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GWAS Study

Genetic determinants of glucose levels in pregnancy: genetic risk scores analysis and GWAS in the Norwegian STORK cohort

Moen GH, LeBlanc M, Sommer C et al.

30324795 PubMed ID
GWAS Study Type
517 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

MG
Moen GH
LM
LeBlanc M
SC
Sommer C
PR
Prasad RB
LT
Lekva T
NK
Normann KR
QE
Qvigstad E
GL
Groop L
BK
Birkeland KI
ED
Evans DM
FK
Frøslie KF
Chapter II

Abstract

Summary of the research findings

Objective Hyperglycaemia during pregnancy increases the risk of adverse health outcomes in mother and child, but the genetic aetiology is scarcely studied. Our aims were to (1) assess the overlapping genetic aetiology between the pregnant and non-pregnant population and (2) assess the importance of genome-wide polygenic contributions to glucose traits during pregnancy, by exploring whether genetic risk scores (GRSs) for fasting glucose (FG), 2-h glucose (2hG), type 2 diabetes (T2D) and BMI in non-pregnant individuals were associated with glucose measures in pregnant women. Methods We genotyped 529 Norwegian pregnant women and constructed GRS from known genome-wide significant variants and SNPs weakly associated (p > 5 × 10-8) with FG, 2hG, BMI and T2D from external genome-wide association studies (GWAS) and examined the association between these scores and glucose measures at gestational weeks 14-16 and 30-32. We also performed GWAS of FG, 2hG and shape information from the glucose curve during an oral glucose tolerance test (OGTT). Results GRSFG explained similar variance during pregnancy as in the non-pregnant population (~5%). GRSBMI and GRST2D explained up to 1.3% of the variation in the glucose traits in pregnancy. If we included variants more weakly associated with these traits, GRS2hG and GRST2D explained up to 2.4% of the variation in the glucose traits in pregnancy, highlighting the importance of polygenic contributions. Conclusions Our results suggest overlap in the genetic aetiology of FG in pregnant and non-pregnant individuals. This was less apparent with 2hG, suggesting potential differences in postprandial glucose metabolism inside and outside of pregnancy.

517 Scandinavian ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

517
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Norway
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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