Genetic bases of human comorbidity

Genetic bases of human comorbidity In this review, the development of ideas focused on the phenomenon of disease combination (comorbidity) in humans is discussed. The genetic bases of the three forms of the phenomenon, comorbidity (syntropias), inverse comorbidity (dystropias), and comorbidity of Mendelian and multifactorial diseases, are analyzed. The results of personal genome-wide association studies of the genetic risk profile that may predispose an individual to cardiovascular disease continuum (CDC), including coronary heart disease, type 2 diabetes, hypertension, and hypercholesterolemia (CDC syntropy), as well as the results of bioinformatic analysis of common genes and the networks of molecular interactions for two (bronchial asthma and pulmonary tuberculosis) diseases rarely found in one patient (dystropy), are presented. The importance of the diseasome and network medicine concepts in the study of comorbidity is emphasized. Promising areas in genomic studies of comorbidities for disease classification and the development of personalized medicine are designated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

Genetic bases of human comorbidity

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Publisher
Pleiades Publishing
Copyright
Copyright © 2015 by Pleiades Publishing, Inc.
Subject
Biomedicine; Human Genetics; Animal Genetics and Genomics; Microbial Genetics and Genomics
ISSN
1022-7954
eISSN
1608-3369
D.O.I.
10.1134/S1022795415040092
Publisher site
See Article on Publisher Site

Abstract

In this review, the development of ideas focused on the phenomenon of disease combination (comorbidity) in humans is discussed. The genetic bases of the three forms of the phenomenon, comorbidity (syntropias), inverse comorbidity (dystropias), and comorbidity of Mendelian and multifactorial diseases, are analyzed. The results of personal genome-wide association studies of the genetic risk profile that may predispose an individual to cardiovascular disease continuum (CDC), including coronary heart disease, type 2 diabetes, hypertension, and hypercholesterolemia (CDC syntropy), as well as the results of bioinformatic analysis of common genes and the networks of molecular interactions for two (bronchial asthma and pulmonary tuberculosis) diseases rarely found in one patient (dystropy), are presented. The importance of the diseasome and network medicine concepts in the study of comorbidity is emphasized. Promising areas in genomic studies of comorbidities for disease classification and the development of personalized medicine are designated.

Journal

Russian Journal of GeneticsSpringer Journals

Published: Apr 21, 2015

References

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