Polygenic risk score and risk factors for gestational diabetes Journal Article


Authors: Perišić, M. M.; Vladimir, K.; Karpov, S.; Štorga, M.; Mostashari, A.; Khanin, R.
Article Title: Polygenic risk score and risk factors for gestational diabetes
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 GDM and investigate relationships between its genetic architecture and genetically constructed risk factors and biomarkers. Our results demonstrate that the polygenic risk score can be used as an early screening tool that identifies women at higher risk of GDM before its onset allowing comprehensive monitoring and preventative programs to mitigate the risks. © 2022 by the authors.
Keywords: pregnancy; machine learning; gwas; polygenic risk score; gestational diabetes
Journal Title: Journal of Personalized Medicine
Volume: 12
Issue: 9
ISSN: 2075-4426
Publisher: MDPI  
Date Published: 2022-09-01
Start Page: 1381
Language: English
DOI: 10.3390/jpm12091381
PROVIDER: scopus
PMCID: PMC9505112
PUBMED: 36143166
DOI/URL:
Notes: Article -- Export Date: 1 November 2022 -- Source: Scopus
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  1. Raya Khanin
    46 Khanin