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A polygenic and family risk score are both independently associated with risk of type 2 diabetes in a population-based study.
Sci. Rep. 13:4805 (2023)
The availability of polygenic scores for type 2 diabetes (T2D) raises the question, whether assessing family history might become redundant. However, family history not only involves shared genetics, but also shared environment. It was the aim of this study to assess the independent and combined effects of one family risk score (FamRS) and a polygenic score (PGS) on prevalent and incident T2D risk in a population-based study from Germany (n = 3071). The study was conducted in 2004/2005 with up to 12 years of follow-up. The FamRS takes into account not only the number of diseased first grade relatives, but also age at onset of the relatives and age of participants. 256 prevalent and additional 163 incident T2D cases were recorded. Prevalence of T2D increased sharply for those within the top quantile of the PGS distribution resulting in an OR of 19.16 (p < 2 × 10-16) for the top 20% compared to the remainder of the population, independent of age, sex, BMI, physical activity and FamRS. On the other hand, having a very strong family risk compared to average was still associated with an OR of 2.78 (p = 0.001), independent of the aforementioned factors and the PGS. The PGS and FamRS were only slightly correlated (r2Spearman = 0.018). The combined contribution of both factors varied with varying age-groups, though, with decreasing influence of the PGS with increasing age. To conclude, both, genetic information and family history are relevant for the prediction of T2D risk and might be used for identification of high risk groups to personalize prevention measures.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Life-style; History; Prediction; Disease; Heritability; Mellitus
ISSN (print) / ISBN
2045-2322
e-ISSN
2045-2322
Journal
Scientific Reports
Quellenangaben
Volume: 13,
Issue: 1,
Article Number: 4805
Publisher
Nature Publishing Group
Publishing Place
London
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology II (EPI2)
Grants
Bavarian State Ministry of Health and Care through the research project DigiMed Bayern
State of Bavaria
Helmholtz Zentrum Muenchen - GermanResearch Center for Environmental Health - German Federal Ministry of Education and Research (BMBF)
State of Bavaria
Helmholtz Zentrum Muenchen - GermanResearch Center for Environmental Health - German Federal Ministry of Education and Research (BMBF)