Genetic risk scores in the prediction of plasma glucose, impaired insulin secretion, insulin resistance and incident type 2 diabetes in the METSIM study

Genetic risk scores in the prediction of plasma glucose, impaired insulin secretion, insulin... T2D FPG IS Aims/hypothesis Many SNPs have been associated with increase in FPG, GRS with an increase in glucose AUC T2D glycaemic traits and type 2 diabetes, but their joint effects on and a decrease in insulin secretion, and GRS with an 2hPG glycaemic traits and the underlying mechanisms leading to increase in 2hPG during the follow-up (p < 0.0017 for all hyperglycaemia over time are largely unknown. We aimed models). GRS ,GRS and GRS were associated with T2D FPG IS to investigate the association of six genetic risk scores incident type 2 diabetes (p < 0.008 for all models). GRS BMI (GRSs) with changes in plasma glucose, insulin sensitivity, and GRS were not significantly associated with any changes IR insulin secretion and incident type 2 diabetes in the prospec- in glycaemic traits. Conclusions/interpretation In the METSIM follow-up study, tive METabolic Syndrome In Men (METSIM) study. Methods We generated weighted GRSs for fasting plasma GRS ,GRS and GRS were associated with the wors- T2D FPG IS glucose ([FPG] GRS , 35 SNPs), 2 h plasma glucose ening of FPG and an increase in incident type 2 diabetes. FPG ([2hPG] GRS , 9 SNPs), insulin secretion (GRS ,17 GRS was http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Diabetologia Springer Journals

Genetic risk scores in the prediction of plasma glucose, impaired insulin secretion, insulin resistance and incident type 2 diabetes in the METSIM study

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag Berlin Heidelberg
Subject
Medicine & Public Health; Internal Medicine; Metabolic Diseases; Human Physiology
ISSN
0012-186X
eISSN
1432-0428
D.O.I.
10.1007/s00125-017-4313-4
Publisher site
See Article on Publisher Site

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