Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Polygenic Risk Score and Risk Factors for Gestational Diabetes

Version 1 : Received: 19 July 2022 / Approved: 20 July 2022 / Online: 20 July 2022 (12:09:41 CEST)

A peer-reviewed article of this Preprint also exists.

Perišić, M.M.; Vladimir, K.; Karpov, S.; Štorga, M.; Mostashari, A.; Khanin, R. Polygenic Risk Score and Risk Factors for Gestational Diabetes. J. Pers. Med. 2022, 12, 1381. Perišić, M.M.; Vladimir, K.; Karpov, S.; Štorga, M.; Mostashari, A.; Khanin, R. Polygenic Risk Score and Risk Factors for Gestational Diabetes. J. Pers. Med. 2022, 12, 1381.

Abstract

Gestational diabetes mellitus (GDM) is a common complication of pregnancy that adversely affects maternal and offspring health. A variety of risk factors, such as BMI and age, have been associated with increased risks of gestational diabetes. However, in many cases gestational diabetes occurs in healthy nulliparous women with no obvious risk factors. Emerging data suggest that the tendency to develop gestational diabetes has genetic and environmental components. Here we develop a polygenic risk score for gestational diabetes. We further investigate relationships between the genetic architecture of GDM and genetically constructed risk factors and biomarkers. Our results show that genetics can be used as an early screening tool that identifies at-risk at higher risk of GDM before its onset to propose comprehensive monitoring and preventative programs to mitigate the risks.

Keywords

gestational diabetes; pregnancy; polygenic risk score; gwas; machine learning

Subject

Medicine and Pharmacology, Obstetrics and Gynaecology

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