42 A polygenic risk score associated with gestational diabetes mellitus

Abstract Abstract: Introduction Gestational diabetes mellitus (GDM) is a state of hyperglycemia during pregnancy. GDM can increase risk of birth complications, and subsequent type 2 diabetes mellitus in the mother and offspring. Risk factors such as diet, BMI, and family history have demonstrated strong association with GDM but no clear pathophysiology has been ascertained. Methods A diagnosis of GDM was abstracted from participant medical records. Analysis was conducted on 41 women with and 320 without GDM. Genotypes of 7 genetic variants were available. Additive and dominant genetic models were evaluated by chi-square and multivariate logistic regression methods. A genetic risk score comprised of total risk alleles among the 7 variants was also evaluated. Results Multivariate logistic regression showed significant, independent, positive associations between body-mass index (BMI), age, the posited genetic risk score and GDM. Genetic variant rs1421085 was associated with GDM in multivariate analysis (OR 2.12, 1.08-4.15, p = 0.029. The polygenic risk score showed association with GDM, odds ratio 1.27, 95% CI 1.09 - 1.48, p = 0.003. Discussion This relatively small cohort replicated a previously proposed polygenic risk score, as well as established risk factors for GDM (age and BMI). A previous meta-analysis in the literature reported a degree of heterogeneity between the 3 large cohorts analyzed, suggesting that the effect of these variants may differ according to genetic background. Conclusion We validate a previously published polygenic risk score for GDM in an ethically unrelated population. (Supported by NIGMS P20GM103442)

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Journal
Journal of Animal Science
Published
2025-12-19
DOI
https://doi.org/10.1093/jas/skaf398.035
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

42 A polygenic risk score associated with gestational diabetes mellitus

Shelby L. Poitra, S. Miles Standish, Kelsey J. Morin, Kathryn A. Peterson et al.
Journal of Animal Science
Gestational Diabetes Research and Management
article

42 A polygenic risk score associated with gestational diabetes mellitus

Shelby L. Poitra, S. Miles Standish, Kelsey J. Morin, Kathryn A. Peterson, Lyle G. Best, H Davis, Crystal Azure, Shyanna LaRocque, Tyler J. Parisien, Tia Azure, Kennedy Gourneau, Craig Poitra
article en

Abstract

Abstract Abstract: Introduction Gestational diabetes mellitus (GDM) is a state of hyperglycemia during pregnancy. GDM can increase risk of birth complications, and subsequent type 2 diabetes mellitus in the mother and offspring. Risk factors such as diet, BMI, and family history have demonstrated strong association with GDM but no clear pathophysiology has been ascertained. Methods A diagnosis of GDM was abstracted from participant medical records. Analysis was conducted on 41 women with and 320 without GDM. Genotypes of 7 genetic variants were available. Additive and dominant genetic models were evaluated by chi-square and multivariate logistic regression methods. A genetic risk score comprised of total risk alleles among the 7 variants was also evaluated. Results Multivariate logistic regression showed significant, independent, positive associations between body-mass index (BMI), age, the posited genetic risk score and GDM. Genetic variant rs1421085 was associated with GDM in multivariate analysis (OR 2.12, 1.08-4.15, p = 0.029. The polygenic risk score showed association with GDM, odds ratio 1.27, 95% CI 1.09 - 1.48, p = 0.003. Discussion This relatively small cohort replicated a previously proposed polygenic risk score, as well as established risk factors for GDM (age and BMI). A previous meta-analysis in the literature reported a degree of heterogeneity between the 3 large cohorts analyzed, suggesting that the effect of these variants may differ according to genetic background. Conclusion We validate a previously published polygenic risk score for GDM in an ethically unrelated population. (Supported by NIGMS P20GM103442)

Journal of Animal ScienceVol. 104(Supplement_1)
University of North Dakota (US), Turtle Mountain Community College (US)
National Institute of General Medical Sciences
Openalex Percentile: Top 48%
Gestational Diabetes Research and Management
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