMissing data for seven BP1, one BP II, one SAD-BP and two controls. cAssessment for post-traumatic stress disorder began in 2010 after half of the sample was ascertained. Open in new tab Table 2 Baseline symptoms and survey results based on condition; all values are mean (standard deviation) . All . All mood . BP . BP1 . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non-affective only . Controls . Mood symptoms  Depression (PHQ 9) 9.02 6.86 9.65 8.93 10.96 11.66 11.33 9.00 4.69 2.11 1.39 (6.86) (6.83) (6.73) (6.72) (6.30) (6.52) (7.87) (8.12) (5.74) (2.82) (2.22)  Depression (HAM-D) 10.37 13.48 14.49 13.73 16.52 15.20 16.25 13.06 5.30 2.85 1.19 (11.38) (11.56) (11.57) (11.53) (11.40) (11.68) (12.15) (11.53) (6.23) (4.55) (2.15)  Mania (ASRM) 4.03 3.69 4.11 3.87 4.49 4.96 4.47 3.41 4.42 2.97 2.89 (3.68) (3.71) (3.69) (3.63) (3.53) (4.04) (4.40) (3.48) (4.12) (3.84) (3.48)  Mania (YMRS) 2.53 3.30 3.58 3.31 3.84 3.99 6.72 1.94 0.71 1.00 0.16 (4.35) (4.75) (4.86) (4.81) (4.66) (4.80) (6.25) (3.17) (1.52) (3.56) (0.81) Function and quality of life  HRQoL(SF-36; PCS) 49.88 (9.36) 48.27 48.22 48.35 (10.22) 47.83 (10.54) 48.03 (10.82) 48.49 (11.63) 45.25 (12.55) 51.00 (7.77) 50.38 (9.24) 53.59 (4.94) (10.31) (10.35)  HRQoL(SF-36; MCS) 41.63 (8.85) 38.59 38.21 38.98 (8.95) 37.65 (8.32) 35.28 (8.64) 32.76 (7.14) 39.5 (11.73) 46.28 (5.28) 47.72 (4.62) 47.77 (4.36) (8.94) (8.84)  Function(LFQ) 213 21.90 22.27 21.37 22.78 24.24 28.00 21.17 20.33 17.24 15.31 (7.99) (8.31) (8.39) (8.52) (7.58) (7.83) (9.92) (8.03) (9.71) (5.06) (4.28)  Medical conditions (count) 2.95 3.52 3.58 3.53 3.73 3.41 4.33 2.96 2.53 1.78 1.52 (2.44) (2.49) (2.49) (2.51) (2.35) (2.26) (3.28) (2.36) (2.42) (1.92) (1.58) Personality  Neuroticism 56.96 62.83 63.54 62.27 66.14 70.63 65.33 61.81 49.57 47.90 43.52 (15.63) (14.08) (13.86) (13.85) (14.13) (13.92) (12.08) (11.65) (13.42) (10.98) (10.03)  Extraversion 49.26 48.27 48.06 48.90 44.89 43.63 49.58 49.56 51.71 51.05 51.50 (11.59) (12.33) (12.36) (12.44) (12.29) (15.31) (9.78) (15.14) (9.43) (12.25) (8.91)  Openness 56.92 57.99 58.22 58.69 57.43 60.69 55.78 53.25 56.07 53.44 54.80 (11.91) (12.29) (12.40) (12.56) (12.27) (10.68) (11.91) (10.01) (10.69) (8.36) (11.05)  Agreeableness 49.66 49.29 49.16 50 47.31 53.19 45.78 49.5 51.57 47 51.06 (12.26) (12.82) (12.94) (12.49) (14.01) (13.19) (13.09) (11.82) (11.02) (10.72) (10.87)  Conscientiousness 46.04 44.17 43.75 43.13 47.09 43.88 41.69 47.44 50.54 49.31 50.24 (13.16) (13.75) (13.60) (13.62) (13.83) (13.53) (12.29) (12.66) (15.73) (11.33) (10.64) . All . All mood . BP . BP1 . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non-affective only . Controls . Mood symptoms  Depression (PHQ 9) 9.02 6.86 9.65 8.93 10.96 11.66 11.33 9.00 4.69 2.11 1.39 (6.86) (6.83) (6.73) (6.72) (6.30) (6.52) (7.87) (8.12) (5.74) (2.82) (2.22)  Depression (HAM-D) 10.37 13.48 14.49 13.73 16.52 15.20 16.25 13.06 5.30 2.85 1.19 (11.38) (11.56) (11.57) (11.53) (11.40) (11.68) (12.15) (11.53) (6.23) (4.55) (2.15)  Mania (ASRM) 4.03 3.69 4.11 3.87 4.49 4.96 4.47 3.41 4.42 2.97 2.89 (3.68) (3.71) (3.69) (3.63) (3.53) (4.04) (4.40) (3.48) (4.12) (3.84) (3.48)  Mania (YMRS) 2.53 3.30 3.58 3.31 3.84 3.99 6.72 1.94 0.71 1.00 0.16 (4.35) (4.75) (4.86) (4.81) (4.66) (4.80) (6.25) (3.17) (1.52) (3.56) (0.81) Function and quality of life  HRQoL(SF-36; PCS) 49.88 (9.36) 48.27 48.22 48.35 (10.22) 47.83 (10.54) 48.03 (10.82) 48.49 (11.63) 45.25 (12.55) 51.00 (7.77) 50.38 (9.24) 53.59 (4.94) (10.31) (10.35)  HRQoL(SF-36; MCS) 41.63 (8.85) 38.59 38.21 38.98 (8.95) 37.65 (8.32) 35.28 (8.64) 32.76 (7.14) 39.5 (11.73) 46.28 (5.28) 47.72 (4.62) 47.77 (4.36) (8.94) (8.84)  Function(LFQ) 213 21.90 22.27 21.37 22.78 24.24 28.00 21.17 20.33 17.24 15.31 (7.99) (8.31) (8.39) (8.52) (7.58) (7.83) (9.92) (8.03) (9.71) (5.06) (4.28)  Medical conditions (count) 2.95 3.52 3.58 3.53 3.73 3.41 4.33 2.96 2.53 1.78 1.52 (2.44) (2.49) (2.49) (2.51) (2.35) (2.26) (3.28) (2.36) (2.42) (1.92) (1.58) Personality  Neuroticism 56.96 62.83 63.54 62.27 66.14 70.63 65.33 61.81 49.57 47.90 43.52 (15.63) (14.08) (13.86) (13.85) (14.13) (13.92) (12.08) (11.65) (13.42) (10.98) (10.03)  Extraversion 49.26 48.27 48.06 48.90 44.89 43.63 49.58 49.56 51.71 51.05 51.50 (11.59) (12.33) (12.36) (12.44) (12.29) (15.31) (9.78) (15.14) (9.43) (12.25) (8.91)  Openness 56.92 57.99 58.22 58.69 57.43 60.69 55.78 53.25 56.07 53.44 54.80 (11.91) (12.29) (12.40) (12.56) (12.27) (10.68) (11.91) (10.01) (10.69) (8.36) (11.05)  Agreeableness 49.66 49.29 49.16 50 47.31 53.19 45.78 49.5 51.57 47 51.06 (12.26) (12.82) (12.94) (12.49) (14.01) (13.19) (13.09) (11.82) (11.02) (10.72) (10.87)  Conscientiousness 46.04 44.17 43.75 43.13 47.09 43.88 41.69 47.44 50.54 49.31 50.24 (13.16) (13.75) (13.60) (13.62) (13.83) (13.53) (12.29) (12.66) (15.73) (11.33) (10.64) PHQ-9, Patient Health Questionnaire-9 item; ASRM, Altman Self-Rating Mania Scale: HRQoL, Health Related Quality of Life; LFQ, Life Functioning Questionnaire; YMRS, Young Mania Rating Scale; HAM-D, Hamilton Depression Rating Scale: SF-36, Short Form Survey- 36-Item. Open in new tab Table 2 Baseline symptoms and survey results based on condition; all values are mean (standard deviation) . All . All mood . BP . BP1 . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non-affective only . Controls . Mood symptoms  Depression (PHQ 9) 9.02 6.86 9.65 8.93 10.96 11.66 11.33 9.00 4.69 2.11 1.39 (6.86) (6.83) (6.73) (6.72) (6.30) (6.52) (7.87) (8.12) (5.74) (2.82) (2.22)  Depression (HAM-D) 10.37 13.48 14.49 13.73 16.52 15.20 16.25 13.06 5.30 2.85 1.19 (11.38) (11.56) (11.57) (11.53) (11.40) (11.68) (12.15) (11.53) (6.23) (4.55) (2.15)  Mania (ASRM) 4.03 3.69 4.11 3.87 4.49 4.96 4.47 3.41 4.42 2.97 2.89 (3.68) (3.71) (3.69) (3.63) (3.53) (4.04) (4.40) (3.48) (4.12) (3.84) (3.48)  Mania (YMRS) 2.53 3.30 3.58 3.31 3.84 3.99 6.72 1.94 0.71 1.00 0.16 (4.35) (4.75) (4.86) (4.81) (4.66) (4.80) (6.25) (3.17) (1.52) (3.56) (0.81) Function and quality of life  HRQoL(SF-36; PCS) 49.88 (9.36) 48.27 48.22 48.35 (10.22) 47.83 (10.54) 48.03 (10.82) 48.49 (11.63) 45.25 (12.55) 51.00 (7.77) 50.38 (9.24) 53.59 (4.94) (10.31) (10.35)  HRQoL(SF-36; MCS) 41.63 (8.85) 38.59 38.21 38.98 (8.95) 37.65 (8.32) 35.28 (8.64) 32.76 (7.14) 39.5 (11.73) 46.28 (5.28) 47.72 (4.62) 47.77 (4.36) (8.94) (8.84)  Function(LFQ) 213 21.90 22.27 21.37 22.78 24.24 28.00 21.17 20.33 17.24 15.31 (7.99) (8.31) (8.39) (8.52) (7.58) (7.83) (9.92) (8.03) (9.71) (5.06) (4.28)  Medical conditions (count) 2.95 3.52 3.58 3.53 3.73 3.41 4.33 2.96 2.53 1.78 1.52 (2.44) (2.49) (2.49) (2.51) (2.35) (2.26) (3.28) (2.36) (2.42) (1.92) (1.58) Personality  Neuroticism 56.96 62.83 63.54 62.27 66.14 70.63 65.33 61.81 49.57 47.90 43.52 (15.63) (14.08) (13.86) (13.85) (14.13) (13.92) (12.08) (11.65) (13.42) (10.98) (10.03)  Extraversion 49.26 48.27 48.06 48.90 44.89 43.63 49.58 49.56 51.71 51.05 51.50 (11.59) (12.33) (12.36) (12.44) (12.29) (15.31) (9.78) (15.14) (9.43) (12.25) (8.91)  Openness 56.92 57.99 58.22 58.69 57.43 60.69 55.78 53.25 56.07 53.44 54.80 (11.91) (12.29) (12.40) (12.56) (12.27) (10.68) (11.91) (10.01) (10.69) (8.36) (11.05)  Agreeableness 49.66 49.29 49.16 50 47.31 53.19 45.78 49.5 51.57 47 51.06 (12.26) (12.82) (12.94) (12.49) (14.01) (13.19) (13.09) (11.82) (11.02) (10.72) (10.87)  Conscientiousness 46.04 44.17 43.75 43.13 47.09 43.88 41.69 47.44 50.54 49.31 50.24 (13.16) (13.75) (13.60) (13.62) (13.83) (13.53) (12.29) (12.66) (15.73) (11.33) (10.64) . All . All mood . BP . BP1 . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non-affective only . Controls . Mood symptoms  Depression (PHQ 9) 9.02 6.86 9.65 8.93 10.96 11.66 11.33 9.00 4.69 2.11 1.39 (6.86) (6.83) (6.73) (6.72) (6.30) (6.52) (7.87) (8.12) (5.74) (2.82) (2.22)  Depression (HAM-D) 10.37 13.48 14.49 13.73 16.52 15.20 16.25 13.06 5.30 2.85 1.19 (11.38) (11.56) (11.57) (11.53) (11.40) (11.68) (12.15) (11.53) (6.23) (4.55) (2.15)  Mania (ASRM) 4.03 3.69 4.11 3.87 4.49 4.96 4.47 3.41 4.42 2.97 2.89 (3.68) (3.71) (3.69) (3.63) (3.53) (4.04) (4.40) (3.48) (4.12) (3.84) (3.48)  Mania (YMRS) 2.53 3.30 3.58 3.31 3.84 3.99 6.72 1.94 0.71 1.00 0.16 (4.35) (4.75) (4.86) (4.81) (4.66) (4.80) (6.25) (3.17) (1.52) (3.56) (0.81) Function and quality of life  HRQoL(SF-36; PCS) 49.88 (9.36) 48.27 48.22 48.35 (10.22) 47.83 (10.54) 48.03 (10.82) 48.49 (11.63) 45.25 (12.55) 51.00 (7.77) 50.38 (9.24) 53.59 (4.94) (10.31) (10.35)  HRQoL(SF-36; MCS) 41.63 (8.85) 38.59 38.21 38.98 (8.95) 37.65 (8.32) 35.28 (8.64) 32.76 (7.14) 39.5 (11.73) 46.28 (5.28) 47.72 (4.62) 47.77 (4.36) (8.94) (8.84)  Function(LFQ) 213 21.90 22.27 21.37 22.78 24.24 28.00 21.17 20.33 17.24 15.31 (7.99) (8.31) (8.39) (8.52) (7.58) (7.83) (9.92) (8.03) (9.71) (5.06) (4.28)  Medical conditions (count) 2.95 3.52 3.58 3.53 3.73 3.41 4.33 2.96 2.53 1.78 1.52 (2.44) (2.49) (2.49) (2.51) (2.35) (2.26) (3.28) (2.36) (2.42) (1.92) (1.58) Personality  Neuroticism 56.96 62.83 63.54 62.27 66.14 70.63 65.33 61.81 49.57 47.90 43.52 (15.63) (14.08) (13.86) (13.85) (14.13) (13.92) (12.08) (11.65) (13.42) (10.98) (10.03)  Extraversion 49.26 48.27 48.06 48.90 44.89 43.63 49.58 49.56 51.71 51.05 51.50 (11.59) (12.33) (12.36) (12.44) (12.29) (15.31) (9.78) (15.14) (9.43) (12.25) (8.91)  Openness 56.92 57.99 58.22 58.69 57.43 60.69 55.78 53.25 56.07 53.44 54.80 (11.91) (12.29) (12.40) (12.56) (12.27) (10.68) (11.91) (10.01) (10.69) (8.36) (11.05)  Agreeableness 49.66 49.29 49.16 50 47.31 53.19 45.78 49.5 51.57 47 51.06 (12.26) (12.82) (12.94) (12.49) (14.01) (13.19) (13.09) (11.82) (11.02) (10.72) (10.87)  Conscientiousness 46.04 44.17 43.75 43.13 47.09 43.88 41.69 47.44 50.54 49.31 50.24 (13.16) (13.75) (13.60) (13.62) (13.83) (13.53) (12.29) (12.66) (15.73) (11.33) (10.64) PHQ-9, Patient Health Questionnaire-9 item; ASRM, Altman Self-Rating Mania Scale: HRQoL, Health Related Quality of Life; LFQ, Life Functioning Questionnaire; YMRS, Young Mania Rating Scale; HAM-D, Hamilton Depression Rating Scale: SF-36, Short Form Survey- 36-Item. Open in new tab Supplementary Tables 1 and 2 (available as Supplementary data at IJE online) describe the distribution of psychiatric disorders and chronic medical conditions in the pooled sample as well as based on diagnosis category. Supplementary Table 3 (available as Supplementary data at IJE online) describes the distribution of follow-up status and reasons for withdrawal from the cohort. Of the 1111 participants who were enrolled, 960 (86%) had longitudinal data defined as two or more observations at different time points over the follow-up period. How often have they been followed up? The measures and the assessment frequency for this study are described in Table 3. Individuals are followed up on a bi-monthly basis with self-report measures of severity of mood symptoms using the 9-item Patient Health Questionnaire (PHQ-9)18 and Altman Self-Rating Mania Scale (ASRM).19 Individuals also filled out the Short Form 12 (SF12).20 Since 2012, we have also added the Generalized Anxiety Disorder 7-item (GAD-7),21 Seasonal Pattern Assessment Questionnaire (SPAQ)22 and Columbia Suicide Severity Rating Scale (C-SSRS)23 scales to our battery. At 6 months, all participants completed the Short Form 36 (SF36),24 Alcohol Use Disorders Identification Test (AUDIT),25 Fagerstrom Test for Nicotine Dependence (FTND),26 Pittsburgh Sleep Quality Index (PSQI)27 and Life Events and Occurrences Scale (LEOS).28 Annual measures included measures of clinical severity, life functioning and environmental assessments (see Table 3). Neurocognitive assessments were performed at baseline, year 1, year 5 and year 10. The Longitudinal Interval Follow-up Evaluation (LIFE)29 was administered by clinicians every 2 years. A best estimate diagnostic review process was performed after the initial evaluation and was reviewed by two doctoral level clinicians with consideration of the available medical records and other relevant historical records such as pharmaceutical records. When the diagnosis is suspected to have changed following a clinically relevant event such as an admission or a LIFE interview, a best-estimate process is triggered to re-review the diagnosis. When the diagnosis changes, the individual continues to be followed but is no longer considered to be a member of the initial diagnostic category. Table 3 Measures and their timing across study domains Phenotypic Class . Measure/Process . Items . Format . Construct/Subdomains . Timing in the Cohort . Disease Diagnostic Interview for Genetic Studies (DIGS)30 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Baseline Longitudinal Interval Follow up Evaluation29 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Bi-annual Temperament - Personality Revised NEO Personality Inventory (NEO PI-R) )31 240 Self-rated Personality: Extraversion, Agreeableness, Neuroticism, Openness to Experience, Conscientiousness, Baseline, 1 Year, 5 Year, 10 Year BIS-11: Barratt Impulsiveness Scale35 30 Self-rated Impulsivity Baseline Buss-Durkee Hostility Inventory33 75 Self-rated Hostility Baseline Brown-Goodwin Aggression History34 11 Self-rated Aggression Baseline Motivated Behavior Fagerstrom Test for Nicotine Dependence (FTND)26 6 Self-rated Substance use: Nicotine Dependence Every 6 months Alcohol Use Disorders Identification Test – Revised (AUDIT-R)25 10 Self-rated Substance use: Alcohol Dependence Every 6 months Life Experiences Life Events Occurrence Survey (LEOS)28 38 Self-rated Life Events Every 6 months Life Events Checklist (LEC)38 38 Self-rated Life Events Annually Family Adaptability and Cohesion Evaluation Scale (FACES) II88 30 Self-rated Social Relations Annually Childhood Trauma Questionnaire (CTQ)40 28 Self-rated Childhood Trauma Baseline Life Functioning Questionnaire (LFQ)89 14 Self-rated Functionality Every 2 Months Experiences in Close Relationships Revised39 36 Self-rated Close Relationships Baseline Working Alliance Inventory90 12 Self-rated Functionaliy Baseline Neuro-cognitive Function Wechsler Abbreviated Scale of Intelligence91 a Technician administered Intellectual Functioning Baseline California Verbal Learning Test92 a Technician administered Verbal Learning and Memory Baseline, years 1, 5, 10 Rey-Osterrieth Complex Figure Test93,94 a Technician administered Visual Learning and Memory Baseline, years 1, 5, 10 Facial Emotion Perception Test95 a Technician administered Emotion Processing Baseline, years 1, 5, 10 Emotion Processing Test96 a Technician Administered Emotion Processing Baseline, years 1, 5, 10 Purdue Pegboard Test97 a Technician administered Fine Motor Functioning Baseline, years 1, 5, 10 Parametric Go/No Go Test98 a Technician administered Attention and Response Control Baseline, years 1, 5, 10 Stroop Color Word Test99 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Trail Making Test100 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Wisconsin Card Sort Test101 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Synonym Knowledge Test102 a Technician administered Premorbid verbal skills Baseline, years 1, 5 Test of Memory Malingering103 a Technician administered Effort / Dissimulation Baseline, years 1, 5, 10 Circadian and sleep patterns Epworth Sleepiness Scale46 8 Self-rated Subjective sleep quality, Sleep latency, Sleep duration, Habitual sleep Efficiency Annually Pittsburgh Sleep Quality Index27 11 Self-rated Subjective sleep quality, Sleep latency, Sleep duration Habitual sleep Efficiency Every Six Months Munich Chronotype Questionnaire (MCTQ)47 37 Self-rated Chronotype: Morning or Evening person Annually Seasonal Pattern Assessment Questionnaire (SPAQ)22 29 Self-rated Seasonality of Circadian and Sleep Baseline Clinical Outcomes Patient Health Questionnaire (PHQ)18 9 Self-rated Depression Every 2 Months Hamilton Depression Rating Scale (HAM-D)48 21 Interviewer Depression Annually Young Mania Rating Scale (YMRS)49 11 Interviewer Mania Annually Altman Self-Rating Mania Scale (ASRM)19 5 Self-rated Mania Every 2 Months General Anxiety Disorder (GAD)21 7 Self-rated Anxiety Every 2 Months Columbia Suicide Severity Rating Scale (C-SSRS)23 a Self-rated Suicidality Annually Short Form Health Survey 12-Item (SF-12)20 12 Self-rated Quality of Life Every 2 Months Short Form Health Survey 36-Item (SF-36)24 36 Self-rated Quality of Life Every 6 months Phenotypic Class . Measure/Process . Items . Format . Construct/Subdomains . Timing in the Cohort . Disease Diagnostic Interview for Genetic Studies (DIGS)30 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Baseline Longitudinal Interval Follow up Evaluation29 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Bi-annual Temperament - Personality Revised NEO Personality Inventory (NEO PI-R) )31 240 Self-rated Personality: Extraversion, Agreeableness, Neuroticism, Openness to Experience, Conscientiousness, Baseline, 1 Year, 5 Year, 10 Year BIS-11: Barratt Impulsiveness Scale35 30 Self-rated Impulsivity Baseline Buss-Durkee Hostility Inventory33 75 Self-rated Hostility Baseline Brown-Goodwin Aggression History34 11 Self-rated Aggression Baseline Motivated Behavior Fagerstrom Test for Nicotine Dependence (FTND)26 6 Self-rated Substance use: Nicotine Dependence Every 6 months Alcohol Use Disorders Identification Test – Revised (AUDIT-R)25 10 Self-rated Substance use: Alcohol Dependence Every 6 months Life Experiences Life Events Occurrence Survey (LEOS)28 38 Self-rated Life Events Every 6 months Life Events Checklist (LEC)38 38 Self-rated Life Events Annually Family Adaptability and Cohesion Evaluation Scale (FACES) II88 30 Self-rated Social Relations Annually Childhood Trauma Questionnaire (CTQ)40 28 Self-rated Childhood Trauma Baseline Life Functioning Questionnaire (LFQ)89 14 Self-rated Functionality Every 2 Months Experiences in Close Relationships Revised39 36 Self-rated Close Relationships Baseline Working Alliance Inventory90 12 Self-rated Functionaliy Baseline Neuro-cognitive Function Wechsler Abbreviated Scale of Intelligence91 a Technician administered Intellectual Functioning Baseline California Verbal Learning Test92 a Technician administered Verbal Learning and Memory Baseline, years 1, 5, 10 Rey-Osterrieth Complex Figure Test93,94 a Technician administered Visual Learning and Memory Baseline, years 1, 5, 10 Facial Emotion Perception Test95 a Technician administered Emotion Processing Baseline, years 1, 5, 10 Emotion Processing Test96 a Technician Administered Emotion Processing Baseline, years 1, 5, 10 Purdue Pegboard Test97 a Technician administered Fine Motor Functioning Baseline, years 1, 5, 10 Parametric Go/No Go Test98 a Technician administered Attention and Response Control Baseline, years 1, 5, 10 Stroop Color Word Test99 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Trail Making Test100 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Wisconsin Card Sort Test101 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Synonym Knowledge Test102 a Technician administered Premorbid verbal skills Baseline, years 1, 5 Test of Memory Malingering103 a Technician administered Effort / Dissimulation Baseline, years 1, 5, 10 Circadian and sleep patterns Epworth Sleepiness Scale46 8 Self-rated Subjective sleep quality, Sleep latency, Sleep duration, Habitual sleep Efficiency Annually Pittsburgh Sleep Quality Index27 11 Self-rated Subjective sleep quality, Sleep latency, Sleep duration Habitual sleep Efficiency Every Six Months Munich Chronotype Questionnaire (MCTQ)47 37 Self-rated Chronotype: Morning or Evening person Annually Seasonal Pattern Assessment Questionnaire (SPAQ)22 29 Self-rated Seasonality of Circadian and Sleep Baseline Clinical Outcomes Patient Health Questionnaire (PHQ)18 9 Self-rated Depression Every 2 Months Hamilton Depression Rating Scale (HAM-D)48 21 Interviewer Depression Annually Young Mania Rating Scale (YMRS)49 11 Interviewer Mania Annually Altman Self-Rating Mania Scale (ASRM)19 5 Self-rated Mania Every 2 Months General Anxiety Disorder (GAD)21 7 Self-rated Anxiety Every 2 Months Columbia Suicide Severity Rating Scale (C-SSRS)23 a Self-rated Suicidality Annually Short Form Health Survey 12-Item (SF-12)20 12 Self-rated Quality of Life Every 2 Months Short Form Health Survey 36-Item (SF-36)24 36 Self-rated Quality of Life Every 6 months aThe number of items in the test varies with the patient response. Open in new tab Table 3 Measures and their timing across study domains Phenotypic Class . Measure/Process . Items . Format . Construct/Subdomains . Timing in the Cohort . Disease Diagnostic Interview for Genetic Studies (DIGS)30 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Baseline Longitudinal Interval Follow up Evaluation29 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Bi-annual Temperament - Personality Revised NEO Personality Inventory (NEO PI-R) )31 240 Self-rated Personality: Extraversion, Agreeableness, Neuroticism, Openness to Experience, Conscientiousness, Baseline, 1 Year, 5 Year, 10 Year BIS-11: Barratt Impulsiveness Scale35 30 Self-rated Impulsivity Baseline Buss-Durkee Hostility Inventory33 75 Self-rated Hostility Baseline Brown-Goodwin Aggression History34 11 Self-rated Aggression Baseline Motivated Behavior Fagerstrom Test for Nicotine Dependence (FTND)26 6 Self-rated Substance use: Nicotine Dependence Every 6 months Alcohol Use Disorders Identification Test – Revised (AUDIT-R)25 10 Self-rated Substance use: Alcohol Dependence Every 6 months Life Experiences Life Events Occurrence Survey (LEOS)28 38 Self-rated Life Events Every 6 months Life Events Checklist (LEC)38 38 Self-rated Life Events Annually Family Adaptability and Cohesion Evaluation Scale (FACES) II88 30 Self-rated Social Relations Annually Childhood Trauma Questionnaire (CTQ)40 28 Self-rated Childhood Trauma Baseline Life Functioning Questionnaire (LFQ)89 14 Self-rated Functionality Every 2 Months Experiences in Close Relationships Revised39 36 Self-rated Close Relationships Baseline Working Alliance Inventory90 12 Self-rated Functionaliy Baseline Neuro-cognitive Function Wechsler Abbreviated Scale of Intelligence91 a Technician administered Intellectual Functioning Baseline California Verbal Learning Test92 a Technician administered Verbal Learning and Memory Baseline, years 1, 5, 10 Rey-Osterrieth Complex Figure Test93,94 a Technician administered Visual Learning and Memory Baseline, years 1, 5, 10 Facial Emotion Perception Test95 a Technician administered Emotion Processing Baseline, years 1, 5, 10 Emotion Processing Test96 a Technician Administered Emotion Processing Baseline, years 1, 5, 10 Purdue Pegboard Test97 a Technician administered Fine Motor Functioning Baseline, years 1, 5, 10 Parametric Go/No Go Test98 a Technician administered Attention and Response Control Baseline, years 1, 5, 10 Stroop Color Word Test99 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Trail Making Test100 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Wisconsin Card Sort Test101 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Synonym Knowledge Test102 a Technician administered Premorbid verbal skills Baseline, years 1, 5 Test of Memory Malingering103 a Technician administered Effort / Dissimulation Baseline, years 1, 5, 10 Circadian and sleep patterns Epworth Sleepiness Scale46 8 Self-rated Subjective sleep quality, Sleep latency, Sleep duration, Habitual sleep Efficiency Annually Pittsburgh Sleep Quality Index27 11 Self-rated Subjective sleep quality, Sleep latency, Sleep duration Habitual sleep Efficiency Every Six Months Munich Chronotype Questionnaire (MCTQ)47 37 Self-rated Chronotype: Morning or Evening person Annually Seasonal Pattern Assessment Questionnaire (SPAQ)22 29 Self-rated Seasonality of Circadian and Sleep Baseline Clinical Outcomes Patient Health Questionnaire (PHQ)18 9 Self-rated Depression Every 2 Months Hamilton Depression Rating Scale (HAM-D)48 21 Interviewer Depression Annually Young Mania Rating Scale (YMRS)49 11 Interviewer Mania Annually Altman Self-Rating Mania Scale (ASRM)19 5 Self-rated Mania Every 2 Months General Anxiety Disorder (GAD)21 7 Self-rated Anxiety Every 2 Months Columbia Suicide Severity Rating Scale (C-SSRS)23 a Self-rated Suicidality Annually Short Form Health Survey 12-Item (SF-12)20 12 Self-rated Quality of Life Every 2 Months Short Form Health Survey 36-Item (SF-36)24 36 Self-rated Quality of Life Every 6 months Phenotypic Class . Measure/Process . Items . Format . Construct/Subdomains . Timing in the Cohort . Disease Diagnostic Interview for Genetic Studies (DIGS)30 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Baseline Longitudinal Interval Follow up Evaluation29 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Bi-annual Temperament - Personality Revised NEO Personality Inventory (NEO PI-R) )31 240 Self-rated Personality: Extraversion, Agreeableness, Neuroticism, Openness to Experience, Conscientiousness, Baseline, 1 Year, 5 Year, 10 Year BIS-11: Barratt Impulsiveness Scale35 30 Self-rated Impulsivity Baseline Buss-Durkee Hostility Inventory33 75 Self-rated Hostility Baseline Brown-Goodwin Aggression History34 11 Self-rated Aggression Baseline Motivated Behavior Fagerstrom Test for Nicotine Dependence (FTND)26 6 Self-rated Substance use: Nicotine Dependence Every 6 months Alcohol Use Disorders Identification Test – Revised (AUDIT-R)25 10 Self-rated Substance use: Alcohol Dependence Every 6 months Life Experiences Life Events Occurrence Survey (LEOS)28 38 Self-rated Life Events Every 6 months Life Events Checklist (LEC)38 38 Self-rated Life Events Annually Family Adaptability and Cohesion Evaluation Scale (FACES) II88 30 Self-rated Social Relations Annually Childhood Trauma Questionnaire (CTQ)40 28 Self-rated Childhood Trauma Baseline Life Functioning Questionnaire (LFQ)89 14 Self-rated Functionality Every 2 Months Experiences in Close Relationships Revised39 36 Self-rated Close Relationships Baseline Working Alliance Inventory90 12 Self-rated Functionaliy Baseline Neuro-cognitive Function Wechsler Abbreviated Scale of Intelligence91 a Technician administered Intellectual Functioning Baseline California Verbal Learning Test92 a Technician administered Verbal Learning and Memory Baseline, years 1, 5, 10 Rey-Osterrieth Complex Figure Test93,94 a Technician administered Visual Learning and Memory Baseline, years 1, 5, 10 Facial Emotion Perception Test95 a Technician administered Emotion Processing Baseline, years 1, 5, 10 Emotion Processing Test96 a Technician Administered Emotion Processing Baseline, years 1, 5, 10 Purdue Pegboard Test97 a Technician administered Fine Motor Functioning Baseline, years 1, 5, 10 Parametric Go/No Go Test98 a Technician administered Attention and Response Control Baseline, years 1, 5, 10 Stroop Color Word Test99 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Trail Making Test100 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Wisconsin Card Sort Test101 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Synonym Knowledge Test102 a Technician administered Premorbid verbal skills Baseline, years 1, 5 Test of Memory Malingering103 a Technician administered Effort / Dissimulation Baseline, years 1, 5, 10 Circadian and sleep patterns Epworth Sleepiness Scale46 8 Self-rated Subjective sleep quality, Sleep latency, Sleep duration, Habitual sleep Efficiency Annually Pittsburgh Sleep Quality Index27 11 Self-rated Subjective sleep quality, Sleep latency, Sleep duration Habitual sleep Efficiency Every Six Months Munich Chronotype Questionnaire (MCTQ)47 37 Self-rated Chronotype: Morning or Evening person Annually Seasonal Pattern Assessment Questionnaire (SPAQ)22 29 Self-rated Seasonality of Circadian and Sleep Baseline Clinical Outcomes Patient Health Questionnaire (PHQ)18 9 Self-rated Depression Every 2 Months Hamilton Depression Rating Scale (HAM-D)48 21 Interviewer Depression Annually Young Mania Rating Scale (YMRS)49 11 Interviewer Mania Annually Altman Self-Rating Mania Scale (ASRM)19 5 Self-rated Mania Every 2 Months General Anxiety Disorder (GAD)21 7 Self-rated Anxiety Every 2 Months Columbia Suicide Severity Rating Scale (C-SSRS)23 a Self-rated Suicidality Annually Short Form Health Survey 12-Item (SF-12)20 12 Self-rated Quality of Life Every 2 Months Short Form Health Survey 36-Item (SF-36)24 36 Self-rated Quality of Life Every 6 months aThe number of items in the test varies with the patient response. Open in new tab What has been measured? Bipolar disorder was deconstructed into seven phenotypic classes as outlined in Figure 1 (phenoclasses), each of which contains relevant measures that describe elements that map to the specific class. Disease class The standard categorical diagnoses of disease were gathered using the Diagnostic Interview for Genetic Studies (DIGS),30 a detailed clinical assessment that applies operational criteria to determine the lifetime diagnoses. The LIFE,29 a clinical assessment selected to estimate the episode frequency over the preceding time period, was administered on average every 2 years. Neurocognitive class Neurocognitive measures of auditory and visual memory, emotion processing, motor control and excecutive functioning, which includes inhibitory control, conceptual reasoning and set shifting, are listed in Table 3. The goal of assessing this phenotypic class was to measure neurocognitive functioning in individuals with BP compared with controls, in order to evaluate the relationship between neurocognitive functioning and BP. Measures were repeated to evaluate the effect of variable mood states and time course on cognitive states. Psychological dimensions class Personality and temperament are dimensional features measured with the NEO-Personality Inventory Revised (NEO PI-R),31 a 240-item self-report scale based on the five-factor model of personality.32 Additional temperamental and psychological measures include the Buss-Durkee Hostility Inventory (BDHI) which measures an attitudinal component of hostility (Resentment and Suspicion) and a motor component (Assault, Indirect Hostility, Irritability and Verbal Hostility),33 Brown-Goodwin Life History of Aggression (BGLHA)34 and Barratt Impulsiveness Scale (BIS-11).35 The goal of these measures was to determine the psychological manifestation of disease. Motivated behaviour class The most common motivated behaviours among individuals with BP include substance use disorders such as alcohol abuse and use of illicit drugs and tobacco, which are frequently abused by individuals with BP. Lifetime data are gathered (DIGS interview)30 and ongoing use patterns are assessed bi-annually using the AUDIT scale.25 Smoking is assessed using the Fagerstrom Test for Nicotine Dependence (FTND).26 The onset, nature and frequency of substance use relative to BP is of aetiological interest as it remains unclear as to whether BP can be caused or exacerbated by substance abuse36 or if substance abuse occurs consequentially to BP disorder and influences the course of illness.37 Life story class The life story class records data on life events,28,38 experiences in intimate relationships,39 childhood trauma40 and the familial environment.41,42 Personal experiences throughout life vary considerably, as does the personal perception of these experiences.43 The data are self-report and often retrospective, selected to measure and compare the influence of life experiences in the context of BP disorder. Circadian pattern and sleep class BP disorder has been proposed to be an illness of circadian rhythms.44 Associations have been reported with clock genes known to affect circadian patterns.45 To determine the effect of this phenotypic class, we gathered data on circadian and sleep patterns using standard scales measuring sleep quality,27 daytime sleepiness46 and circadian patterns.47 Outcomes and severity class Bipolar disorders are defined by DSM IV criteria15 but are characterized by their trajectory, the severity of symptoms, the number of episodes, response to medications and the ability of the individual to engage in social, personal and vocational activities. In this study, regular measures of depression and mania symptoms were recorded using clinician-rated instruments48,49 and self-rated instruments.18–20 Included in this class are responses to medication and other interventional strategies to manage BP. Other data At the time of enrolment in the study, a blood sample was procured to obtain a DNA sample. Lymphoblastic cell lines were initially established but this was discontinued in 2012. All individuals currently undergo genotyping use the Infinium Human Core Exome v1–0 genomic panel from Illumina. A subset of the cohort has undergone an average of 9X whole genome sequencing. The genomic sequence has been imputed for the remainder. What has been found? Key findings and publications Comorbidities Medical and psychiatric disorders are comorbid with BP in the PrBP cohort, which is consistent with previous studies.50 Migraine headaches were found to be more frequent among BP compared with controls (31% vs 6%; odds ratio (OR) = 3.5, 95% confidence interval (CI): 2.1–5.8), with greater risks associated with female sex, increases in measures of severity (earlier onset and greater frequency of mood episodes) and a history abuse or neglect.51 Eating disorders (ED), anxiety disorders and alcohol use disorders were also more common among individuals with BP compared with controls.52 The age at onset of BP was earlier with comorbid ED (15.1 vs 18.4 years, P = 0.002); if anxiety onset preceded ED (13 vs 15.1 years, P < 0.05); and if the onset of alcohol use disorders occurred after a comorbid diagnosis of both BP and ED.52 Comorbid alcohol use disorder and BP affected several measures of cognitive functioning.53 In addition, metabolic syndrome is common among participants in the PrBP cohort.54 Trauma and life history Life events and experiences shape the individual. A history of childhood trauma was common among the BP individuals compared with the controls, and in general is associated with a detrimental effect on inhibitory control and attention accuracy as measured in Parametric Go/NoGo trials (NoGo P = 0.013; Go P < 0.001).55 Reaction times were also associated with age of onset and illness duration. Depressive symptoms at the time of assessment were not associated with outcome.55 A history of trauma increased the risk of ED.52 Diet, metabolites, microbiome and health outcome Detailed dietary assessments identified lower intake of polyunsaturated fats and higher level of saturated fats in individuals with BP (P = 0.021), suggesting that lifestyle and dietary changes were warranted from a metabolic perspective.56 Arachadonic acid levels were lower among those with a history of suicide attempts compared with non-attempters (P = 0.026).57 Lower levels of linoleic acid predicted worse outcomes of mood burden (P = 0.03).58 An association between the ratios of plasma ω-3 and ω-6 lipids with burden of disease measures was found in individuals with BP.59 Taxonomical characterization of the microbiome in BP found a relative decrease in Faecalibacterium, a gut bacterium that is associated broadly with human disease states and is associated with increased measures of depressive symptoms and sleep disturbances among those with BP.60 Antipsychotic medication has an effect on the microbiome by decreasing species diversity, specifically among females with BP (P = 0.015).61 Sex and gender differences in the course and risk factors of BP In women, but not men, poor sleep quality at baseline predicted increased severity and frequency of episodes of depression (P < 0.001), and poor sleep quality was a stronger predictor than baseline depression.62 Poor sleep quality at baseline was a predictor of the severity and variability of mania as well as frequency of mixed episodes.63 In men, however, baseline depression was a stronger predictor of mood outcome compared with poor sleep quality.62 Sex differences are identified in many studies of the PrBP cohort, from microbiome,61 and comorbidities51,52 to cognitive functioning.64 Personality traits and course of illness Over 2 years of follow-up of patients with BP, personality trait—particularly neuroticism—was found to influence severity of the illness, measured by average depressive and mania symptoms.62 Neuroticism was a stronger predictor of mood outcome in men than women. In men, neuroticism was also a stronger predictor of course than sleep quality.62 Neurocognitive function at baseline, over time, and genetic correlates At study entry, neurocognitive function was poorer in BP than controls in several measures of memory, executive functioning and motor abilities;65,66 however, changes in executive functioning from baseline to 5-year follow-up were similar across diagnostic groups.67 Older age at baseline was associated with worse initial performance in executive functioning and with greater decline in processing speed with interference resolution as well as verbal fluency with processing speed. There is likely to be a combined effect of age and BP on cognitive functioning.68 Higher education was marginally associated with a smaller declining slope for processing speed with interference resolution.67 The phase of illness (elevated mood vs depressed mood) affected the cognitive scores, with the hypomanic/mixed affective state being more sensitive (P = 0.0001).66 Overall, cognitive and emotional reactivity appears to be dysregulated in BP individuals.69 Cognitive ability is affected by treatment with second-generation antipsychotics (SGAs), with measurable influence from genetic variation; BP individuals with the COMT rs5993883 GG-genotype treated with SGAs had lower verbal learning and memory scores, and lower scores on a cognitive control task.70 An interaction was found between SGA-COMT and GG-genotype on verbal learning, verbal memory and control.70 Genetics and cellular modelling Data from the PrBP cohort have been included in genome-wide association (GWAS) studies71,72 that have confirmed susceptibility genes CACNA1C and ANK3 for BP. Offspring at risk of BP from this cohort73 show an increase in the polygenic risk score (PRS) among those developing affective phenotypes.74 Categorization according to internalizing (e.g. anxiety) disorders and externalizing (substance abuse) disorders clearly demonstrated familial aggregation.75 Cellular models of BP using neurons derived from induced pluripotent stem cells (iPSC) from fibroblasts sampled from the PrBP cohort found evidence of hyper-excitability of BP-derived neurons compared with control neurons. The hyper-excitability could be returned to control levels when the neurons were cultured overnight with a therapeutic concentration of lithium.76,77 There was also evidence of disrupted neural patterning, consistent with a developmental aetiology driving BP.78 Microarray analysis of these neurons has identified a panel of misregulated microRNAs79 and alterations in astrocyte behaviour and function.80 Computational modelling The clinical course and longitudinal pattern from the LIFE interview was the basis for Bayesian nonparametric hierarchical modelling using latent class and patient-specific models. Three subtypes were justified using the course of subsyndromal patterns, and differed in the rates of attempted suicide, disability status and chronicity of affective symptoms.81 Modelling of acoustic patterns of speech passively captured from conversations on a smartphone identified acoustic features associated with depressive and manic states, with acceptable accuracy for each state [area under the curve (AUC) 0.74 and 0.70, respectively.82 Latent growth modelling of executive functioning in BP found an effect of age and baseline functioning. Individuals with BP had poorer executive functioning, but the linear slope of the decline over 5 years was the same as in the control group.67 What are the main strengths and weaknesses? The major strength of the PrBP cohort is the detail and depth of clinical and biological data obtained about the participants. A core of dedicated participant collaborators continues to demonstrate a shared passion and vision for research dedicated to solutions for BP disorder. The study has investigators from psychiatry, engineering, mathematics, cell and developmental biology, among other disciplines, all of whom have contributed to the multidisciplinary nature of the cohort data. The project was designed to gather extensive amounts of data from the phenotype classes. There are extensive follow-up data on all individuals, with symptom severity measures gathered every 2 months, a semi-annual assessment of behaviours, an annual assessment of disease symptoms and environmental influences, and evaluation of cognitive functions at baseline and years 1, 5 and 10. A baseline biological measure, a genotype fingerprint consisting of 340 000 SNPs (single nucleotide polymorphisms), was routinely collected on these participants for analytical purposes and identity confirmation. A considerable amount of self-report data has been gathered on the participants; this is a strength from the perspective of consistency because the data are directly reported by the participant. A potential drawback of self-reported data is that there will be variability based on personal self-assessments, but this is mitigated in most questionnaires by providing descriptive statements associated with the numerical values. Additional weaknesses include the limited geographical ascertainment from a college town and community in Southeast Michigan, reflected in the demographics (the majority of the cohort is White and college educated). This is an important consideration, given the potential link between social class and BP.83,84 A related limitation includes its modest cohort size (particularly for minorities, the very young and elderly) of cases and controls, which is due in part to the labour-intensive nature of clinical research and the commitment required from participants for longitudinal follow-up. This may skew the sample towards a well-educated and committed group of participants who willing to participate in long-term studies and may not reflect the bipolar population with severe chronic illness in an underserved inner city community. The diagnostic categories remain in the DSM IV definitions and have yet to be updated to DSM 5. There are no substantive changes for the lifetime diagnosis of BP between DSM IV and DSM 5, as the DIGS interview uses the most severe episode of depression and mania to establish the initial study entry diagnosis. Data on temperament and personality were collected with standardized assessment tools such as the NEO PI-R, a dimensional instrument based on the 5-factor model of personality;31 no attempts were made to collect categorical personality information based on the DSM criteria. Similar to other cohorts such as STEP-BD,85 LITMUS86 and the Stanley Bipolar Study,87 the average age of intake into the Prechter study is 38.6. Despite a mean age at first episode of 17.6 years, individuals with BP appear less likely to engage in the study at earlier phases of their illness. The PrBP aspires to maintain active participation of individuals for their lifetime and to strengthen the engagement of minorities, younger people with BP, and those at risk for the illness. The Heinz C. Prechter Bipolar Genetic Repository provides access to these unique clinical and biological data. The availability of the data and the biological samples (DNA and cell lines), as well as continued commitment of the participants, will provide a solid base for ongoing research into mechanistic and preventative research programmes in bipolar and related mood disorders. Can I get hold of the data? Where can I find out more? All data and samples are available through the Heinz C. Prechter Genetic Repository, distributed by the University of Michigan Central Biorepository (CBR). Enquiries: [http://www.prechterprogram.org/data]. Initial evaluation, DNA and genotype data are available for independent analyses. Longitudinal and outcomes data are available subject to review of the proposed analyses. Updated publications are referenced: [http://www.prechterfund.org/bipolar-research/publications/]. Supplementary Data Supplementary data are available at IJE online. Profile in a nutshell This open longitudinal cohort of bipolar disorder was set up to identify biological and psychological mechanisms, and clinical predictors of disease and outcomes. It advances a multi-modal approach for computational analyses using the unique features of the breadth and depth of data from seven phenotypic classes. Data for the PrBP cohort were collected in SE Michigan from 2005 to 2017; there are 1111 participants in the baseline sample described herein, and ascertainment and follow-up continues. The study population reflects the local population, 80% Caucasian and 20% minorities; the average age at entry is 39 (range 18 – 65). Bi-monthly follow-up takes place after an extensive baseline evaluation. Participants currently active: 850; aggregate attrition rate: 75%; 960 (86%) participants have at least two follow-up points. Seven phenotypic classes include categorical or dimensional assessments:(i) disease (DSM); (ii) neurocognitive; (iii) psychological/temperament; (iv) motivated behaviours; (v) life story; (vi) circadian patterns; and (vii) outcomes and severity. Funding The Heinz C Prechter Bipolar Research Fund supported the collection of the data for the Prechter Longitudinal Study of Bipolar Disorder and the Prechter Bipolar Genetic Repository. The Richard Tam Foundation, the Steven Schwartzberg Memorial Fund, the Kelly Elizabeth Beld Memorial Fund and the National Institutes of Health (R34MH100404, U19MH106434 and UL1TR000443) supported research described herein using the Prechter cohort. Acknowledgements We are grateful to the many participants of the research study, all of whom have given so much of their personal time and experiences to this work. We especially thank Waltraud Prechter and her family and the many supporters of the Heinz C. Prechter Bipolar Research Fund who have made this work possible. We dedicate this manuscript to Heinz Prechter (19 January 1942 to– 6 July 2001). Members of the Prechter Bipolar Clinical Research Collaborative: Gloria J. Harrington, Monica Bame, Holli Bertram, Christine Brucksch, Jinsoo Chun, Amy Cochran, Cynthia DeLong, Rebecca Easter, Vicki Ellingrod, Valerie Foster, Gu Eon Kang, Neera Ghaziuddin, John Gideon, John Greden, Christine Grimm, Melissa Gross, Paul Jenkins, Marisa Kelly, Soheil Khorram, Emily Martinez, Savanna Mueller, Lisa O’Donnell, Brianna Preiser, Allan Prossin, Stephen B. Thompson, Aislinn Williams. Conflict of interest: In the past 3 years, MGM has served as a consultant to Takeda, Otsuka and Janssen Pharmaceuticals. References 1 Goodwin FK , Jamison KR, Ghaemi SN. Manic-depressive illness: bipolar disorders and recurrent depression . New York , Oxford University Press , 2007 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 2 Tondo L , Pompili M, Forte A, Baldessarini RJ. Suicide attempts in bipolar disorders: comprehensive review of 101 reports . Acta Psychiatr Scand . 2016 ; 133 : 174 – 86 . Google Scholar Crossref Search ADS PubMed WorldCat 3 Harris EC , Barraclough B. Suicide as an outcome for mental disorders . A meta-analysis. Br J Psychiatry . 1997 ; 170 : 205 – 28 . Google Scholar Crossref Search ADS WorldCat 4 Slater E . The Inheritance of Manic-depressive Insanity and Its Relation to Mental Defect . J Ment Sci . 1936 ; 82 : 626 – 34 . Google Scholar Crossref Search ADS WorldCat 5 McGuffin P , Rijsdijk F, Andrew M, Sham P, Katz R, Cardno A. The heritability of bipolar affective disorder and the genetic relationship to unipolar depression . Arch Gen Psychiatry . 2003 ; 60 : 497 – 502 . Google Scholar Crossref Search ADS PubMed WorldCat 6 Gershon ES , Hamovit J, Guroff JJ, Nurnberger JI, Goldin LR, Bunney WE. A Family Study of Schizoaffective, Bipolar I, Bipolar II, Unipolar and Normal Control Probands . Arch Gen Psychiatry . 1982 ; 39 : 1157 – 67 . Google Scholar Crossref Search ADS PubMed WorldCat 7 Goes FS . Genetics of Bipolar Disorder: Recent Update and Future Directions . Psychiatr Clin North Am . 2016 ; 39 : 139 – 55 . Google Scholar Crossref Search ADS PubMed WorldCat 8 Ludwig B , Dwivedi Y. Dissecting bipolar disorder complexity through epigenomic approach . Mol Psychiatry . 2016 ; 21 : 1490 – 98 . Google Scholar Crossref Search ADS PubMed WorldCat 9 Johnson SL , Cuellar AK, Gershon A. The Influence of Trauma, Life Events, and Social Relationships on Bipolar Depression . Psychiatr Clin North Am . 2016 ; 39 : 87 – 94 . Google Scholar Crossref Search ADS PubMed WorldCat 10 Lief A . The commonsense psychiatry of Dr. Adolf Meyer . New York , McGraw-Hill , 1948 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 11 McHugh PR , Slavney PR. The perspectives of psychiatry . Baltimore , Johns Hopkins University Press , 1983 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 12 Kendler KS . The dappled nature of causes of psychiatric illness: replacing the organic-functional/hardware-software dichotomy with empirically based pluralism . Mol Psychiatry . 2012 ; 17 : 377 – 88 . Google Scholar Crossref Search ADS PubMed WorldCat 13 Vandenbroucke JP , Broadbent A, Pearce N. Causality and causal inference in epidemiology: the need for a pluralistic approach . Int J Epidemiol . 2016 ; 45 : 1776 – 86 . Google Scholar Crossref Search ADS PubMed WorldCat 14 Cuthbert BN , Insel TR. Toward new approaches to psychotic disorders: the NIMH Research Domain Criteria project . Schizophr Bull . 2010 ; 36 : 1061 – 2 . Google Scholar Crossref Search ADS PubMed WorldCat 15 American Psychiatric Association . Task Force on DSM-IV. Diagnostic and statistical manual of mental disorders : DSM-IV . Washington, DC , American Psychiatric Association , 1994 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 16 First MB . Preserving the clinician-researcher interface in the age of RDoC: the continuing need for DSM-5/ICD-11 characterization of study populations . World Psychiatry . 2014 ; 13 : 53 – 54 . Google Scholar Crossref Search ADS PubMed WorldCat 17 Sathiakumar N , Delzell E, Abdalla O. Using the National Death Index to obtain underlying cause of death codes . J Occup Environ Med . 1998 ; 40 : 808 – 13 . Google Scholar Crossref Search ADS PubMed WorldCat 18 Kroenke K , Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure . J Gen Intern Med . 2001 ; 16 : 606 – 13 . Google Scholar Crossref Search ADS PubMed WorldCat 19 PsychiatryAltman Biological EG , Hedeker D, Peterson JL, Davis JM. The Altman Self-Rating Mania Scale . Biol Psychiatry . 1997 ; 42 : 948 – 55 . Google Scholar Crossref Search ADS PubMed WorldCat 20 Ware J Jr ., Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity . Med Care . 1996 ; 34 : 220 – 33 . Google Scholar Crossref Search ADS PubMed WorldCat 21 Spitzer RL , Kroenke K, Williams JBW, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7 . Arch Intern Med . 2006 ; 166 : 1092 . Google Scholar Crossref Search ADS PubMed WorldCat 22 Rosenthal NE , Bradt GH, Wehr TA. Seasonal pattern assessment questionnaire . National Institute of Mental Health : Bethesda ; 1987 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 23 Posner K , Brown GK, Stanley B, et al. The Columbia-Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults . Am J Psychiatry . 2011 ; 168 : 1266 – 77 . Google Scholar Crossref Search ADS PubMed WorldCat 24 Ware JE Jr ., Sherbourne CD. The MOS 36-item short-form health survey (SF-36) . I. Conceptual framework and item selection. Med Care . 1992 ; 30 : 473 – 83 . Google Scholar OpenURL Placeholder Text WorldCat 25 Saunders JB , Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption–II . Addiction . 1993 ; 88 : 791 – 804 . Google Scholar Crossref Search ADS PubMed WorldCat 26 Heatherton TF , Kozlowski LT, Frecker RC, Fagerstrom KO. The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire . Br J Addict . 1991 ; 86 : 1119 – 27 . Google Scholar Crossref Search ADS PubMed WorldCat 27 Buysse DJ , Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index - A New Instrument for Psychiatric Practice and Research . Psychiatry Res . 1989 ; 28 : 193 – 213 . Google Scholar Crossref Search ADS PubMed WorldCat 28 McKee SA , Kochetkova A, Maciejewski P, O’Malley S, Krishnan-Sarin S, Mazur CM, editors. A new measure for assessing the impact of stressful events on smoking behavior . Annual Meeting of the Society for Research on Nicotine and Tobacco ; 2005 . Prague . Google Scholar OpenURL Placeholder Text WorldCat 29 Keller MB , Lavori PW, Friedman B, et al. The Longitudinal Interval Follow-up Evaluation. A comprehensive method for assessing outcome in prospective longitudinal studies . Arch Gen Psychiatry . 1987 ; 44 : 540 – 48 . Google Scholar Crossref Search ADS PubMed WorldCat 30 Nurnberger JI Jr ., Blehar MC, Kaufmann CA, et al. Diagnostic interview for genetic studies. Rationale, unique features, and training. NIMH Genetics Initiative . Arch Gen Psychiatry . 1994 ; 51 : 849 – 59 . Google Scholar Crossref Search ADS PubMed WorldCat 31 Costa PT Jr ., McCrae RR. Personality in adulthood: a six-year longitudinal study of self-reports and spouse ratings on the NEO Personality Inventory . J Pers Soc Psychol . 1988 ; 54 : 853 – 63 . Google Scholar Crossref Search ADS PubMed WorldCat 32 Goldberg LR . The structure of phenotypic personality traits . Am Psychol . 1993 ; 48 : 26 – 34 . Google Scholar Crossref Search ADS PubMed WorldCat 33 Buss AH , Durkee A. An inventory for assessing different kinds of hostility . J Consult Psychol . 1957 ; 21 : 343 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 34 Brown GL , Goodwin FK, Ballenger JC, Goyer PF, Major LF. Aggression in humans correlates with cerebrospinal fluid amine metabolites . Psychiatry Res . 1979 ; 1 : 131 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 35 Barratt ES . Factor Analysis of Some Psychometric Measures of Impulsiveness and Anxiety . Psychol Rep . 1965 ; 16 : 547 – 54 . Google Scholar Crossref Search ADS PubMed WorldCat 36 Potash JB , McMahon FJ, Thomas CJ, et al. The relationship between alcoholism and Bipolar Affective disorder: Association in families of co-morbid probands . Am J Med Genet B Neuropsychiatr Genet . 1999 ; 81 : 491 – 91 . Google Scholar OpenURL Placeholder Text WorldCat 37 Ostacher MJ , Perlis RH, Nierenberg AA, et al. Impact of substance use disorders on recovery from episodes of depression in bipolar disorder patients: prospective data from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) . Am J Psychiatry . 2010 ; 167 : 289 – 97 . Google Scholar Crossref Search ADS PubMed WorldCat 38 Johnson JH , McCutcheon SM. Assessing life stress in older children and adolescents: Preliminary findings with the Life Events Checklist . Stress and anxiety . 1980 ; 7 : 111 – 25 . Google Scholar OpenURL Placeholder Text WorldCat 39 Sibley CG , Fischer R, Liu JH. Reliability and validity of the revised experiences in close relationships (ECR-R) self-report measure of adult romantic attachment . Pers Soc Psychol Bull . 2005 ; 31 : 1524 – 36 . Google Scholar Crossref Search ADS PubMed WorldCat 40 Bernstein DP , Fink L. Childhood trauma questionnaire: A retrospective self-report : Manual , Psychological Corporation , 1998 Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 41 Olson DH , Sprenkle DH, Russell CS. Circumplex model of marital and family system: I. Cohesion and adaptability dimensions, family types, and clinical applications . Fam Process . 1979 ; 18 : 3 – 28 . Google Scholar Crossref Search ADS PubMed WorldCat 42 Rodick JD , Henggeler SW, Hanson CL. An evaluation of the Family Adaptability and Cohesion Evaluation Scales and the Circumplex Model . J Abnorm Child Psychol . 1986 ; 14 : 77 – 87 . Google Scholar Crossref Search ADS PubMed WorldCat 43 Vinokur AD , Van Ryn M. Social support and undermining in close relationships: their independent effects on the mental health of unemployed persons . J Pers Soc Psychol . 1993 ; 65 : 350 . Google Scholar Crossref Search ADS PubMed WorldCat 44 Harvey AG . Sleep and circadian rhythms in bipolar disorder: seeking synchrony, harmony, and regulation . Am J Psychiatry . 2008 ; 165 : 820 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 45 Shi J , Wittke‐Thompson JK, Badner JA, et al. Clock genes may influence bipolar disorder susceptibility and dysfunctional circadian rhythm . Am J Med Genet B Neuropsychiatr Genet . 2008 ; 147 : 1047 – 55 . Google Scholar Crossref Search ADS WorldCat 46 Johns MW . A new method for measuring daytime sleepiness: the Epworth sleepiness scale . Sleep . 1991 ; 14 : 540 – 45 . Google Scholar Crossref Search ADS PubMed WorldCat 47 Roenneberg T , Wirz-Justice A, Merrow M. Life between clocks: daily temporal patterns of human chronotypes . J Biol Rhythms . 2003 ; 18 : 80 – 90 . Google Scholar Crossref Search ADS PubMed WorldCat 48 Hamilton M . A rating scale for depression . J Neurol Neurosurg Psychiatr . 1960 ; 23 : 56 – 62 . Google Scholar Crossref Search ADS WorldCat 49 Young RC , Biggs JT, Ziegler VE, Meyer DA. A rating scale for mania: reliability, validity and sensitivity . Br J Psychiatry . 1978 ; 133 : 429 – 35 . Google Scholar Crossref Search ADS PubMed WorldCat 50 Merikangas KR , Akiskal HS, Angst J, et al. Lifetime and 12-month prevalence of bipolar spectrum disorder in the National Comorbidity Survey replication . Arch Gen Psychiatry . 2007 ; 64 : 543 – 52 . Google Scholar Crossref Search ADS PubMed WorldCat 51 Saunders EF , Nazir R, Kamali M, et al. Gender differences, clinical correlates, and longitudinal outcome of bipolar disorder with comorbid migraine . J Clin Psychiatry . 2014 ; 75 : 512 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 52 Jen A , Saunders EF, Ornstein RM, Kamali M, McInnis MG. Impulsivity, anxiety, and alcohol misuse in bipolar disorder comorbid with eating disorders . Int J Bipolar Disord . 2013 ; 1 : 13 . Google Scholar Crossref Search ADS PubMed WorldCat 53 Marshall DF , Walker SJ, Ryan KA, et al. Greater executive and visual memory dysfunction in comorbid bipolar disorder and substance use disorder . Psychiatry Res . 2012 ; 200 : 252 – 7 . Google Scholar Crossref Search ADS PubMed WorldCat 54 Bly MJ , Taylor SF, Dalack G, et al. Metabolic syndrome in bipolar disorder and schizophrenia: dietary and lifestyle factors compared to the general population . Bipolar Disord . 2014 ; 16 : 277 – 88 . Google Scholar Crossref Search ADS PubMed WorldCat 55 Marshall DF , Passarotti AM, Ryan KA, et al. Deficient inhibitory control as an outcome of childhood trauma . Psychiatry Res . 2015 . Google Scholar OpenURL Placeholder Text WorldCat 56 Evans SJ , Ringrose RN, Harrington GJ, Mancuso P, Burant CF, McInnis MG. Dietary intake and plasma metabolomic analysis of polyunsaturated fatty acids in bipolar subjects reveal dysregulation of linoleic acid metabolism . J Psychiatr Res . 2014 ; 57 : 58 – 64 . Google Scholar Crossref Search ADS PubMed WorldCat 57 Evans SJ , Prossin AR, Harrington GJ, et al. Fats and factors: lipid profiles associate with personality factors and suicidal history in bipolar subjects . PLoS One . 2012 ; 7 : e29297 . Google Scholar Crossref Search ADS PubMed WorldCat 58 Evans SJ , Assari S, Harrington GJ, Chang YW, Burant CF, McInnis MG. Plasma linoleic acid partially mediates the association of bipolar disorder on self-reported mental health scales . J Psychiatr Res . 2015 ; 68 : 61 – 7 . Google Scholar Crossref Search ADS PubMed WorldCat 59 Evans SJ , Kamali M, Prossin AR, et al. Association of plasma omega-3 and omega-6 lipids with burden of disease measures in bipolar subjects . J Psychiatr Res . 2012 ; 46 : 1435 – 41 . Google Scholar Crossref Search ADS PubMed WorldCat 60 Evans SJ , Bassis CM, Hein R, et al. The gut microbiome composition associates with bipolar disorder and illness severity . J Psychiatr Res . 2016 ; 87 : 23 – 29 . Google Scholar Crossref Search ADS PubMed WorldCat 61 Flowers SA , Evans SJ, Ward KM, McInnis MG, Ellingrod VL. Interaction between Atypical Antipsychotics and the Gut Microbiome in a Bipolar Disease Cohort . Pharmacotherapy . 2017 ; 37 : 261 – 67 . Google Scholar Crossref Search ADS PubMed WorldCat 62 Saunders EF , Fernandez-Mendoza J, Kamali M, Assari S, McInnis MG. The effect of poor sleep quality on mood outcome differs between men and women: A longitudinal study of bipolar disorder . J Affect Disord . 2015 ; 180 : 90 – 6 . Google Scholar Crossref Search ADS PubMed WorldCat 63 Saunders EFH , Novick DM, Fernandez-Mendoza J, et al. Sleep quality during euthymia in bipolar disorder: the role of clinical features, personality traits, and stressful life events . Int J Bipolar Disord . 2013 ; 1 : 1 – 12 . Google Scholar Crossref Search ADS PubMed WorldCat 64 Ryan KA , Dawson EL, Kassel MT, et al. Shared dimensions of performance and activation dysfunction in cognitive control in females with mood disorders . Brain . 2015 ; 138 : 1424 – 34 . Google Scholar Crossref Search ADS PubMed WorldCat 65 Langenecker SA , Saunders EF, Kade AM, Ransom MT, McInnis MG. Intermediate cognitive phenotypes in bipolar disorder . J Affect Disord . 2010 ; 122 : 285 – 93 . Google Scholar Crossref Search ADS PubMed WorldCat 66 Ryan KA , Vederman AC, McFadden EM, et al. Differential executive functioning performance by phase of bipolar disorder . Bipolar Disord . 2012 ; 14 : 527 – 36 . Google Scholar Crossref Search ADS PubMed WorldCat 67 Ryan KA , Assari S, Pester BD, et al. Similar Trajectory of Executive Functioning Performance over 5 years among individuals with Bipolar Disorder and Unaffected Controls using Latent Growth Modeling . J Affect Disord . 2016 ; 199 : 87 – 94 . Google Scholar Crossref Search ADS PubMed WorldCat 68 Weisenbach SL , Marshall D, Weldon AL, et al. The double burden of age and disease on cognition and quality of life in bipolar disorder . Int J Geriatr Psychiatry . 2014 . Google Scholar OpenURL Placeholder Text WorldCat 69 Park J , Ayduk O, O’Donnell L, et al. Regulating the High: Cognitive and Neural Processes Underlying Positive Emotion Regulation in Bipolar I Disorder . Clin Psychol Sci . 2014 ; 2 : 661 – 74 . Google Scholar Crossref Search ADS PubMed WorldCat 70 Flowers SA , Ryan KA, Lai Z, McInnis MG, Ellingrod VL. Interaction between COMT rs5993883 and second generation antipsychotics is linked to decreases in verbal cognition and cognitive control in bipolar disorder . BMC Psychol . 2016 ; 4 : 14 . Google Scholar Crossref Search ADS PubMed WorldCat 71 Scott LJ , Muglia P, Kong XQ, et al. Genome-wide association and meta-analysis of bipolar disorder in individuals of European ancestry . Proc Natl Acad Sci USA . 2009 ; 106 : 7501 – 6 . Google Scholar Crossref Search ADS PubMed WorldCat 72 Cross-Disorder Group of the Psychiatric Genomics C , Lee SH, Ripke S, et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs . Nat Genet . 2013 ; 45 : 984 – 94 . Google Scholar Crossref Search ADS PubMed WorldCat 73 Nurnberger JI Jr ., McInnis M, Reich W, et al. A high-risk study of bipolar disorder. Childhood clinical phenotypes as precursors of major mood disorders . Arch Gen Psychiatry . 2011 ; 68 : 1012 – 20 . Google Scholar Crossref Search ADS PubMed WorldCat 74 Fullerton JM , Koller DL, Edenberg HJ, et al. Assessment of first and second degree relatives of individuals with bipolar disorder shows increased genetic risk scores in both affected relatives and young At-Risk Individuals . Am J Med Genet B Neuropsychiatr Genet . 2015 ; 168 : 617 – 29 . Google Scholar Crossref Search ADS PubMed WorldCat 75 Monahan PO , Stump T, Coryell WH, et al. Confirmatory test of two factors and four subtypes of bipolar disorder based on lifetime psychiatric co-morbidity . Psychol Med . 2015 : 1 – 16 . Google Scholar OpenURL Placeholder Text WorldCat 76 Chen HM , DeLong CJ, Bame M, et al. Transcripts involved in calcium signaling and telencephalic neuronal fate are altered in induced pluripotent stem cells from bipolar disorder patients . Transl Psychiatry . 2014 ; 4 : e375 . Google Scholar Crossref Search ADS PubMed WorldCat 77 O’Shea KS , McInnis MG. Induced pluripotent stem cell (iPSC) models of bipolar disorder . Neuropsychopharmacology . 2015 ; 40 : 248 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 78 O’Shea KS , McInnis MG. Neurodevelopmental origins of bipolar disorder: iPSC models . Mol Cell Neurosci . 2016 ; 73 : 63 – 83 . Google Scholar Crossref Search ADS PubMed WorldCat 79 Bame M , McInnis MG, O’Shea KS. MicroRNA dysregulation in an induced pluripotent stem cell model of bipolar disorder. Society for Neuroscience Annual Meeting ; San Diego : Society for Neuroscience ; 2016 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 80 DeLong CJ , Bame M, Williams A, et al. Modeling Psychiatric Disease from iPS Cells . Society for Neuroscience Annual Meeting San Diego : Society for Neuroscience ; 2016 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 81 Cochran AL , McInnis MG, Forger DB. Data-driven classification of bipolar I disorder from longitudinal course of mood . Transl Psychiatry . 2016 ; 6 : e912 . Google Scholar Crossref Search ADS PubMed WorldCat 82 Gideon J , Provost EM, McInnis M. Mood State Prediction from Speech of Varying Acoustic Quality for Individuals with Bipolar Disorder . Proc IEEE Int Conf Acoust Speech Signal Process . 2016 ; 2016 : 2359 – 63 . Google Scholar PubMed OpenURL Placeholder Text WorldCat 83 Tsuchiya KJ , Agerbo E, Byrne M, Mortensen PB. Higher socio-economic status of parents may increase risk for bipolar disorder in the offspring . Psychol Med . 2004 ; 34 : 787 – 93 . Google Scholar Crossref Search ADS PubMed WorldCat 84 Eid L , Heim K, Doucette S, McCloskey S, Duffy A, Grof P. Bipolar disorder and socioeconomic status: what is the nature of this relationship? Int J Bipolar Disord 2013 ; 1 : 1 . Google Scholar Crossref Search ADS PubMed WorldCat 85 Perlis RH , Ostacher MJ, Patel JK, et al. Predictors of recurrence in bipolar disorder: primary outcomes from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) . Am J Psychiatry . 2006 ; 163 : 217 – 24 . Google Scholar Crossref Search ADS PubMed WorldCat 86 Nierenberg AA , Friedman ES, Bowden CL, et al. Lithium Treatment Moderate-Dose Use Study (LiTMUS) for Bipolar Disorder: A Randomized Comparative Effectiveness Trial of Optimized Personalized Treatment With and Without Lithium . Am J Psychiatry . 2013 ; 170 : 102 – 10 . Google Scholar Crossref Search ADS PubMed WorldCat 87 Post RM , Leverich GS, Altshuler LL, et al. An overview of recent findings of the Stanley Foundation Bipolar Network (Part I) . Bipolar Disord . 2003 ; 5 : 310 – 19 . Google Scholar Crossref Search ADS PubMed WorldCat 88 Olson DH , Portner J, Bell R. FACES II: Family Adaptability and Cohesion Evaluations Scales . Unpublished manuscript, Family Social Science, University of Minnesota . 1983 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 89 Altshuler L , Mintz J, Leight K. The Life Functioning Questionnaire (LFQ): a brief, gender-neutral scale assessing functional outcome . Psychiatry Res . 2002 ; 112 : 161 – 82 . Google Scholar Crossref Search ADS PubMed WorldCat 90 Horvath AO , Greenberg LS. Development and validation of the Working Alliance Inventory . Journal of counseling psychology . 1989 ; 36 : 223 . Google Scholar Crossref Search ADS WorldCat 91 Wechsler D . Wechsler abbreviated scale of intelligence , Psychological Corporation , 1999 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 92 Delis DC , Freeland J, Kramer JH, Kaplan E. Integrating clinical assessment with cognitive neuroscience: construct validation of the California Verbal Learning Test . J Consult Clin Psychol . 1988 ; 56 : 123 . Google Scholar Crossref Search ADS PubMed WorldCat 93 Rey A . L’examen psychologique dans les cas d’encéphalopathie traumatique.(Les problems.) . Archives de psychologie . 1941 . Google Scholar OpenURL Placeholder Text WorldCat 94 Osterrieth PA . Le test de copie d’une figure complexe; contribution à l’étude de la perception et de la mémoire . Archives de psychologie . 1944 . Google Scholar OpenURL Placeholder Text WorldCat 95 Levin HS , Hamsher KS, Benton AL. A short form of the Test of Facial Recognition for clinical use . The Journal of Psychology . 1975 ; 91 : 223 – 28 . Google Scholar Crossref Search ADS WorldCat 96 Green PW , Allen LM. The Emotion Perception Test . Durham, NC , CogniSyst Inc , 1997 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 97 Tiffin J , Asher EJ. The Purdue Pegboard: norms and studies of reliability and validity . Journal of applied psychology . 1948 ; 32 : 234 . Google Scholar Crossref Search ADS PubMed WorldCat 98 White MJ . Response selection and visual search . Bulletin of the Psychonomic Society . 1981 . Google Scholar OpenURL Placeholder Text WorldCat 99 Stroop JR . Studies of interference in serial verbal reactions . Journal of Experimental Psychology . 1935 ; 18 : 643 . Google Scholar Crossref Search ADS WorldCat 100 Reiten RM . The relation of trail making test to organic brain damage . J Consult Psychol . 1955 ; 10 : 76 – 88 . Google Scholar OpenURL Placeholder Text WorldCat 101 Berg EA . A simple objective technique for measuring flexibility in thinking . The Journal of general psychology . 1948 ; 39 : 15 – 22 . Google Scholar Crossref Search ADS PubMed WorldCat 102 K . Warrington Pat McKenna Lisa Orpwood E. Single word comprehension: a concrete and abstract word synonym test . Neuropsychological Rehabilitation . 1998 ; 8 : 143 – 54 . Google Scholar Crossref Search ADS WorldCat 103 Rees LM , Tombaugh TN, Boulay L. Depression and the Test of Memory Malingering . Arch Clin Neuropsychol . 2001 ; 16 : 501 – 6 . Google Scholar Crossref Search ADS PubMed WorldCat © The Author 2017. Published by Oxford University Press on behalf of the International Epidemiological Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. 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Oxford University Press
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Copyright © 2022 International Epidemiological Association
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0300-5771
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1464-3685
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10.1093/ije/dyx229
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Abstract

Why was the cohort set up? The Heinz C. Prechter Longitudinal Study of Bipolar Disorder (PrBP), launched in 2005, is an open cohort study at the University of Michigan, Ann Arbor, USA. The study is specifically designed to identify and characterize the mechanisms underlying bipolar disorder (BP) and to develop methods to predict clinical outcomes of the disorder. The aims of the study are listed in Box 1 Information about the Heinz C. Prechter Longitudinal Study of Bipolar Disorder Aims To identify and characterize the mechanisms underlying bipolar disorder and to develop methods to predict clinical outcomes of the disorder To compare the natural history of bipolar disorder over multiple phenotypic classes compared with healthy controls and other mood disorders To determine social, psychological, medical, biological, and genetic determinants of course of bipolar disorder To train and validate prediction models that can enhance clinical practice To provide an infrastructure for additional basic and translational research Inclusion criteria: Cases: diagnosis of treated BP Controls: no personal or family psychiatric history English speaking Age 18 or older Exclusion criteria: Mental retardation Active substance dependence Head injury Medical illness causing BP Data access: Data are available on request, from the Heinz C. Prechter Bipolar Research Program website [http://www.prechterfund.org/about/contact/] Dissemination of information and results: Research projects (opportunities for participation in new studies) are listed at [http://www.prechterfund.org/bipolar-research/projects/] Publications are listed (with links) and updated monthly at [http://www.prechterfund.org/bipolar-research/publications/]Box 1. Bipolar disorders are a chronic, heterogeneous and complex spectrum of conditions that typically are first identified in late adolescence and consist of pathological mood swings that include varying intensities of mania and depression.1 A comprehensive description of the phenotype should include characterization of the longitudinal course of the disease, such as onset, symptom severity patterns, cognitive functioning and comorbidities. Outcomes include impaired social, vocational and personal functioning that often results in disability. Suicide and suicidal behaviours are common in BP and 4% of individuals with BP attempt suicide annually;2 individuals with BP die by suicide at a 15-fold greater rate than that of the general population.3 There is no established aetiology of BP. Ongoing and future studies in this cohort target mechanisms related to aetiology of this illness. High heritability has been observed for the past century,4 and an overlapping risk is observed with other mood disorders.5,6 The search for BP susceptibility genes has identified approximately 12 genetic loci,7 each with an odds ratio (OR) for the risk allele in the range of 1.1–1.5, suggesting the contribution of many genes each with small effects. There is evidence at the epigenetic8 and interpersonal9 levels for the interactive influence of genes and environment in the manifestation of BP. The causal and modifying elements are numerous and therefore require a pluralistic approach to studying causality in BP (like many human diseases) (Figure 1). The origins of causal pluralism approaches in psychiatry began with Adolf Meyer10 who viewed each person as an individual experiment of nature. Acknowledging Meyer’s influence, the Perspectives of Psychiatry11 identifies four perspectives through which one may approach psychiatric disorders. The pluralistic approach provides the opportunity to integrate diverse information12 free from dichotomous constraints and also offers a pragmatic approach to causality13 and an open mind to discovery. Nevertheless, a framework is needed to organize classes of phenotypes within the broad domain of human disease in order to test effects of a proposed class on the clinical manifestation of the disease. Figure 1 Open in new tabDownload slide Seven Phenotypic classes of the Observed Phenotype. The manifestation of human disease is the result of multiple etiological elements from the individual, the environment and the interaction between the two. Causality is pluralistic with contributions from several phenotypic classes that vary over time. Seven phenotypic classes (Figure 1) are the focus of this study and include the four perspectives of McHugh and Slavney.11 The rationale for evaluation of a broad range of phenotypes is the need for a comprehensive assessment of the BP patient in the most efficient manner possible. All have been the focus of academic enquiry in BP and integrated into textbook discussions,1 but are rarely studied using the comprehensive approach of the current study. The ‘Disease’ class is considered to be the driving biological mechanism. ‘Motivated behaviours’ describes a class of phenotypes that drive what the individual does; behaviours behind substance use have the capacity to cause or modify phenotypic expression. ‘Dimensions of temperament or personality’ compose a class of characteristics that interact with and frequently dominate clinical manifestations and are vital to the study of aetiology and causality. The class of ‘Life experiences’ includes social and environmental influences spanning a range of human experiences which impact the individual with the capacity to significantly modulate disease manifestation. The class of ‘Neurocognitive functions’ measures memory, executive functioning and other cognitive features to relate functioning to disease expression. ‘Circadian and sleep’ patterns are a phenotypic class that influences the nature and course of the illness. Finally, the ‘Clinical outcome’ patterns vary among people with BP and define classes of patients according to treatment response or functional capacity. This phenotypic class-based approach predated the Research Domain Criteria (RDoC) project of the National Institutes of Mental Health (NIMH),14 a project that advocates a quantitative approach to clinical and biological phenomena rather than diagnostic categories. Both use dimensional measures of phenomenology, biology and outcomes. The phenotypic class-based approach described herein has the advantage that most measures were selected to have direct clinical utility, and use practical dimensional data easily integrated with research. Who is in the cohort? The PrBP consists of an open cohort of individuals ascertained non-systematically to have BP, and healthy controls who agree to be followed longitudinally. Our goal is to study participants over their lifetime; at this time, the institutional review board (IRB) allows only 10-year renewal time periods. The participants are generally from south-east Michigan. The primary clinical source of participants was from admissions to the University of Michigan (UM) Health System psychiatric outpatient and inpatient clinical services. Inclusion criteria for BP I are based on DSM IV15 criteria and on initial screening by telephone. Participants are required to have a history of treatment for a manic episode, whereas BP II individuals are required to have recurrent depression in addition to hypomania. All diagnoses are confirmed by a best-estimate diagnostic process with a review of all available research as well as clinical and medical data. The BP diagnostic group was allowed to have additional psychiatric comorbidities. All affective diagnoses are included and entered into the study as the participant qualified in pre-screening; this includes BP Not Otherwise Specified (NOS), Schizoaffective BP type, Major Depressive Disorder (MDD) and recurrent and other affective disorders (e.g. BP II single episode, MDD single episode, Schizoaffective Depressive type, Depression NOS and Dysthymia). Only one affective diagnosis is assigned to each participant. Non-affective disorders (e.g. substance use disorders, anxiety disorders, eating disorders and attention-deficit/hyperactivity disorder) were assigned when diagnosed, and were comorbid with the affective diagnosis. Controls were required to have no personal history of any psychiatric condition as well as a negative family history for psychiatric disorder. Control individuals who developed a psychiatric condition subsequent to ascertainment were continued in the study, caveated with their diagnostic category (e.g. major depression). It is recognized that the PrBP cohort is biased towards classic bipolar individuals from the community who are willing to commit to long-term follow-up. The inclusion and exclusion criteria are outlined in Box 1. The sample currently includes 1111 participants: 731 individuals with any type of BP diagnosis, 23 with MDD, 34 with other mood disorders, 46 with non-mood/non-affective psychiatric illness and 277 healthy controls. Of those 731 with BP, 498 have BP I, 136 have BP II, 73 have BP NOS and 24 were diagnosed with schizoaffective disorder, bipolar type. The retention rate is 75% since the inception of the study. There are two main reasons behind not limiting the sample to the individuals with BP and controls. First, individuals in the cohort may move in and out of a diagnosis over the 10-year follow-up period (e.g. controls developing a psychiatric condition subsequent to ascertainment). If an individual’s diagnosis changes, we do not exclude—instead, we follow the individual with their new diagnosis (e.g. depression). Second, the National Institute of Mental Health’s RDoC discourages conducting studies within narrowly defined and categorically-based DSM/ICD diagnoses. Instead, RDoC encourages modelling of trajectories that cut across categorical diagnoses and in a wide range of study domains. In this manner, this study’s methods may prove exemplary as the psychiatric research community integrates the DSM/ICD to a RDoC dimensional-oriented approach.16 Every effort is made to followup these individuals, and every 2 years the National Death Index (NDI)17 is searched for information on individuals who have not been in contact nor responded to enquiries for 2 years. The demographic, socioeconomic and clinical characteristics of the sample are included in Table 1. Most participants were White (79%) and female (66%), with a mean age of 38.6 years at study entry. Average age of onset of illness (age of first depression or first mania) among individuals with BP was 17.3, with an average number of 7.2 mania episodes. Participants with BP had a high frequency of comorbid psychiatric conditions. Table 2 presents descriptive measures of depression, mania and health-related quality of life (HRQoL) at baseline (study entry). Symptoms of depression and mania were higher and HRQoL scores were worse for individuals with BP compared with controls (Table 2). Table 1 Descriptive statistics of the Prechter cohort at entry into the study . Total cohort . Any mood disorder . All bipolar (BP) . BP I disorder . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non- affective only . Controls (no diagnosis) . n . 1111 . 788 . 731 . 498 . 136 . 73 . 24 . 23 . 34 . 46 . 277 . Demographics  Age at enrolment, mean (STD) 38.64 (14.25) 39.83 (13.60) 39.63 (13.49) 40.03 (13.30) 41.28 (14.59) 37.90 (13.73) 38.08 (12.68) 43.17 (12.72) 40.71 (15.43) 41.24 (14.29) 35.46 (15.45)  Women 729 536 481 316 100 51 14 12 24 19 174 (66%) (68%) (66%) (63%) (74%) (69%) (58%) (52%) (65%) (41%) (62%) Socioeconomics  Education, Mean (STD) 15.53 (2.47) 15.41 (2.51) 15.49 (2.52) 15.37 (2.70) 15.81 (2.19) 14.89 (2.58) 14.58 14.48 (2.69) 14.73 (2.50) 15.39 (2.28) 15.91(2.43) (2.41)  Unemployed 193 146 131 84 21 21 5 7 8 12 35 (17%) (19%) (18%) (17%) (15%) (28%) (21%) (33%) (22%) 5(26%) (13%) Marital statusa  Married 356 261 246 177 52 12 5 6 9 13 82 (32%) (33%) (34%) (36%) (38%) (16%) (21%) (26%) (26%) (28%) (30%)  Separated 30 25 23 15 5 3 0 2 0 1 4 (3%) (3%) (3%) (3%) (4%) (4%) (0%) (9%) (0%) (2%) (1%)  Divorced 185 152 136 89 25 17 5 4 12 8 25 (17%) (19%) (19%) (18%) (18%) (23%) (21%) (17%) (35%) (17%) (9%)  Widowed 16 10 10 5 3 2 0 0 0 0 6 (1%) (1%) (1%) (1%) (2%) (3%) (0%) (0%) (0%) (0%) (2%)  Never married 523 339 315 211 51 39 14 11 13 24 160 (47%) (43%) (43%) (42%) (38%) (53%) (58%) (48%) (38%) (52%) (58%) Raceb  White 894 662 620 424 117 61 18 17 25 31 201 (80%) (84%) (85%) (85%) (86%) (84%) (75%) (74%) (74%) (67%) (73%)  Black or African- American 103 64 53 35 8 6 4 3 8 3 36 (9%) (8%) (7%) (7%) (6%) (8%) (17%) (13%) (24%) (7%) (13%)  Asian 39 9 8 6 1 1 0 0 1 6 24 (4%) (1%) (1%) (1%) (1%) (1%) (0%) (0%) (3%) (13%) (9%)  Native Hawaiian or other Pacific Islander 1 0 0 0 0 0 0 0 0 0 1 (0.1%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0.4%)  American Indian/Alaskan native 4 1 1 1 0 0 0 0 0 1 2 (0.4%) (0.1%) (0.1%) (0.2%) (0%) (0%) (0%) (0%) (0%) (2%) (1%)  More than one race 47 33 30 19 5 5 1 3 0 4 10 (4%) (4%) (4%) (4%) (4%) (7%) (4%) (13%) (0%) (9%) (4%)  Unknown 12 10 10 6 4 0 0 0 0 1 1 (1%) (1%) (1%) (1%) (3%) (0%) (0%) (0%) (0%) (2%) (0.4%) Baseline clinical factorsc  Age at onset, mean (STD) 11.88 (10.62) 16.04 (9.24) 17.27 (7.87) 17.51 (8.12) 15.90 (6.66) 16.61 (6.34) 19.13 (9.29) 21.00 (10.29) 5.94 (14.05) 3.69 (10.38) 0(0)  Number of mania episodes, mean (STD) 4.52 (15.71) 6.37 (18.34) 7.20 (19.33) 9.50 (19.38) 0 1.26 (7.48) 15.38 (49.33) 0 1.79 (10.46) 0 0 (0) (0) (0) (0)  Number of depression episodes, mean (STD) 14.72 (35.93) 21.34 (41.60) 23.89 (43.27) 22.96 (43.75) 31.16 (46.20) 16.85 (26.41) 12.90 (22.90) 20.22 (53.08) 3.93 (11.60) 0.11 0 (0.53) (0)  Number of hypomania episodes, mean (STD) 15.83 (47.24) 23.61 (56.08) 27.04 (59.28) 25.26 (59.45) 32.29 (58.80) 21.93 (48.03) 49.84 (82.34) 0 0.52 (2.69) 0 0 (0) (0) (0)  Heart disease 24 22 20 13 5 1 1 1 1 0 2 (2%) (3%) (3%) (3%) (4%) (1%) (4%) (4%) (4%) (0%) (1%)  Migraine 293 261 253 161 60 24 8 2 6 2 30 (26%) (33%) (35%) (32%) (44%) (33%) (33%) (9%) (25%) (4%) (11%) . Total cohort . Any mood disorder . All bipolar (BP) . BP I disorder . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non- affective only . Controls (no diagnosis) . n . 1111 . 788 . 731 . 498 . 136 . 73 . 24 . 23 . 34 . 46 . 277 . Demographics  Age at enrolment, mean (STD) 38.64 (14.25) 39.83 (13.60) 39.63 (13.49) 40.03 (13.30) 41.28 (14.59) 37.90 (13.73) 38.08 (12.68) 43.17 (12.72) 40.71 (15.43) 41.24 (14.29) 35.46 (15.45)  Women 729 536 481 316 100 51 14 12 24 19 174 (66%) (68%) (66%) (63%) (74%) (69%) (58%) (52%) (65%) (41%) (62%) Socioeconomics  Education, Mean (STD) 15.53 (2.47) 15.41 (2.51) 15.49 (2.52) 15.37 (2.70) 15.81 (2.19) 14.89 (2.58) 14.58 14.48 (2.69) 14.73 (2.50) 15.39 (2.28) 15.91(2.43) (2.41)  Unemployed 193 146 131 84 21 21 5 7 8 12 35 (17%) (19%) (18%) (17%) (15%) (28%) (21%) (33%) (22%) 5(26%) (13%) Marital statusa  Married 356 261 246 177 52 12 5 6 9 13 82 (32%) (33%) (34%) (36%) (38%) (16%) (21%) (26%) (26%) (28%) (30%)  Separated 30 25 23 15 5 3 0 2 0 1 4 (3%) (3%) (3%) (3%) (4%) (4%) (0%) (9%) (0%) (2%) (1%)  Divorced 185 152 136 89 25 17 5 4 12 8 25 (17%) (19%) (19%) (18%) (18%) (23%) (21%) (17%) (35%) (17%) (9%)  Widowed 16 10 10 5 3 2 0 0 0 0 6 (1%) (1%) (1%) (1%) (2%) (3%) (0%) (0%) (0%) (0%) (2%)  Never married 523 339 315 211 51 39 14 11 13 24 160 (47%) (43%) (43%) (42%) (38%) (53%) (58%) (48%) (38%) (52%) (58%) Raceb  White 894 662 620 424 117 61 18 17 25 31 201 (80%) (84%) (85%) (85%) (86%) (84%) (75%) (74%) (74%) (67%) (73%)  Black or African- American 103 64 53 35 8 6 4 3 8 3 36 (9%) (8%) (7%) (7%) (6%) (8%) (17%) (13%) (24%) (7%) (13%)  Asian 39 9 8 6 1 1 0 0 1 6 24 (4%) (1%) (1%) (1%) (1%) (1%) (0%) (0%) (3%) (13%) (9%)  Native Hawaiian or other Pacific Islander 1 0 0 0 0 0 0 0 0 0 1 (0.1%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0.4%)  American Indian/Alaskan native 4 1 1 1 0 0 0 0 0 1 2 (0.4%) (0.1%) (0.1%) (0.2%) (0%) (0%) (0%) (0%) (0%) (2%) (1%)  More than one race 47 33 30 19 5 5 1 3 0 4 10 (4%) (4%) (4%) (4%) (4%) (7%) (4%) (13%) (0%) (9%) (4%)  Unknown 12 10 10 6 4 0 0 0 0 1 1 (1%) (1%) (1%) (1%) (3%) (0%) (0%) (0%) (0%) (2%) (0.4%) Baseline clinical factorsc  Age at onset, mean (STD) 11.88 (10.62) 16.04 (9.24) 17.27 (7.87) 17.51 (8.12) 15.90 (6.66) 16.61 (6.34) 19.13 (9.29) 21.00 (10.29) 5.94 (14.05) 3.69 (10.38) 0(0)  Number of mania episodes, mean (STD) 4.52 (15.71) 6.37 (18.34) 7.20 (19.33) 9.50 (19.38) 0 1.26 (7.48) 15.38 (49.33) 0 1.79 (10.46) 0 0 (0) (0) (0) (0)  Number of depression episodes, mean (STD) 14.72 (35.93) 21.34 (41.60) 23.89 (43.27) 22.96 (43.75) 31.16 (46.20) 16.85 (26.41) 12.90 (22.90) 20.22 (53.08) 3.93 (11.60) 0.11 0 (0.53) (0)  Number of hypomania episodes, mean (STD) 15.83 (47.24) 23.61 (56.08) 27.04 (59.28) 25.26 (59.45) 32.29 (58.80) 21.93 (48.03) 49.84 (82.34) 0 0.52 (2.69) 0 0 (0) (0) (0)  Heart disease 24 22 20 13 5 1 1 1 1 0 2 (2%) (3%) (3%) (3%) (4%) (1%) (4%) (4%) (4%) (0%) (1%)  Migraine 293 261 253 161 60 24 8 2 6 2 30 (26%) (33%) (35%) (32%) (44%) (33%) (33%) (9%) (25%) (4%) (11%) Bipolar (BP) participants were diagnosed according to the DSM IV criteria. BP NOS, BP not otherwise specified; SAD-BP, schizoaffective bipolar type; MDD, major depressive disorder. aOne missing data point among BP1. bMissing data for seven BP1, one BP II, one SAD-BP and two controls. cAssessment for post-traumatic stress disorder began in 2010 after half of the sample was ascertained. Open in new tab Table 1 Descriptive statistics of the Prechter cohort at entry into the study . Total cohort . Any mood disorder . All bipolar (BP) . BP I disorder . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non- affective only . Controls (no diagnosis) . n . 1111 . 788 . 731 . 498 . 136 . 73 . 24 . 23 . 34 . 46 . 277 . Demographics  Age at enrolment, mean (STD) 38.64 (14.25) 39.83 (13.60) 39.63 (13.49) 40.03 (13.30) 41.28 (14.59) 37.90 (13.73) 38.08 (12.68) 43.17 (12.72) 40.71 (15.43) 41.24 (14.29) 35.46 (15.45)  Women 729 536 481 316 100 51 14 12 24 19 174 (66%) (68%) (66%) (63%) (74%) (69%) (58%) (52%) (65%) (41%) (62%) Socioeconomics  Education, Mean (STD) 15.53 (2.47) 15.41 (2.51) 15.49 (2.52) 15.37 (2.70) 15.81 (2.19) 14.89 (2.58) 14.58 14.48 (2.69) 14.73 (2.50) 15.39 (2.28) 15.91(2.43) (2.41)  Unemployed 193 146 131 84 21 21 5 7 8 12 35 (17%) (19%) (18%) (17%) (15%) (28%) (21%) (33%) (22%) 5(26%) (13%) Marital statusa  Married 356 261 246 177 52 12 5 6 9 13 82 (32%) (33%) (34%) (36%) (38%) (16%) (21%) (26%) (26%) (28%) (30%)  Separated 30 25 23 15 5 3 0 2 0 1 4 (3%) (3%) (3%) (3%) (4%) (4%) (0%) (9%) (0%) (2%) (1%)  Divorced 185 152 136 89 25 17 5 4 12 8 25 (17%) (19%) (19%) (18%) (18%) (23%) (21%) (17%) (35%) (17%) (9%)  Widowed 16 10 10 5 3 2 0 0 0 0 6 (1%) (1%) (1%) (1%) (2%) (3%) (0%) (0%) (0%) (0%) (2%)  Never married 523 339 315 211 51 39 14 11 13 24 160 (47%) (43%) (43%) (42%) (38%) (53%) (58%) (48%) (38%) (52%) (58%) Raceb  White 894 662 620 424 117 61 18 17 25 31 201 (80%) (84%) (85%) (85%) (86%) (84%) (75%) (74%) (74%) (67%) (73%)  Black or African- American 103 64 53 35 8 6 4 3 8 3 36 (9%) (8%) (7%) (7%) (6%) (8%) (17%) (13%) (24%) (7%) (13%)  Asian 39 9 8 6 1 1 0 0 1 6 24 (4%) (1%) (1%) (1%) (1%) (1%) (0%) (0%) (3%) (13%) (9%)  Native Hawaiian or other Pacific Islander 1 0 0 0 0 0 0 0 0 0 1 (0.1%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0.4%)  American Indian/Alaskan native 4 1 1 1 0 0 0 0 0 1 2 (0.4%) (0.1%) (0.1%) (0.2%) (0%) (0%) (0%) (0%) (0%) (2%) (1%)  More than one race 47 33 30 19 5 5 1 3 0 4 10 (4%) (4%) (4%) (4%) (4%) (7%) (4%) (13%) (0%) (9%) (4%)  Unknown 12 10 10 6 4 0 0 0 0 1 1 (1%) (1%) (1%) (1%) (3%) (0%) (0%) (0%) (0%) (2%) (0.4%) Baseline clinical factorsc  Age at onset, mean (STD) 11.88 (10.62) 16.04 (9.24) 17.27 (7.87) 17.51 (8.12) 15.90 (6.66) 16.61 (6.34) 19.13 (9.29) 21.00 (10.29) 5.94 (14.05) 3.69 (10.38) 0(0)  Number of mania episodes, mean (STD) 4.52 (15.71) 6.37 (18.34) 7.20 (19.33) 9.50 (19.38) 0 1.26 (7.48) 15.38 (49.33) 0 1.79 (10.46) 0 0 (0) (0) (0) (0)  Number of depression episodes, mean (STD) 14.72 (35.93) 21.34 (41.60) 23.89 (43.27) 22.96 (43.75) 31.16 (46.20) 16.85 (26.41) 12.90 (22.90) 20.22 (53.08) 3.93 (11.60) 0.11 0 (0.53) (0)  Number of hypomania episodes, mean (STD) 15.83 (47.24) 23.61 (56.08) 27.04 (59.28) 25.26 (59.45) 32.29 (58.80) 21.93 (48.03) 49.84 (82.34) 0 0.52 (2.69) 0 0 (0) (0) (0)  Heart disease 24 22 20 13 5 1 1 1 1 0 2 (2%) (3%) (3%) (3%) (4%) (1%) (4%) (4%) (4%) (0%) (1%)  Migraine 293 261 253 161 60 24 8 2 6 2 30 (26%) (33%) (35%) (32%) (44%) (33%) (33%) (9%) (25%) (4%) (11%) . Total cohort . Any mood disorder . All bipolar (BP) . BP I disorder . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non- affective only . Controls (no diagnosis) . n . 1111 . 788 . 731 . 498 . 136 . 73 . 24 . 23 . 34 . 46 . 277 . Demographics  Age at enrolment, mean (STD) 38.64 (14.25) 39.83 (13.60) 39.63 (13.49) 40.03 (13.30) 41.28 (14.59) 37.90 (13.73) 38.08 (12.68) 43.17 (12.72) 40.71 (15.43) 41.24 (14.29) 35.46 (15.45)  Women 729 536 481 316 100 51 14 12 24 19 174 (66%) (68%) (66%) (63%) (74%) (69%) (58%) (52%) (65%) (41%) (62%) Socioeconomics  Education, Mean (STD) 15.53 (2.47) 15.41 (2.51) 15.49 (2.52) 15.37 (2.70) 15.81 (2.19) 14.89 (2.58) 14.58 14.48 (2.69) 14.73 (2.50) 15.39 (2.28) 15.91(2.43) (2.41)  Unemployed 193 146 131 84 21 21 5 7 8 12 35 (17%) (19%) (18%) (17%) (15%) (28%) (21%) (33%) (22%) 5(26%) (13%) Marital statusa  Married 356 261 246 177 52 12 5 6 9 13 82 (32%) (33%) (34%) (36%) (38%) (16%) (21%) (26%) (26%) (28%) (30%)  Separated 30 25 23 15 5 3 0 2 0 1 4 (3%) (3%) (3%) (3%) (4%) (4%) (0%) (9%) (0%) (2%) (1%)  Divorced 185 152 136 89 25 17 5 4 12 8 25 (17%) (19%) (19%) (18%) (18%) (23%) (21%) (17%) (35%) (17%) (9%)  Widowed 16 10 10 5 3 2 0 0 0 0 6 (1%) (1%) (1%) (1%) (2%) (3%) (0%) (0%) (0%) (0%) (2%)  Never married 523 339 315 211 51 39 14 11 13 24 160 (47%) (43%) (43%) (42%) (38%) (53%) (58%) (48%) (38%) (52%) (58%) Raceb  White 894 662 620 424 117 61 18 17 25 31 201 (80%) (84%) (85%) (85%) (86%) (84%) (75%) (74%) (74%) (67%) (73%)  Black or African- American 103 64 53 35 8 6 4 3 8 3 36 (9%) (8%) (7%) (7%) (6%) (8%) (17%) (13%) (24%) (7%) (13%)  Asian 39 9 8 6 1 1 0 0 1 6 24 (4%) (1%) (1%) (1%) (1%) (1%) (0%) (0%) (3%) (13%) (9%)  Native Hawaiian or other Pacific Islander 1 0 0 0 0 0 0 0 0 0 1 (0.1%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0%) (0.4%)  American Indian/Alaskan native 4 1 1 1 0 0 0 0 0 1 2 (0.4%) (0.1%) (0.1%) (0.2%) (0%) (0%) (0%) (0%) (0%) (2%) (1%)  More than one race 47 33 30 19 5 5 1 3 0 4 10 (4%) (4%) (4%) (4%) (4%) (7%) (4%) (13%) (0%) (9%) (4%)  Unknown 12 10 10 6 4 0 0 0 0 1 1 (1%) (1%) (1%) (1%) (3%) (0%) (0%) (0%) (0%) (2%) (0.4%) Baseline clinical factorsc  Age at onset, mean (STD) 11.88 (10.62) 16.04 (9.24) 17.27 (7.87) 17.51 (8.12) 15.90 (6.66) 16.61 (6.34) 19.13 (9.29) 21.00 (10.29) 5.94 (14.05) 3.69 (10.38) 0(0)  Number of mania episodes, mean (STD) 4.52 (15.71) 6.37 (18.34) 7.20 (19.33) 9.50 (19.38) 0 1.26 (7.48) 15.38 (49.33) 0 1.79 (10.46) 0 0 (0) (0) (0) (0)  Number of depression episodes, mean (STD) 14.72 (35.93) 21.34 (41.60) 23.89 (43.27) 22.96 (43.75) 31.16 (46.20) 16.85 (26.41) 12.90 (22.90) 20.22 (53.08) 3.93 (11.60) 0.11 0 (0.53) (0)  Number of hypomania episodes, mean (STD) 15.83 (47.24) 23.61 (56.08) 27.04 (59.28) 25.26 (59.45) 32.29 (58.80) 21.93 (48.03) 49.84 (82.34) 0 0.52 (2.69) 0 0 (0) (0) (0)  Heart disease 24 22 20 13 5 1 1 1 1 0 2 (2%) (3%) (3%) (3%) (4%) (1%) (4%) (4%) (4%) (0%) (1%)  Migraine 293 261 253 161 60 24 8 2 6 2 30 (26%) (33%) (35%) (32%) (44%) (33%) (33%) (9%) (25%) (4%) (11%) Bipolar (BP) participants were diagnosed according to the DSM IV criteria. BP NOS, BP not otherwise specified; SAD-BP, schizoaffective bipolar type; MDD, major depressive disorder. aOne missing data point among BP1. bMissing data for seven BP1, one BP II, one SAD-BP and two controls. cAssessment for post-traumatic stress disorder began in 2010 after half of the sample was ascertained. Open in new tab Table 2 Baseline symptoms and survey results based on condition; all values are mean (standard deviation) . All . All mood . BP . BP1 . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non-affective only . Controls . Mood symptoms  Depression (PHQ 9) 9.02 6.86 9.65 8.93 10.96 11.66 11.33 9.00 4.69 2.11 1.39 (6.86) (6.83) (6.73) (6.72) (6.30) (6.52) (7.87) (8.12) (5.74) (2.82) (2.22)  Depression (HAM-D) 10.37 13.48 14.49 13.73 16.52 15.20 16.25 13.06 5.30 2.85 1.19 (11.38) (11.56) (11.57) (11.53) (11.40) (11.68) (12.15) (11.53) (6.23) (4.55) (2.15)  Mania (ASRM) 4.03 3.69 4.11 3.87 4.49 4.96 4.47 3.41 4.42 2.97 2.89 (3.68) (3.71) (3.69) (3.63) (3.53) (4.04) (4.40) (3.48) (4.12) (3.84) (3.48)  Mania (YMRS) 2.53 3.30 3.58 3.31 3.84 3.99 6.72 1.94 0.71 1.00 0.16 (4.35) (4.75) (4.86) (4.81) (4.66) (4.80) (6.25) (3.17) (1.52) (3.56) (0.81) Function and quality of life  HRQoL(SF-36; PCS) 49.88 (9.36) 48.27 48.22 48.35 (10.22) 47.83 (10.54) 48.03 (10.82) 48.49 (11.63) 45.25 (12.55) 51.00 (7.77) 50.38 (9.24) 53.59 (4.94) (10.31) (10.35)  HRQoL(SF-36; MCS) 41.63 (8.85) 38.59 38.21 38.98 (8.95) 37.65 (8.32) 35.28 (8.64) 32.76 (7.14) 39.5 (11.73) 46.28 (5.28) 47.72 (4.62) 47.77 (4.36) (8.94) (8.84)  Function(LFQ) 213 21.90 22.27 21.37 22.78 24.24 28.00 21.17 20.33 17.24 15.31 (7.99) (8.31) (8.39) (8.52) (7.58) (7.83) (9.92) (8.03) (9.71) (5.06) (4.28)  Medical conditions (count) 2.95 3.52 3.58 3.53 3.73 3.41 4.33 2.96 2.53 1.78 1.52 (2.44) (2.49) (2.49) (2.51) (2.35) (2.26) (3.28) (2.36) (2.42) (1.92) (1.58) Personality  Neuroticism 56.96 62.83 63.54 62.27 66.14 70.63 65.33 61.81 49.57 47.90 43.52 (15.63) (14.08) (13.86) (13.85) (14.13) (13.92) (12.08) (11.65) (13.42) (10.98) (10.03)  Extraversion 49.26 48.27 48.06 48.90 44.89 43.63 49.58 49.56 51.71 51.05 51.50 (11.59) (12.33) (12.36) (12.44) (12.29) (15.31) (9.78) (15.14) (9.43) (12.25) (8.91)  Openness 56.92 57.99 58.22 58.69 57.43 60.69 55.78 53.25 56.07 53.44 54.80 (11.91) (12.29) (12.40) (12.56) (12.27) (10.68) (11.91) (10.01) (10.69) (8.36) (11.05)  Agreeableness 49.66 49.29 49.16 50 47.31 53.19 45.78 49.5 51.57 47 51.06 (12.26) (12.82) (12.94) (12.49) (14.01) (13.19) (13.09) (11.82) (11.02) (10.72) (10.87)  Conscientiousness 46.04 44.17 43.75 43.13 47.09 43.88 41.69 47.44 50.54 49.31 50.24 (13.16) (13.75) (13.60) (13.62) (13.83) (13.53) (12.29) (12.66) (15.73) (11.33) (10.64) . All . All mood . BP . BP1 . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non-affective only . Controls . Mood symptoms  Depression (PHQ 9) 9.02 6.86 9.65 8.93 10.96 11.66 11.33 9.00 4.69 2.11 1.39 (6.86) (6.83) (6.73) (6.72) (6.30) (6.52) (7.87) (8.12) (5.74) (2.82) (2.22)  Depression (HAM-D) 10.37 13.48 14.49 13.73 16.52 15.20 16.25 13.06 5.30 2.85 1.19 (11.38) (11.56) (11.57) (11.53) (11.40) (11.68) (12.15) (11.53) (6.23) (4.55) (2.15)  Mania (ASRM) 4.03 3.69 4.11 3.87 4.49 4.96 4.47 3.41 4.42 2.97 2.89 (3.68) (3.71) (3.69) (3.63) (3.53) (4.04) (4.40) (3.48) (4.12) (3.84) (3.48)  Mania (YMRS) 2.53 3.30 3.58 3.31 3.84 3.99 6.72 1.94 0.71 1.00 0.16 (4.35) (4.75) (4.86) (4.81) (4.66) (4.80) (6.25) (3.17) (1.52) (3.56) (0.81) Function and quality of life  HRQoL(SF-36; PCS) 49.88 (9.36) 48.27 48.22 48.35 (10.22) 47.83 (10.54) 48.03 (10.82) 48.49 (11.63) 45.25 (12.55) 51.00 (7.77) 50.38 (9.24) 53.59 (4.94) (10.31) (10.35)  HRQoL(SF-36; MCS) 41.63 (8.85) 38.59 38.21 38.98 (8.95) 37.65 (8.32) 35.28 (8.64) 32.76 (7.14) 39.5 (11.73) 46.28 (5.28) 47.72 (4.62) 47.77 (4.36) (8.94) (8.84)  Function(LFQ) 213 21.90 22.27 21.37 22.78 24.24 28.00 21.17 20.33 17.24 15.31 (7.99) (8.31) (8.39) (8.52) (7.58) (7.83) (9.92) (8.03) (9.71) (5.06) (4.28)  Medical conditions (count) 2.95 3.52 3.58 3.53 3.73 3.41 4.33 2.96 2.53 1.78 1.52 (2.44) (2.49) (2.49) (2.51) (2.35) (2.26) (3.28) (2.36) (2.42) (1.92) (1.58) Personality  Neuroticism 56.96 62.83 63.54 62.27 66.14 70.63 65.33 61.81 49.57 47.90 43.52 (15.63) (14.08) (13.86) (13.85) (14.13) (13.92) (12.08) (11.65) (13.42) (10.98) (10.03)  Extraversion 49.26 48.27 48.06 48.90 44.89 43.63 49.58 49.56 51.71 51.05 51.50 (11.59) (12.33) (12.36) (12.44) (12.29) (15.31) (9.78) (15.14) (9.43) (12.25) (8.91)  Openness 56.92 57.99 58.22 58.69 57.43 60.69 55.78 53.25 56.07 53.44 54.80 (11.91) (12.29) (12.40) (12.56) (12.27) (10.68) (11.91) (10.01) (10.69) (8.36) (11.05)  Agreeableness 49.66 49.29 49.16 50 47.31 53.19 45.78 49.5 51.57 47 51.06 (12.26) (12.82) (12.94) (12.49) (14.01) (13.19) (13.09) (11.82) (11.02) (10.72) (10.87)  Conscientiousness 46.04 44.17 43.75 43.13 47.09 43.88 41.69 47.44 50.54 49.31 50.24 (13.16) (13.75) (13.60) (13.62) (13.83) (13.53) (12.29) (12.66) (15.73) (11.33) (10.64) PHQ-9, Patient Health Questionnaire-9 item; ASRM, Altman Self-Rating Mania Scale: HRQoL, Health Related Quality of Life; LFQ, Life Functioning Questionnaire; YMRS, Young Mania Rating Scale; HAM-D, Hamilton Depression Rating Scale: SF-36, Short Form Survey- 36-Item. Open in new tab Table 2 Baseline symptoms and survey results based on condition; all values are mean (standard deviation) . All . All mood . BP . BP1 . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non-affective only . Controls . Mood symptoms  Depression (PHQ 9) 9.02 6.86 9.65 8.93 10.96 11.66 11.33 9.00 4.69 2.11 1.39 (6.86) (6.83) (6.73) (6.72) (6.30) (6.52) (7.87) (8.12) (5.74) (2.82) (2.22)  Depression (HAM-D) 10.37 13.48 14.49 13.73 16.52 15.20 16.25 13.06 5.30 2.85 1.19 (11.38) (11.56) (11.57) (11.53) (11.40) (11.68) (12.15) (11.53) (6.23) (4.55) (2.15)  Mania (ASRM) 4.03 3.69 4.11 3.87 4.49 4.96 4.47 3.41 4.42 2.97 2.89 (3.68) (3.71) (3.69) (3.63) (3.53) (4.04) (4.40) (3.48) (4.12) (3.84) (3.48)  Mania (YMRS) 2.53 3.30 3.58 3.31 3.84 3.99 6.72 1.94 0.71 1.00 0.16 (4.35) (4.75) (4.86) (4.81) (4.66) (4.80) (6.25) (3.17) (1.52) (3.56) (0.81) Function and quality of life  HRQoL(SF-36; PCS) 49.88 (9.36) 48.27 48.22 48.35 (10.22) 47.83 (10.54) 48.03 (10.82) 48.49 (11.63) 45.25 (12.55) 51.00 (7.77) 50.38 (9.24) 53.59 (4.94) (10.31) (10.35)  HRQoL(SF-36; MCS) 41.63 (8.85) 38.59 38.21 38.98 (8.95) 37.65 (8.32) 35.28 (8.64) 32.76 (7.14) 39.5 (11.73) 46.28 (5.28) 47.72 (4.62) 47.77 (4.36) (8.94) (8.84)  Function(LFQ) 213 21.90 22.27 21.37 22.78 24.24 28.00 21.17 20.33 17.24 15.31 (7.99) (8.31) (8.39) (8.52) (7.58) (7.83) (9.92) (8.03) (9.71) (5.06) (4.28)  Medical conditions (count) 2.95 3.52 3.58 3.53 3.73 3.41 4.33 2.96 2.53 1.78 1.52 (2.44) (2.49) (2.49) (2.51) (2.35) (2.26) (3.28) (2.36) (2.42) (1.92) (1.58) Personality  Neuroticism 56.96 62.83 63.54 62.27 66.14 70.63 65.33 61.81 49.57 47.90 43.52 (15.63) (14.08) (13.86) (13.85) (14.13) (13.92) (12.08) (11.65) (13.42) (10.98) (10.03)  Extraversion 49.26 48.27 48.06 48.90 44.89 43.63 49.58 49.56 51.71 51.05 51.50 (11.59) (12.33) (12.36) (12.44) (12.29) (15.31) (9.78) (15.14) (9.43) (12.25) (8.91)  Openness 56.92 57.99 58.22 58.69 57.43 60.69 55.78 53.25 56.07 53.44 54.80 (11.91) (12.29) (12.40) (12.56) (12.27) (10.68) (11.91) (10.01) (10.69) (8.36) (11.05)  Agreeableness 49.66 49.29 49.16 50 47.31 53.19 45.78 49.5 51.57 47 51.06 (12.26) (12.82) (12.94) (12.49) (14.01) (13.19) (13.09) (11.82) (11.02) (10.72) (10.87)  Conscientiousness 46.04 44.17 43.75 43.13 47.09 43.88 41.69 47.44 50.54 49.31 50.24 (13.16) (13.75) (13.60) (13.62) (13.83) (13.53) (12.29) (12.66) (15.73) (11.33) (10.64) . All . All mood . BP . BP1 . BP II . BP NOS . SAD-BP . MDD . Other affective disorders . Non-affective only . Controls . Mood symptoms  Depression (PHQ 9) 9.02 6.86 9.65 8.93 10.96 11.66 11.33 9.00 4.69 2.11 1.39 (6.86) (6.83) (6.73) (6.72) (6.30) (6.52) (7.87) (8.12) (5.74) (2.82) (2.22)  Depression (HAM-D) 10.37 13.48 14.49 13.73 16.52 15.20 16.25 13.06 5.30 2.85 1.19 (11.38) (11.56) (11.57) (11.53) (11.40) (11.68) (12.15) (11.53) (6.23) (4.55) (2.15)  Mania (ASRM) 4.03 3.69 4.11 3.87 4.49 4.96 4.47 3.41 4.42 2.97 2.89 (3.68) (3.71) (3.69) (3.63) (3.53) (4.04) (4.40) (3.48) (4.12) (3.84) (3.48)  Mania (YMRS) 2.53 3.30 3.58 3.31 3.84 3.99 6.72 1.94 0.71 1.00 0.16 (4.35) (4.75) (4.86) (4.81) (4.66) (4.80) (6.25) (3.17) (1.52) (3.56) (0.81) Function and quality of life  HRQoL(SF-36; PCS) 49.88 (9.36) 48.27 48.22 48.35 (10.22) 47.83 (10.54) 48.03 (10.82) 48.49 (11.63) 45.25 (12.55) 51.00 (7.77) 50.38 (9.24) 53.59 (4.94) (10.31) (10.35)  HRQoL(SF-36; MCS) 41.63 (8.85) 38.59 38.21 38.98 (8.95) 37.65 (8.32) 35.28 (8.64) 32.76 (7.14) 39.5 (11.73) 46.28 (5.28) 47.72 (4.62) 47.77 (4.36) (8.94) (8.84)  Function(LFQ) 213 21.90 22.27 21.37 22.78 24.24 28.00 21.17 20.33 17.24 15.31 (7.99) (8.31) (8.39) (8.52) (7.58) (7.83) (9.92) (8.03) (9.71) (5.06) (4.28)  Medical conditions (count) 2.95 3.52 3.58 3.53 3.73 3.41 4.33 2.96 2.53 1.78 1.52 (2.44) (2.49) (2.49) (2.51) (2.35) (2.26) (3.28) (2.36) (2.42) (1.92) (1.58) Personality  Neuroticism 56.96 62.83 63.54 62.27 66.14 70.63 65.33 61.81 49.57 47.90 43.52 (15.63) (14.08) (13.86) (13.85) (14.13) (13.92) (12.08) (11.65) (13.42) (10.98) (10.03)  Extraversion 49.26 48.27 48.06 48.90 44.89 43.63 49.58 49.56 51.71 51.05 51.50 (11.59) (12.33) (12.36) (12.44) (12.29) (15.31) (9.78) (15.14) (9.43) (12.25) (8.91)  Openness 56.92 57.99 58.22 58.69 57.43 60.69 55.78 53.25 56.07 53.44 54.80 (11.91) (12.29) (12.40) (12.56) (12.27) (10.68) (11.91) (10.01) (10.69) (8.36) (11.05)  Agreeableness 49.66 49.29 49.16 50 47.31 53.19 45.78 49.5 51.57 47 51.06 (12.26) (12.82) (12.94) (12.49) (14.01) (13.19) (13.09) (11.82) (11.02) (10.72) (10.87)  Conscientiousness 46.04 44.17 43.75 43.13 47.09 43.88 41.69 47.44 50.54 49.31 50.24 (13.16) (13.75) (13.60) (13.62) (13.83) (13.53) (12.29) (12.66) (15.73) (11.33) (10.64) PHQ-9, Patient Health Questionnaire-9 item; ASRM, Altman Self-Rating Mania Scale: HRQoL, Health Related Quality of Life; LFQ, Life Functioning Questionnaire; YMRS, Young Mania Rating Scale; HAM-D, Hamilton Depression Rating Scale: SF-36, Short Form Survey- 36-Item. Open in new tab Supplementary Tables 1 and 2 (available as Supplementary data at IJE online) describe the distribution of psychiatric disorders and chronic medical conditions in the pooled sample as well as based on diagnosis category. Supplementary Table 3 (available as Supplementary data at IJE online) describes the distribution of follow-up status and reasons for withdrawal from the cohort. Of the 1111 participants who were enrolled, 960 (86%) had longitudinal data defined as two or more observations at different time points over the follow-up period. How often have they been followed up? The measures and the assessment frequency for this study are described in Table 3. Individuals are followed up on a bi-monthly basis with self-report measures of severity of mood symptoms using the 9-item Patient Health Questionnaire (PHQ-9)18 and Altman Self-Rating Mania Scale (ASRM).19 Individuals also filled out the Short Form 12 (SF12).20 Since 2012, we have also added the Generalized Anxiety Disorder 7-item (GAD-7),21 Seasonal Pattern Assessment Questionnaire (SPAQ)22 and Columbia Suicide Severity Rating Scale (C-SSRS)23 scales to our battery. At 6 months, all participants completed the Short Form 36 (SF36),24 Alcohol Use Disorders Identification Test (AUDIT),25 Fagerstrom Test for Nicotine Dependence (FTND),26 Pittsburgh Sleep Quality Index (PSQI)27 and Life Events and Occurrences Scale (LEOS).28 Annual measures included measures of clinical severity, life functioning and environmental assessments (see Table 3). Neurocognitive assessments were performed at baseline, year 1, year 5 and year 10. The Longitudinal Interval Follow-up Evaluation (LIFE)29 was administered by clinicians every 2 years. A best estimate diagnostic review process was performed after the initial evaluation and was reviewed by two doctoral level clinicians with consideration of the available medical records and other relevant historical records such as pharmaceutical records. When the diagnosis is suspected to have changed following a clinically relevant event such as an admission or a LIFE interview, a best-estimate process is triggered to re-review the diagnosis. When the diagnosis changes, the individual continues to be followed but is no longer considered to be a member of the initial diagnostic category. Table 3 Measures and their timing across study domains Phenotypic Class . Measure/Process . Items . Format . Construct/Subdomains . Timing in the Cohort . Disease Diagnostic Interview for Genetic Studies (DIGS)30 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Baseline Longitudinal Interval Follow up Evaluation29 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Bi-annual Temperament - Personality Revised NEO Personality Inventory (NEO PI-R) )31 240 Self-rated Personality: Extraversion, Agreeableness, Neuroticism, Openness to Experience, Conscientiousness, Baseline, 1 Year, 5 Year, 10 Year BIS-11: Barratt Impulsiveness Scale35 30 Self-rated Impulsivity Baseline Buss-Durkee Hostility Inventory33 75 Self-rated Hostility Baseline Brown-Goodwin Aggression History34 11 Self-rated Aggression Baseline Motivated Behavior Fagerstrom Test for Nicotine Dependence (FTND)26 6 Self-rated Substance use: Nicotine Dependence Every 6 months Alcohol Use Disorders Identification Test – Revised (AUDIT-R)25 10 Self-rated Substance use: Alcohol Dependence Every 6 months Life Experiences Life Events Occurrence Survey (LEOS)28 38 Self-rated Life Events Every 6 months Life Events Checklist (LEC)38 38 Self-rated Life Events Annually Family Adaptability and Cohesion Evaluation Scale (FACES) II88 30 Self-rated Social Relations Annually Childhood Trauma Questionnaire (CTQ)40 28 Self-rated Childhood Trauma Baseline Life Functioning Questionnaire (LFQ)89 14 Self-rated Functionality Every 2 Months Experiences in Close Relationships Revised39 36 Self-rated Close Relationships Baseline Working Alliance Inventory90 12 Self-rated Functionaliy Baseline Neuro-cognitive Function Wechsler Abbreviated Scale of Intelligence91 a Technician administered Intellectual Functioning Baseline California Verbal Learning Test92 a Technician administered Verbal Learning and Memory Baseline, years 1, 5, 10 Rey-Osterrieth Complex Figure Test93,94 a Technician administered Visual Learning and Memory Baseline, years 1, 5, 10 Facial Emotion Perception Test95 a Technician administered Emotion Processing Baseline, years 1, 5, 10 Emotion Processing Test96 a Technician Administered Emotion Processing Baseline, years 1, 5, 10 Purdue Pegboard Test97 a Technician administered Fine Motor Functioning Baseline, years 1, 5, 10 Parametric Go/No Go Test98 a Technician administered Attention and Response Control Baseline, years 1, 5, 10 Stroop Color Word Test99 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Trail Making Test100 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Wisconsin Card Sort Test101 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Synonym Knowledge Test102 a Technician administered Premorbid verbal skills Baseline, years 1, 5 Test of Memory Malingering103 a Technician administered Effort / Dissimulation Baseline, years 1, 5, 10 Circadian and sleep patterns Epworth Sleepiness Scale46 8 Self-rated Subjective sleep quality, Sleep latency, Sleep duration, Habitual sleep Efficiency Annually Pittsburgh Sleep Quality Index27 11 Self-rated Subjective sleep quality, Sleep latency, Sleep duration Habitual sleep Efficiency Every Six Months Munich Chronotype Questionnaire (MCTQ)47 37 Self-rated Chronotype: Morning or Evening person Annually Seasonal Pattern Assessment Questionnaire (SPAQ)22 29 Self-rated Seasonality of Circadian and Sleep Baseline Clinical Outcomes Patient Health Questionnaire (PHQ)18 9 Self-rated Depression Every 2 Months Hamilton Depression Rating Scale (HAM-D)48 21 Interviewer Depression Annually Young Mania Rating Scale (YMRS)49 11 Interviewer Mania Annually Altman Self-Rating Mania Scale (ASRM)19 5 Self-rated Mania Every 2 Months General Anxiety Disorder (GAD)21 7 Self-rated Anxiety Every 2 Months Columbia Suicide Severity Rating Scale (C-SSRS)23 a Self-rated Suicidality Annually Short Form Health Survey 12-Item (SF-12)20 12 Self-rated Quality of Life Every 2 Months Short Form Health Survey 36-Item (SF-36)24 36 Self-rated Quality of Life Every 6 months Phenotypic Class . Measure/Process . Items . Format . Construct/Subdomains . Timing in the Cohort . Disease Diagnostic Interview for Genetic Studies (DIGS)30 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Baseline Longitudinal Interval Follow up Evaluation29 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Bi-annual Temperament - Personality Revised NEO Personality Inventory (NEO PI-R) )31 240 Self-rated Personality: Extraversion, Agreeableness, Neuroticism, Openness to Experience, Conscientiousness, Baseline, 1 Year, 5 Year, 10 Year BIS-11: Barratt Impulsiveness Scale35 30 Self-rated Impulsivity Baseline Buss-Durkee Hostility Inventory33 75 Self-rated Hostility Baseline Brown-Goodwin Aggression History34 11 Self-rated Aggression Baseline Motivated Behavior Fagerstrom Test for Nicotine Dependence (FTND)26 6 Self-rated Substance use: Nicotine Dependence Every 6 months Alcohol Use Disorders Identification Test – Revised (AUDIT-R)25 10 Self-rated Substance use: Alcohol Dependence Every 6 months Life Experiences Life Events Occurrence Survey (LEOS)28 38 Self-rated Life Events Every 6 months Life Events Checklist (LEC)38 38 Self-rated Life Events Annually Family Adaptability and Cohesion Evaluation Scale (FACES) II88 30 Self-rated Social Relations Annually Childhood Trauma Questionnaire (CTQ)40 28 Self-rated Childhood Trauma Baseline Life Functioning Questionnaire (LFQ)89 14 Self-rated Functionality Every 2 Months Experiences in Close Relationships Revised39 36 Self-rated Close Relationships Baseline Working Alliance Inventory90 12 Self-rated Functionaliy Baseline Neuro-cognitive Function Wechsler Abbreviated Scale of Intelligence91 a Technician administered Intellectual Functioning Baseline California Verbal Learning Test92 a Technician administered Verbal Learning and Memory Baseline, years 1, 5, 10 Rey-Osterrieth Complex Figure Test93,94 a Technician administered Visual Learning and Memory Baseline, years 1, 5, 10 Facial Emotion Perception Test95 a Technician administered Emotion Processing Baseline, years 1, 5, 10 Emotion Processing Test96 a Technician Administered Emotion Processing Baseline, years 1, 5, 10 Purdue Pegboard Test97 a Technician administered Fine Motor Functioning Baseline, years 1, 5, 10 Parametric Go/No Go Test98 a Technician administered Attention and Response Control Baseline, years 1, 5, 10 Stroop Color Word Test99 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Trail Making Test100 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Wisconsin Card Sort Test101 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Synonym Knowledge Test102 a Technician administered Premorbid verbal skills Baseline, years 1, 5 Test of Memory Malingering103 a Technician administered Effort / Dissimulation Baseline, years 1, 5, 10 Circadian and sleep patterns Epworth Sleepiness Scale46 8 Self-rated Subjective sleep quality, Sleep latency, Sleep duration, Habitual sleep Efficiency Annually Pittsburgh Sleep Quality Index27 11 Self-rated Subjective sleep quality, Sleep latency, Sleep duration Habitual sleep Efficiency Every Six Months Munich Chronotype Questionnaire (MCTQ)47 37 Self-rated Chronotype: Morning or Evening person Annually Seasonal Pattern Assessment Questionnaire (SPAQ)22 29 Self-rated Seasonality of Circadian and Sleep Baseline Clinical Outcomes Patient Health Questionnaire (PHQ)18 9 Self-rated Depression Every 2 Months Hamilton Depression Rating Scale (HAM-D)48 21 Interviewer Depression Annually Young Mania Rating Scale (YMRS)49 11 Interviewer Mania Annually Altman Self-Rating Mania Scale (ASRM)19 5 Self-rated Mania Every 2 Months General Anxiety Disorder (GAD)21 7 Self-rated Anxiety Every 2 Months Columbia Suicide Severity Rating Scale (C-SSRS)23 a Self-rated Suicidality Annually Short Form Health Survey 12-Item (SF-12)20 12 Self-rated Quality of Life Every 2 Months Short Form Health Survey 36-Item (SF-36)24 36 Self-rated Quality of Life Every 6 months aThe number of items in the test varies with the patient response. Open in new tab Table 3 Measures and their timing across study domains Phenotypic Class . Measure/Process . Items . Format . Construct/Subdomains . Timing in the Cohort . Disease Diagnostic Interview for Genetic Studies (DIGS)30 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Baseline Longitudinal Interval Follow up Evaluation29 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Bi-annual Temperament - Personality Revised NEO Personality Inventory (NEO PI-R) )31 240 Self-rated Personality: Extraversion, Agreeableness, Neuroticism, Openness to Experience, Conscientiousness, Baseline, 1 Year, 5 Year, 10 Year BIS-11: Barratt Impulsiveness Scale35 30 Self-rated Impulsivity Baseline Buss-Durkee Hostility Inventory33 75 Self-rated Hostility Baseline Brown-Goodwin Aggression History34 11 Self-rated Aggression Baseline Motivated Behavior Fagerstrom Test for Nicotine Dependence (FTND)26 6 Self-rated Substance use: Nicotine Dependence Every 6 months Alcohol Use Disorders Identification Test – Revised (AUDIT-R)25 10 Self-rated Substance use: Alcohol Dependence Every 6 months Life Experiences Life Events Occurrence Survey (LEOS)28 38 Self-rated Life Events Every 6 months Life Events Checklist (LEC)38 38 Self-rated Life Events Annually Family Adaptability and Cohesion Evaluation Scale (FACES) II88 30 Self-rated Social Relations Annually Childhood Trauma Questionnaire (CTQ)40 28 Self-rated Childhood Trauma Baseline Life Functioning Questionnaire (LFQ)89 14 Self-rated Functionality Every 2 Months Experiences in Close Relationships Revised39 36 Self-rated Close Relationships Baseline Working Alliance Inventory90 12 Self-rated Functionaliy Baseline Neuro-cognitive Function Wechsler Abbreviated Scale of Intelligence91 a Technician administered Intellectual Functioning Baseline California Verbal Learning Test92 a Technician administered Verbal Learning and Memory Baseline, years 1, 5, 10 Rey-Osterrieth Complex Figure Test93,94 a Technician administered Visual Learning and Memory Baseline, years 1, 5, 10 Facial Emotion Perception Test95 a Technician administered Emotion Processing Baseline, years 1, 5, 10 Emotion Processing Test96 a Technician Administered Emotion Processing Baseline, years 1, 5, 10 Purdue Pegboard Test97 a Technician administered Fine Motor Functioning Baseline, years 1, 5, 10 Parametric Go/No Go Test98 a Technician administered Attention and Response Control Baseline, years 1, 5, 10 Stroop Color Word Test99 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Trail Making Test100 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Wisconsin Card Sort Test101 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Synonym Knowledge Test102 a Technician administered Premorbid verbal skills Baseline, years 1, 5 Test of Memory Malingering103 a Technician administered Effort / Dissimulation Baseline, years 1, 5, 10 Circadian and sleep patterns Epworth Sleepiness Scale46 8 Self-rated Subjective sleep quality, Sleep latency, Sleep duration, Habitual sleep Efficiency Annually Pittsburgh Sleep Quality Index27 11 Self-rated Subjective sleep quality, Sleep latency, Sleep duration Habitual sleep Efficiency Every Six Months Munich Chronotype Questionnaire (MCTQ)47 37 Self-rated Chronotype: Morning or Evening person Annually Seasonal Pattern Assessment Questionnaire (SPAQ)22 29 Self-rated Seasonality of Circadian and Sleep Baseline Clinical Outcomes Patient Health Questionnaire (PHQ)18 9 Self-rated Depression Every 2 Months Hamilton Depression Rating Scale (HAM-D)48 21 Interviewer Depression Annually Young Mania Rating Scale (YMRS)49 11 Interviewer Mania Annually Altman Self-Rating Mania Scale (ASRM)19 5 Self-rated Mania Every 2 Months General Anxiety Disorder (GAD)21 7 Self-rated Anxiety Every 2 Months Columbia Suicide Severity Rating Scale (C-SSRS)23 a Self-rated Suicidality Annually Short Form Health Survey 12-Item (SF-12)20 12 Self-rated Quality of Life Every 2 Months Short Form Health Survey 36-Item (SF-36)24 36 Self-rated Quality of Life Every 6 months Phenotypic Class . Measure/Process . Items . Format . Construct/Subdomains . Timing in the Cohort . Disease Diagnostic Interview for Genetic Studies (DIGS)30 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Baseline Longitudinal Interval Follow up Evaluation29 a Interviewer Categorical Disorders/Psychiatric Disorder(s) Bi-annual Temperament - Personality Revised NEO Personality Inventory (NEO PI-R) )31 240 Self-rated Personality: Extraversion, Agreeableness, Neuroticism, Openness to Experience, Conscientiousness, Baseline, 1 Year, 5 Year, 10 Year BIS-11: Barratt Impulsiveness Scale35 30 Self-rated Impulsivity Baseline Buss-Durkee Hostility Inventory33 75 Self-rated Hostility Baseline Brown-Goodwin Aggression History34 11 Self-rated Aggression Baseline Motivated Behavior Fagerstrom Test for Nicotine Dependence (FTND)26 6 Self-rated Substance use: Nicotine Dependence Every 6 months Alcohol Use Disorders Identification Test – Revised (AUDIT-R)25 10 Self-rated Substance use: Alcohol Dependence Every 6 months Life Experiences Life Events Occurrence Survey (LEOS)28 38 Self-rated Life Events Every 6 months Life Events Checklist (LEC)38 38 Self-rated Life Events Annually Family Adaptability and Cohesion Evaluation Scale (FACES) II88 30 Self-rated Social Relations Annually Childhood Trauma Questionnaire (CTQ)40 28 Self-rated Childhood Trauma Baseline Life Functioning Questionnaire (LFQ)89 14 Self-rated Functionality Every 2 Months Experiences in Close Relationships Revised39 36 Self-rated Close Relationships Baseline Working Alliance Inventory90 12 Self-rated Functionaliy Baseline Neuro-cognitive Function Wechsler Abbreviated Scale of Intelligence91 a Technician administered Intellectual Functioning Baseline California Verbal Learning Test92 a Technician administered Verbal Learning and Memory Baseline, years 1, 5, 10 Rey-Osterrieth Complex Figure Test93,94 a Technician administered Visual Learning and Memory Baseline, years 1, 5, 10 Facial Emotion Perception Test95 a Technician administered Emotion Processing Baseline, years 1, 5, 10 Emotion Processing Test96 a Technician Administered Emotion Processing Baseline, years 1, 5, 10 Purdue Pegboard Test97 a Technician administered Fine Motor Functioning Baseline, years 1, 5, 10 Parametric Go/No Go Test98 a Technician administered Attention and Response Control Baseline, years 1, 5, 10 Stroop Color Word Test99 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Trail Making Test100 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Wisconsin Card Sort Test101 a Technician administered Executive Functioning Baseline, years 1, 5, 10 Synonym Knowledge Test102 a Technician administered Premorbid verbal skills Baseline, years 1, 5 Test of Memory Malingering103 a Technician administered Effort / Dissimulation Baseline, years 1, 5, 10 Circadian and sleep patterns Epworth Sleepiness Scale46 8 Self-rated Subjective sleep quality, Sleep latency, Sleep duration, Habitual sleep Efficiency Annually Pittsburgh Sleep Quality Index27 11 Self-rated Subjective sleep quality, Sleep latency, Sleep duration Habitual sleep Efficiency Every Six Months Munich Chronotype Questionnaire (MCTQ)47 37 Self-rated Chronotype: Morning or Evening person Annually Seasonal Pattern Assessment Questionnaire (SPAQ)22 29 Self-rated Seasonality of Circadian and Sleep Baseline Clinical Outcomes Patient Health Questionnaire (PHQ)18 9 Self-rated Depression Every 2 Months Hamilton Depression Rating Scale (HAM-D)48 21 Interviewer Depression Annually Young Mania Rating Scale (YMRS)49 11 Interviewer Mania Annually Altman Self-Rating Mania Scale (ASRM)19 5 Self-rated Mania Every 2 Months General Anxiety Disorder (GAD)21 7 Self-rated Anxiety Every 2 Months Columbia Suicide Severity Rating Scale (C-SSRS)23 a Self-rated Suicidality Annually Short Form Health Survey 12-Item (SF-12)20 12 Self-rated Quality of Life Every 2 Months Short Form Health Survey 36-Item (SF-36)24 36 Self-rated Quality of Life Every 6 months aThe number of items in the test varies with the patient response. Open in new tab What has been measured? Bipolar disorder was deconstructed into seven phenotypic classes as outlined in Figure 1 (phenoclasses), each of which contains relevant measures that describe elements that map to the specific class. Disease class The standard categorical diagnoses of disease were gathered using the Diagnostic Interview for Genetic Studies (DIGS),30 a detailed clinical assessment that applies operational criteria to determine the lifetime diagnoses. The LIFE,29 a clinical assessment selected to estimate the episode frequency over the preceding time period, was administered on average every 2 years. Neurocognitive class Neurocognitive measures of auditory and visual memory, emotion processing, motor control and excecutive functioning, which includes inhibitory control, conceptual reasoning and set shifting, are listed in Table 3. The goal of assessing this phenotypic class was to measure neurocognitive functioning in individuals with BP compared with controls, in order to evaluate the relationship between neurocognitive functioning and BP. Measures were repeated to evaluate the effect of variable mood states and time course on cognitive states. Psychological dimensions class Personality and temperament are dimensional features measured with the NEO-Personality Inventory Revised (NEO PI-R),31 a 240-item self-report scale based on the five-factor model of personality.32 Additional temperamental and psychological measures include the Buss-Durkee Hostility Inventory (BDHI) which measures an attitudinal component of hostility (Resentment and Suspicion) and a motor component (Assault, Indirect Hostility, Irritability and Verbal Hostility),33 Brown-Goodwin Life History of Aggression (BGLHA)34 and Barratt Impulsiveness Scale (BIS-11).35 The goal of these measures was to determine the psychological manifestation of disease. Motivated behaviour class The most common motivated behaviours among individuals with BP include substance use disorders such as alcohol abuse and use of illicit drugs and tobacco, which are frequently abused by individuals with BP. Lifetime data are gathered (DIGS interview)30 and ongoing use patterns are assessed bi-annually using the AUDIT scale.25 Smoking is assessed using the Fagerstrom Test for Nicotine Dependence (FTND).26 The onset, nature and frequency of substance use relative to BP is of aetiological interest as it remains unclear as to whether BP can be caused or exacerbated by substance abuse36 or if substance abuse occurs consequentially to BP disorder and influences the course of illness.37 Life story class The life story class records data on life events,28,38 experiences in intimate relationships,39 childhood trauma40 and the familial environment.41,42 Personal experiences throughout life vary considerably, as does the personal perception of these experiences.43 The data are self-report and often retrospective, selected to measure and compare the influence of life experiences in the context of BP disorder. Circadian pattern and sleep class BP disorder has been proposed to be an illness of circadian rhythms.44 Associations have been reported with clock genes known to affect circadian patterns.45 To determine the effect of this phenotypic class, we gathered data on circadian and sleep patterns using standard scales measuring sleep quality,27 daytime sleepiness46 and circadian patterns.47 Outcomes and severity class Bipolar disorders are defined by DSM IV criteria15 but are characterized by their trajectory, the severity of symptoms, the number of episodes, response to medications and the ability of the individual to engage in social, personal and vocational activities. In this study, regular measures of depression and mania symptoms were recorded using clinician-rated instruments48,49 and self-rated instruments.18–20 Included in this class are responses to medication and other interventional strategies to manage BP. Other data At the time of enrolment in the study, a blood sample was procured to obtain a DNA sample. Lymphoblastic cell lines were initially established but this was discontinued in 2012. All individuals currently undergo genotyping use the Infinium Human Core Exome v1–0 genomic panel from Illumina. A subset of the cohort has undergone an average of 9X whole genome sequencing. The genomic sequence has been imputed for the remainder. What has been found? Key findings and publications Comorbidities Medical and psychiatric disorders are comorbid with BP in the PrBP cohort, which is consistent with previous studies.50 Migraine headaches were found to be more frequent among BP compared with controls (31% vs 6%; odds ratio (OR) = 3.5, 95% confidence interval (CI): 2.1–5.8), with greater risks associated with female sex, increases in measures of severity (earlier onset and greater frequency of mood episodes) and a history abuse or neglect.51 Eating disorders (ED), anxiety disorders and alcohol use disorders were also more common among individuals with BP compared with controls.52 The age at onset of BP was earlier with comorbid ED (15.1 vs 18.4 years, P = 0.002); if anxiety onset preceded ED (13 vs 15.1 years, P < 0.05); and if the onset of alcohol use disorders occurred after a comorbid diagnosis of both BP and ED.52 Comorbid alcohol use disorder and BP affected several measures of cognitive functioning.53 In addition, metabolic syndrome is common among participants in the PrBP cohort.54 Trauma and life history Life events and experiences shape the individual. A history of childhood trauma was common among the BP individuals compared with the controls, and in general is associated with a detrimental effect on inhibitory control and attention accuracy as measured in Parametric Go/NoGo trials (NoGo P = 0.013; Go P < 0.001).55 Reaction times were also associated with age of onset and illness duration. Depressive symptoms at the time of assessment were not associated with outcome.55 A history of trauma increased the risk of ED.52 Diet, metabolites, microbiome and health outcome Detailed dietary assessments identified lower intake of polyunsaturated fats and higher level of saturated fats in individuals with BP (P = 0.021), suggesting that lifestyle and dietary changes were warranted from a metabolic perspective.56 Arachadonic acid levels were lower among those with a history of suicide attempts compared with non-attempters (P = 0.026).57 Lower levels of linoleic acid predicted worse outcomes of mood burden (P = 0.03).58 An association between the ratios of plasma ω-3 and ω-6 lipids with burden of disease measures was found in individuals with BP.59 Taxonomical characterization of the microbiome in BP found a relative decrease in Faecalibacterium, a gut bacterium that is associated broadly with human disease states and is associated with increased measures of depressive symptoms and sleep disturbances among those with BP.60 Antipsychotic medication has an effect on the microbiome by decreasing species diversity, specifically among females with BP (P = 0.015).61 Sex and gender differences in the course and risk factors of BP In women, but not men, poor sleep quality at baseline predicted increased severity and frequency of episodes of depression (P < 0.001), and poor sleep quality was a stronger predictor than baseline depression.62 Poor sleep quality at baseline was a predictor of the severity and variability of mania as well as frequency of mixed episodes.63 In men, however, baseline depression was a stronger predictor of mood outcome compared with poor sleep quality.62 Sex differences are identified in many studies of the PrBP cohort, from microbiome,61 and comorbidities51,52 to cognitive functioning.64 Personality traits and course of illness Over 2 years of follow-up of patients with BP, personality trait—particularly neuroticism—was found to influence severity of the illness, measured by average depressive and mania symptoms.62 Neuroticism was a stronger predictor of mood outcome in men than women. In men, neuroticism was also a stronger predictor of course than sleep quality.62 Neurocognitive function at baseline, over time, and genetic correlates At study entry, neurocognitive function was poorer in BP than controls in several measures of memory, executive functioning and motor abilities;65,66 however, changes in executive functioning from baseline to 5-year follow-up were similar across diagnostic groups.67 Older age at baseline was associated with worse initial performance in executive functioning and with greater decline in processing speed with interference resolution as well as verbal fluency with processing speed. There is likely to be a combined effect of age and BP on cognitive functioning.68 Higher education was marginally associated with a smaller declining slope for processing speed with interference resolution.67 The phase of illness (elevated mood vs depressed mood) affected the cognitive scores, with the hypomanic/mixed affective state being more sensitive (P = 0.0001).66 Overall, cognitive and emotional reactivity appears to be dysregulated in BP individuals.69 Cognitive ability is affected by treatment with second-generation antipsychotics (SGAs), with measurable influence from genetic variation; BP individuals with the COMT rs5993883 GG-genotype treated with SGAs had lower verbal learning and memory scores, and lower scores on a cognitive control task.70 An interaction was found between SGA-COMT and GG-genotype on verbal learning, verbal memory and control.70 Genetics and cellular modelling Data from the PrBP cohort have been included in genome-wide association (GWAS) studies71,72 that have confirmed susceptibility genes CACNA1C and ANK3 for BP. Offspring at risk of BP from this cohort73 show an increase in the polygenic risk score (PRS) among those developing affective phenotypes.74 Categorization according to internalizing (e.g. anxiety) disorders and externalizing (substance abuse) disorders clearly demonstrated familial aggregation.75 Cellular models of BP using neurons derived from induced pluripotent stem cells (iPSC) from fibroblasts sampled from the PrBP cohort found evidence of hyper-excitability of BP-derived neurons compared with control neurons. The hyper-excitability could be returned to control levels when the neurons were cultured overnight with a therapeutic concentration of lithium.76,77 There was also evidence of disrupted neural patterning, consistent with a developmental aetiology driving BP.78 Microarray analysis of these neurons has identified a panel of misregulated microRNAs79 and alterations in astrocyte behaviour and function.80 Computational modelling The clinical course and longitudinal pattern from the LIFE interview was the basis for Bayesian nonparametric hierarchical modelling using latent class and patient-specific models. Three subtypes were justified using the course of subsyndromal patterns, and differed in the rates of attempted suicide, disability status and chronicity of affective symptoms.81 Modelling of acoustic patterns of speech passively captured from conversations on a smartphone identified acoustic features associated with depressive and manic states, with acceptable accuracy for each state [area under the curve (AUC) 0.74 and 0.70, respectively.82 Latent growth modelling of executive functioning in BP found an effect of age and baseline functioning. Individuals with BP had poorer executive functioning, but the linear slope of the decline over 5 years was the same as in the control group.67 What are the main strengths and weaknesses? The major strength of the PrBP cohort is the detail and depth of clinical and biological data obtained about the participants. A core of dedicated participant collaborators continues to demonstrate a shared passion and vision for research dedicated to solutions for BP disorder. The study has investigators from psychiatry, engineering, mathematics, cell and developmental biology, among other disciplines, all of whom have contributed to the multidisciplinary nature of the cohort data. The project was designed to gather extensive amounts of data from the phenotype classes. There are extensive follow-up data on all individuals, with symptom severity measures gathered every 2 months, a semi-annual assessment of behaviours, an annual assessment of disease symptoms and environmental influences, and evaluation of cognitive functions at baseline and years 1, 5 and 10. A baseline biological measure, a genotype fingerprint consisting of 340 000 SNPs (single nucleotide polymorphisms), was routinely collected on these participants for analytical purposes and identity confirmation. A considerable amount of self-report data has been gathered on the participants; this is a strength from the perspective of consistency because the data are directly reported by the participant. A potential drawback of self-reported data is that there will be variability based on personal self-assessments, but this is mitigated in most questionnaires by providing descriptive statements associated with the numerical values. Additional weaknesses include the limited geographical ascertainment from a college town and community in Southeast Michigan, reflected in the demographics (the majority of the cohort is White and college educated). This is an important consideration, given the potential link between social class and BP.83,84 A related limitation includes its modest cohort size (particularly for minorities, the very young and elderly) of cases and controls, which is due in part to the labour-intensive nature of clinical research and the commitment required from participants for longitudinal follow-up. This may skew the sample towards a well-educated and committed group of participants who willing to participate in long-term studies and may not reflect the bipolar population with severe chronic illness in an underserved inner city community. The diagnostic categories remain in the DSM IV definitions and have yet to be updated to DSM 5. There are no substantive changes for the lifetime diagnosis of BP between DSM IV and DSM 5, as the DIGS interview uses the most severe episode of depression and mania to establish the initial study entry diagnosis. Data on temperament and personality were collected with standardized assessment tools such as the NEO PI-R, a dimensional instrument based on the 5-factor model of personality;31 no attempts were made to collect categorical personality information based on the DSM criteria. Similar to other cohorts such as STEP-BD,85 LITMUS86 and the Stanley Bipolar Study,87 the average age of intake into the Prechter study is 38.6. Despite a mean age at first episode of 17.6 years, individuals with BP appear less likely to engage in the study at earlier phases of their illness. The PrBP aspires to maintain active participation of individuals for their lifetime and to strengthen the engagement of minorities, younger people with BP, and those at risk for the illness. The Heinz C. Prechter Bipolar Genetic Repository provides access to these unique clinical and biological data. The availability of the data and the biological samples (DNA and cell lines), as well as continued commitment of the participants, will provide a solid base for ongoing research into mechanistic and preventative research programmes in bipolar and related mood disorders. Can I get hold of the data? Where can I find out more? All data and samples are available through the Heinz C. Prechter Genetic Repository, distributed by the University of Michigan Central Biorepository (CBR). Enquiries: [http://www.prechterprogram.org/data]. Initial evaluation, DNA and genotype data are available for independent analyses. Longitudinal and outcomes data are available subject to review of the proposed analyses. Updated publications are referenced: [http://www.prechterfund.org/bipolar-research/publications/]. Supplementary Data Supplementary data are available at IJE online. Profile in a nutshell This open longitudinal cohort of bipolar disorder was set up to identify biological and psychological mechanisms, and clinical predictors of disease and outcomes. It advances a multi-modal approach for computational analyses using the unique features of the breadth and depth of data from seven phenotypic classes. Data for the PrBP cohort were collected in SE Michigan from 2005 to 2017; there are 1111 participants in the baseline sample described herein, and ascertainment and follow-up continues. The study population reflects the local population, 80% Caucasian and 20% minorities; the average age at entry is 39 (range 18 – 65). Bi-monthly follow-up takes place after an extensive baseline evaluation. Participants currently active: 850; aggregate attrition rate: 75%; 960 (86%) participants have at least two follow-up points. Seven phenotypic classes include categorical or dimensional assessments:(i) disease (DSM); (ii) neurocognitive; (iii) psychological/temperament; (iv) motivated behaviours; (v) life story; (vi) circadian patterns; and (vii) outcomes and severity. Funding The Heinz C Prechter Bipolar Research Fund supported the collection of the data for the Prechter Longitudinal Study of Bipolar Disorder and the Prechter Bipolar Genetic Repository. The Richard Tam Foundation, the Steven Schwartzberg Memorial Fund, the Kelly Elizabeth Beld Memorial Fund and the National Institutes of Health (R34MH100404, U19MH106434 and UL1TR000443) supported research described herein using the Prechter cohort. Acknowledgements We are grateful to the many participants of the research study, all of whom have given so much of their personal time and experiences to this work. We especially thank Waltraud Prechter and her family and the many supporters of the Heinz C. Prechter Bipolar Research Fund who have made this work possible. We dedicate this manuscript to Heinz Prechter (19 January 1942 to– 6 July 2001). Members of the Prechter Bipolar Clinical Research Collaborative: Gloria J. Harrington, Monica Bame, Holli Bertram, Christine Brucksch, Jinsoo Chun, Amy Cochran, Cynthia DeLong, Rebecca Easter, Vicki Ellingrod, Valerie Foster, Gu Eon Kang, Neera Ghaziuddin, John Gideon, John Greden, Christine Grimm, Melissa Gross, Paul Jenkins, Marisa Kelly, Soheil Khorram, Emily Martinez, Savanna Mueller, Lisa O’Donnell, Brianna Preiser, Allan Prossin, Stephen B. Thompson, Aislinn Williams. Conflict of interest: In the past 3 years, MGM has served as a consultant to Takeda, Otsuka and Janssen Pharmaceuticals. References 1 Goodwin FK , Jamison KR, Ghaemi SN. Manic-depressive illness: bipolar disorders and recurrent depression . New York , Oxford University Press , 2007 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 2 Tondo L , Pompili M, Forte A, Baldessarini RJ. Suicide attempts in bipolar disorders: comprehensive review of 101 reports . Acta Psychiatr Scand . 2016 ; 133 : 174 – 86 . Google Scholar Crossref Search ADS PubMed WorldCat 3 Harris EC , Barraclough B. Suicide as an outcome for mental disorders . A meta-analysis. Br J Psychiatry . 1997 ; 170 : 205 – 28 . Google Scholar Crossref Search ADS WorldCat 4 Slater E . The Inheritance of Manic-depressive Insanity and Its Relation to Mental Defect . J Ment Sci . 1936 ; 82 : 626 – 34 . Google Scholar Crossref Search ADS WorldCat 5 McGuffin P , Rijsdijk F, Andrew M, Sham P, Katz R, Cardno A. The heritability of bipolar affective disorder and the genetic relationship to unipolar depression . Arch Gen Psychiatry . 2003 ; 60 : 497 – 502 . Google Scholar Crossref Search ADS PubMed WorldCat 6 Gershon ES , Hamovit J, Guroff JJ, Nurnberger JI, Goldin LR, Bunney WE. A Family Study of Schizoaffective, Bipolar I, Bipolar II, Unipolar and Normal Control Probands . Arch Gen Psychiatry . 1982 ; 39 : 1157 – 67 . Google Scholar Crossref Search ADS PubMed WorldCat 7 Goes FS . Genetics of Bipolar Disorder: Recent Update and Future Directions . Psychiatr Clin North Am . 2016 ; 39 : 139 – 55 . Google Scholar Crossref Search ADS PubMed WorldCat 8 Ludwig B , Dwivedi Y. Dissecting bipolar disorder complexity through epigenomic approach . Mol Psychiatry . 2016 ; 21 : 1490 – 98 . Google Scholar Crossref Search ADS PubMed WorldCat 9 Johnson SL , Cuellar AK, Gershon A. The Influence of Trauma, Life Events, and Social Relationships on Bipolar Depression . Psychiatr Clin North Am . 2016 ; 39 : 87 – 94 . Google Scholar Crossref Search ADS PubMed WorldCat 10 Lief A . The commonsense psychiatry of Dr. Adolf Meyer . New York , McGraw-Hill , 1948 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 11 McHugh PR , Slavney PR. The perspectives of psychiatry . Baltimore , Johns Hopkins University Press , 1983 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 12 Kendler KS . The dappled nature of causes of psychiatric illness: replacing the organic-functional/hardware-software dichotomy with empirically based pluralism . Mol Psychiatry . 2012 ; 17 : 377 – 88 . Google Scholar Crossref Search ADS PubMed WorldCat 13 Vandenbroucke JP , Broadbent A, Pearce N. Causality and causal inference in epidemiology: the need for a pluralistic approach . Int J Epidemiol . 2016 ; 45 : 1776 – 86 . Google Scholar Crossref Search ADS PubMed WorldCat 14 Cuthbert BN , Insel TR. Toward new approaches to psychotic disorders: the NIMH Research Domain Criteria project . Schizophr Bull . 2010 ; 36 : 1061 – 2 . Google Scholar Crossref Search ADS PubMed WorldCat 15 American Psychiatric Association . Task Force on DSM-IV. Diagnostic and statistical manual of mental disorders : DSM-IV . Washington, DC , American Psychiatric Association , 1994 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 16 First MB . Preserving the clinician-researcher interface in the age of RDoC: the continuing need for DSM-5/ICD-11 characterization of study populations . World Psychiatry . 2014 ; 13 : 53 – 54 . Google Scholar Crossref Search ADS PubMed WorldCat 17 Sathiakumar N , Delzell E, Abdalla O. Using the National Death Index to obtain underlying cause of death codes . J Occup Environ Med . 1998 ; 40 : 808 – 13 . Google Scholar Crossref Search ADS PubMed WorldCat 18 Kroenke K , Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure . J Gen Intern Med . 2001 ; 16 : 606 – 13 . Google Scholar Crossref Search ADS PubMed WorldCat 19 PsychiatryAltman Biological EG , Hedeker D, Peterson JL, Davis JM. The Altman Self-Rating Mania Scale . Biol Psychiatry . 1997 ; 42 : 948 – 55 . Google Scholar Crossref Search ADS PubMed WorldCat 20 Ware J Jr ., Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity . Med Care . 1996 ; 34 : 220 – 33 . Google Scholar Crossref Search ADS PubMed WorldCat 21 Spitzer RL , Kroenke K, Williams JBW, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7 . Arch Intern Med . 2006 ; 166 : 1092 . Google Scholar Crossref Search ADS PubMed WorldCat 22 Rosenthal NE , Bradt GH, Wehr TA. Seasonal pattern assessment questionnaire . National Institute of Mental Health : Bethesda ; 1987 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 23 Posner K , Brown GK, Stanley B, et al. The Columbia-Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults . Am J Psychiatry . 2011 ; 168 : 1266 – 77 . Google Scholar Crossref Search ADS PubMed WorldCat 24 Ware JE Jr ., Sherbourne CD. The MOS 36-item short-form health survey (SF-36) . I. Conceptual framework and item selection. Med Care . 1992 ; 30 : 473 – 83 . Google Scholar OpenURL Placeholder Text WorldCat 25 Saunders JB , Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption–II . Addiction . 1993 ; 88 : 791 – 804 . Google Scholar Crossref Search ADS PubMed WorldCat 26 Heatherton TF , Kozlowski LT, Frecker RC, Fagerstrom KO. The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire . Br J Addict . 1991 ; 86 : 1119 – 27 . Google Scholar Crossref Search ADS PubMed WorldCat 27 Buysse DJ , Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index - A New Instrument for Psychiatric Practice and Research . Psychiatry Res . 1989 ; 28 : 193 – 213 . Google Scholar Crossref Search ADS PubMed WorldCat 28 McKee SA , Kochetkova A, Maciejewski P, O’Malley S, Krishnan-Sarin S, Mazur CM, editors. A new measure for assessing the impact of stressful events on smoking behavior . Annual Meeting of the Society for Research on Nicotine and Tobacco ; 2005 . Prague . Google Scholar OpenURL Placeholder Text WorldCat 29 Keller MB , Lavori PW, Friedman B, et al. The Longitudinal Interval Follow-up Evaluation. A comprehensive method for assessing outcome in prospective longitudinal studies . Arch Gen Psychiatry . 1987 ; 44 : 540 – 48 . Google Scholar Crossref Search ADS PubMed WorldCat 30 Nurnberger JI Jr ., Blehar MC, Kaufmann CA, et al. Diagnostic interview for genetic studies. Rationale, unique features, and training. NIMH Genetics Initiative . Arch Gen Psychiatry . 1994 ; 51 : 849 – 59 . Google Scholar Crossref Search ADS PubMed WorldCat 31 Costa PT Jr ., McCrae RR. Personality in adulthood: a six-year longitudinal study of self-reports and spouse ratings on the NEO Personality Inventory . J Pers Soc Psychol . 1988 ; 54 : 853 – 63 . Google Scholar Crossref Search ADS PubMed WorldCat 32 Goldberg LR . The structure of phenotypic personality traits . Am Psychol . 1993 ; 48 : 26 – 34 . Google Scholar Crossref Search ADS PubMed WorldCat 33 Buss AH , Durkee A. An inventory for assessing different kinds of hostility . J Consult Psychol . 1957 ; 21 : 343 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 34 Brown GL , Goodwin FK, Ballenger JC, Goyer PF, Major LF. Aggression in humans correlates with cerebrospinal fluid amine metabolites . Psychiatry Res . 1979 ; 1 : 131 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 35 Barratt ES . Factor Analysis of Some Psychometric Measures of Impulsiveness and Anxiety . Psychol Rep . 1965 ; 16 : 547 – 54 . Google Scholar Crossref Search ADS PubMed WorldCat 36 Potash JB , McMahon FJ, Thomas CJ, et al. The relationship between alcoholism and Bipolar Affective disorder: Association in families of co-morbid probands . Am J Med Genet B Neuropsychiatr Genet . 1999 ; 81 : 491 – 91 . Google Scholar OpenURL Placeholder Text WorldCat 37 Ostacher MJ , Perlis RH, Nierenberg AA, et al. Impact of substance use disorders on recovery from episodes of depression in bipolar disorder patients: prospective data from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) . Am J Psychiatry . 2010 ; 167 : 289 – 97 . Google Scholar Crossref Search ADS PubMed WorldCat 38 Johnson JH , McCutcheon SM. Assessing life stress in older children and adolescents: Preliminary findings with the Life Events Checklist . Stress and anxiety . 1980 ; 7 : 111 – 25 . Google Scholar OpenURL Placeholder Text WorldCat 39 Sibley CG , Fischer R, Liu JH. Reliability and validity of the revised experiences in close relationships (ECR-R) self-report measure of adult romantic attachment . Pers Soc Psychol Bull . 2005 ; 31 : 1524 – 36 . Google Scholar Crossref Search ADS PubMed WorldCat 40 Bernstein DP , Fink L. Childhood trauma questionnaire: A retrospective self-report : Manual , Psychological Corporation , 1998 Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 41 Olson DH , Sprenkle DH, Russell CS. Circumplex model of marital and family system: I. Cohesion and adaptability dimensions, family types, and clinical applications . Fam Process . 1979 ; 18 : 3 – 28 . Google Scholar Crossref Search ADS PubMed WorldCat 42 Rodick JD , Henggeler SW, Hanson CL. An evaluation of the Family Adaptability and Cohesion Evaluation Scales and the Circumplex Model . J Abnorm Child Psychol . 1986 ; 14 : 77 – 87 . Google Scholar Crossref Search ADS PubMed WorldCat 43 Vinokur AD , Van Ryn M. Social support and undermining in close relationships: their independent effects on the mental health of unemployed persons . J Pers Soc Psychol . 1993 ; 65 : 350 . Google Scholar Crossref Search ADS PubMed WorldCat 44 Harvey AG . Sleep and circadian rhythms in bipolar disorder: seeking synchrony, harmony, and regulation . Am J Psychiatry . 2008 ; 165 : 820 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 45 Shi J , Wittke‐Thompson JK, Badner JA, et al. Clock genes may influence bipolar disorder susceptibility and dysfunctional circadian rhythm . Am J Med Genet B Neuropsychiatr Genet . 2008 ; 147 : 1047 – 55 . Google Scholar Crossref Search ADS WorldCat 46 Johns MW . A new method for measuring daytime sleepiness: the Epworth sleepiness scale . Sleep . 1991 ; 14 : 540 – 45 . Google Scholar Crossref Search ADS PubMed WorldCat 47 Roenneberg T , Wirz-Justice A, Merrow M. Life between clocks: daily temporal patterns of human chronotypes . J Biol Rhythms . 2003 ; 18 : 80 – 90 . Google Scholar Crossref Search ADS PubMed WorldCat 48 Hamilton M . A rating scale for depression . J Neurol Neurosurg Psychiatr . 1960 ; 23 : 56 – 62 . Google Scholar Crossref Search ADS WorldCat 49 Young RC , Biggs JT, Ziegler VE, Meyer DA. A rating scale for mania: reliability, validity and sensitivity . Br J Psychiatry . 1978 ; 133 : 429 – 35 . Google Scholar Crossref Search ADS PubMed WorldCat 50 Merikangas KR , Akiskal HS, Angst J, et al. Lifetime and 12-month prevalence of bipolar spectrum disorder in the National Comorbidity Survey replication . Arch Gen Psychiatry . 2007 ; 64 : 543 – 52 . Google Scholar Crossref Search ADS PubMed WorldCat 51 Saunders EF , Nazir R, Kamali M, et al. Gender differences, clinical correlates, and longitudinal outcome of bipolar disorder with comorbid migraine . J Clin Psychiatry . 2014 ; 75 : 512 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 52 Jen A , Saunders EF, Ornstein RM, Kamali M, McInnis MG. Impulsivity, anxiety, and alcohol misuse in bipolar disorder comorbid with eating disorders . Int J Bipolar Disord . 2013 ; 1 : 13 . Google Scholar Crossref Search ADS PubMed WorldCat 53 Marshall DF , Walker SJ, Ryan KA, et al. Greater executive and visual memory dysfunction in comorbid bipolar disorder and substance use disorder . Psychiatry Res . 2012 ; 200 : 252 – 7 . Google Scholar Crossref Search ADS PubMed WorldCat 54 Bly MJ , Taylor SF, Dalack G, et al. Metabolic syndrome in bipolar disorder and schizophrenia: dietary and lifestyle factors compared to the general population . Bipolar Disord . 2014 ; 16 : 277 – 88 . Google Scholar Crossref Search ADS PubMed WorldCat 55 Marshall DF , Passarotti AM, Ryan KA, et al. Deficient inhibitory control as an outcome of childhood trauma . Psychiatry Res . 2015 . Google Scholar OpenURL Placeholder Text WorldCat 56 Evans SJ , Ringrose RN, Harrington GJ, Mancuso P, Burant CF, McInnis MG. Dietary intake and plasma metabolomic analysis of polyunsaturated fatty acids in bipolar subjects reveal dysregulation of linoleic acid metabolism . J Psychiatr Res . 2014 ; 57 : 58 – 64 . Google Scholar Crossref Search ADS PubMed WorldCat 57 Evans SJ , Prossin AR, Harrington GJ, et al. Fats and factors: lipid profiles associate with personality factors and suicidal history in bipolar subjects . PLoS One . 2012 ; 7 : e29297 . Google Scholar Crossref Search ADS PubMed WorldCat 58 Evans SJ , Assari S, Harrington GJ, Chang YW, Burant CF, McInnis MG. Plasma linoleic acid partially mediates the association of bipolar disorder on self-reported mental health scales . J Psychiatr Res . 2015 ; 68 : 61 – 7 . Google Scholar Crossref Search ADS PubMed WorldCat 59 Evans SJ , Kamali M, Prossin AR, et al. Association of plasma omega-3 and omega-6 lipids with burden of disease measures in bipolar subjects . J Psychiatr Res . 2012 ; 46 : 1435 – 41 . Google Scholar Crossref Search ADS PubMed WorldCat 60 Evans SJ , Bassis CM, Hein R, et al. The gut microbiome composition associates with bipolar disorder and illness severity . J Psychiatr Res . 2016 ; 87 : 23 – 29 . Google Scholar Crossref Search ADS PubMed WorldCat 61 Flowers SA , Evans SJ, Ward KM, McInnis MG, Ellingrod VL. Interaction between Atypical Antipsychotics and the Gut Microbiome in a Bipolar Disease Cohort . Pharmacotherapy . 2017 ; 37 : 261 – 67 . Google Scholar Crossref Search ADS PubMed WorldCat 62 Saunders EF , Fernandez-Mendoza J, Kamali M, Assari S, McInnis MG. The effect of poor sleep quality on mood outcome differs between men and women: A longitudinal study of bipolar disorder . J Affect Disord . 2015 ; 180 : 90 – 6 . Google Scholar Crossref Search ADS PubMed WorldCat 63 Saunders EFH , Novick DM, Fernandez-Mendoza J, et al. Sleep quality during euthymia in bipolar disorder: the role of clinical features, personality traits, and stressful life events . Int J Bipolar Disord . 2013 ; 1 : 1 – 12 . Google Scholar Crossref Search ADS PubMed WorldCat 64 Ryan KA , Dawson EL, Kassel MT, et al. Shared dimensions of performance and activation dysfunction in cognitive control in females with mood disorders . Brain . 2015 ; 138 : 1424 – 34 . Google Scholar Crossref Search ADS PubMed WorldCat 65 Langenecker SA , Saunders EF, Kade AM, Ransom MT, McInnis MG. Intermediate cognitive phenotypes in bipolar disorder . J Affect Disord . 2010 ; 122 : 285 – 93 . Google Scholar Crossref Search ADS PubMed WorldCat 66 Ryan KA , Vederman AC, McFadden EM, et al. Differential executive functioning performance by phase of bipolar disorder . Bipolar Disord . 2012 ; 14 : 527 – 36 . Google Scholar Crossref Search ADS PubMed WorldCat 67 Ryan KA , Assari S, Pester BD, et al. Similar Trajectory of Executive Functioning Performance over 5 years among individuals with Bipolar Disorder and Unaffected Controls using Latent Growth Modeling . J Affect Disord . 2016 ; 199 : 87 – 94 . Google Scholar Crossref Search ADS PubMed WorldCat 68 Weisenbach SL , Marshall D, Weldon AL, et al. The double burden of age and disease on cognition and quality of life in bipolar disorder . Int J Geriatr Psychiatry . 2014 . Google Scholar OpenURL Placeholder Text WorldCat 69 Park J , Ayduk O, O’Donnell L, et al. Regulating the High: Cognitive and Neural Processes Underlying Positive Emotion Regulation in Bipolar I Disorder . Clin Psychol Sci . 2014 ; 2 : 661 – 74 . Google Scholar Crossref Search ADS PubMed WorldCat 70 Flowers SA , Ryan KA, Lai Z, McInnis MG, Ellingrod VL. Interaction between COMT rs5993883 and second generation antipsychotics is linked to decreases in verbal cognition and cognitive control in bipolar disorder . BMC Psychol . 2016 ; 4 : 14 . Google Scholar Crossref Search ADS PubMed WorldCat 71 Scott LJ , Muglia P, Kong XQ, et al. Genome-wide association and meta-analysis of bipolar disorder in individuals of European ancestry . Proc Natl Acad Sci USA . 2009 ; 106 : 7501 – 6 . Google Scholar Crossref Search ADS PubMed WorldCat 72 Cross-Disorder Group of the Psychiatric Genomics C , Lee SH, Ripke S, et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs . Nat Genet . 2013 ; 45 : 984 – 94 . Google Scholar Crossref Search ADS PubMed WorldCat 73 Nurnberger JI Jr ., McInnis M, Reich W, et al. A high-risk study of bipolar disorder. Childhood clinical phenotypes as precursors of major mood disorders . Arch Gen Psychiatry . 2011 ; 68 : 1012 – 20 . Google Scholar Crossref Search ADS PubMed WorldCat 74 Fullerton JM , Koller DL, Edenberg HJ, et al. Assessment of first and second degree relatives of individuals with bipolar disorder shows increased genetic risk scores in both affected relatives and young At-Risk Individuals . Am J Med Genet B Neuropsychiatr Genet . 2015 ; 168 : 617 – 29 . Google Scholar Crossref Search ADS PubMed WorldCat 75 Monahan PO , Stump T, Coryell WH, et al. Confirmatory test of two factors and four subtypes of bipolar disorder based on lifetime psychiatric co-morbidity . Psychol Med . 2015 : 1 – 16 . Google Scholar OpenURL Placeholder Text WorldCat 76 Chen HM , DeLong CJ, Bame M, et al. Transcripts involved in calcium signaling and telencephalic neuronal fate are altered in induced pluripotent stem cells from bipolar disorder patients . Transl Psychiatry . 2014 ; 4 : e375 . Google Scholar Crossref Search ADS PubMed WorldCat 77 O’Shea KS , McInnis MG. Induced pluripotent stem cell (iPSC) models of bipolar disorder . Neuropsychopharmacology . 2015 ; 40 : 248 – 9 . Google Scholar Crossref Search ADS PubMed WorldCat 78 O’Shea KS , McInnis MG. Neurodevelopmental origins of bipolar disorder: iPSC models . Mol Cell Neurosci . 2016 ; 73 : 63 – 83 . Google Scholar Crossref Search ADS PubMed WorldCat 79 Bame M , McInnis MG, O’Shea KS. MicroRNA dysregulation in an induced pluripotent stem cell model of bipolar disorder. Society for Neuroscience Annual Meeting ; San Diego : Society for Neuroscience ; 2016 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 80 DeLong CJ , Bame M, Williams A, et al. Modeling Psychiatric Disease from iPS Cells . Society for Neuroscience Annual Meeting San Diego : Society for Neuroscience ; 2016 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 81 Cochran AL , McInnis MG, Forger DB. Data-driven classification of bipolar I disorder from longitudinal course of mood . Transl Psychiatry . 2016 ; 6 : e912 . Google Scholar Crossref Search ADS PubMed WorldCat 82 Gideon J , Provost EM, McInnis M. Mood State Prediction from Speech of Varying Acoustic Quality for Individuals with Bipolar Disorder . Proc IEEE Int Conf Acoust Speech Signal Process . 2016 ; 2016 : 2359 – 63 . Google Scholar PubMed OpenURL Placeholder Text WorldCat 83 Tsuchiya KJ , Agerbo E, Byrne M, Mortensen PB. Higher socio-economic status of parents may increase risk for bipolar disorder in the offspring . Psychol Med . 2004 ; 34 : 787 – 93 . Google Scholar Crossref Search ADS PubMed WorldCat 84 Eid L , Heim K, Doucette S, McCloskey S, Duffy A, Grof P. Bipolar disorder and socioeconomic status: what is the nature of this relationship? Int J Bipolar Disord 2013 ; 1 : 1 . Google Scholar Crossref Search ADS PubMed WorldCat 85 Perlis RH , Ostacher MJ, Patel JK, et al. Predictors of recurrence in bipolar disorder: primary outcomes from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) . Am J Psychiatry . 2006 ; 163 : 217 – 24 . Google Scholar Crossref Search ADS PubMed WorldCat 86 Nierenberg AA , Friedman ES, Bowden CL, et al. Lithium Treatment Moderate-Dose Use Study (LiTMUS) for Bipolar Disorder: A Randomized Comparative Effectiveness Trial of Optimized Personalized Treatment With and Without Lithium . Am J Psychiatry . 2013 ; 170 : 102 – 10 . Google Scholar Crossref Search ADS PubMed WorldCat 87 Post RM , Leverich GS, Altshuler LL, et al. An overview of recent findings of the Stanley Foundation Bipolar Network (Part I) . Bipolar Disord . 2003 ; 5 : 310 – 19 . Google Scholar Crossref Search ADS PubMed WorldCat 88 Olson DH , Portner J, Bell R. FACES II: Family Adaptability and Cohesion Evaluations Scales . Unpublished manuscript, Family Social Science, University of Minnesota . 1983 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 89 Altshuler L , Mintz J, Leight K. The Life Functioning Questionnaire (LFQ): a brief, gender-neutral scale assessing functional outcome . Psychiatry Res . 2002 ; 112 : 161 – 82 . Google Scholar Crossref Search ADS PubMed WorldCat 90 Horvath AO , Greenberg LS. Development and validation of the Working Alliance Inventory . Journal of counseling psychology . 1989 ; 36 : 223 . Google Scholar Crossref Search ADS WorldCat 91 Wechsler D . Wechsler abbreviated scale of intelligence , Psychological Corporation , 1999 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 92 Delis DC , Freeland J, Kramer JH, Kaplan E. Integrating clinical assessment with cognitive neuroscience: construct validation of the California Verbal Learning Test . J Consult Clin Psychol . 1988 ; 56 : 123 . Google Scholar Crossref Search ADS PubMed WorldCat 93 Rey A . L’examen psychologique dans les cas d’encéphalopathie traumatique.(Les problems.) . Archives de psychologie . 1941 . Google Scholar OpenURL Placeholder Text WorldCat 94 Osterrieth PA . Le test de copie d’une figure complexe; contribution à l’étude de la perception et de la mémoire . Archives de psychologie . 1944 . Google Scholar OpenURL Placeholder Text WorldCat 95 Levin HS , Hamsher KS, Benton AL. A short form of the Test of Facial Recognition for clinical use . The Journal of Psychology . 1975 ; 91 : 223 – 28 . Google Scholar Crossref Search ADS WorldCat 96 Green PW , Allen LM. The Emotion Perception Test . Durham, NC , CogniSyst Inc , 1997 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC 97 Tiffin J , Asher EJ. The Purdue Pegboard: norms and studies of reliability and validity . Journal of applied psychology . 1948 ; 32 : 234 . Google Scholar Crossref Search ADS PubMed WorldCat 98 White MJ . Response selection and visual search . Bulletin of the Psychonomic Society . 1981 . Google Scholar OpenURL Placeholder Text WorldCat 99 Stroop JR . Studies of interference in serial verbal reactions . Journal of Experimental Psychology . 1935 ; 18 : 643 . Google Scholar Crossref Search ADS WorldCat 100 Reiten RM . The relation of trail making test to organic brain damage . J Consult Psychol . 1955 ; 10 : 76 – 88 . Google Scholar OpenURL Placeholder Text WorldCat 101 Berg EA . A simple objective technique for measuring flexibility in thinking . The Journal of general psychology . 1948 ; 39 : 15 – 22 . Google Scholar Crossref Search ADS PubMed WorldCat 102 K . Warrington Pat McKenna Lisa Orpwood E. Single word comprehension: a concrete and abstract word synonym test . Neuropsychological Rehabilitation . 1998 ; 8 : 143 – 54 . Google Scholar Crossref Search ADS WorldCat 103 Rees LM , Tombaugh TN, Boulay L. Depression and the Test of Memory Malingering . Arch Clin Neuropsychol . 2001 ; 16 : 501 – 6 . Google Scholar Crossref Search ADS PubMed WorldCat © The Author 2017. Published by Oxford University Press on behalf of the International Epidemiological Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com © The Author 2017. Published by Oxford University Press on behalf of the International Epidemiological Association.

Journal

International Journal of EpidemiologyOxford University Press

Published: Feb 1, 2018

Keywords: genetics; phenotype; depressive disorders; comorbidity; follow-up

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