Scientific Reports (Mar 2023)

A polygenic and family risk score are both independently associated with risk of type 2 diabetes in a population-based study

  • Elena Duschek,
  • Lukas Forer,
  • Sebastian Schönherr,
  • Christian Gieger,
  • Annette Peters,
  • Florian Kronenberg,
  • Harald Grallert,
  • Claudia Lamina

DOI
https://doi.org/10.1038/s41598-023-31496-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 9

Abstract

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Abstract 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 (r2 Spearman = 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.