RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2022

Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes

0 Datasets

0 Files

en
2022
Vol 31 (19)
Vol. 31
DOI: 10.1093/hmg/ddac050

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Paul M Ridker
Paul M Ridker

Harvard University

Verified
Natalia Pervjakova
Gunn-Helen Moen
Maria Carolina Borges
+70 more

Abstract

Gestational diabetes mellitus (GDM) is associated with increased risk of pregnancy complications and adverse perinatal outcomes. GDM often reoccurs and is associated with increased risk of subsequent diagnosis of type 2 diabetes (T2D). To improve our understanding of the aetiological factors and molecular processes driving the occurrence of GDM, including the extent to which these overlap with T2D pathophysiology, the GENetics of Diabetes In Pregnancy Consortium assembled genome-wide association studies of diverse ancestry in a total of 5485 women with GDM and 347 856 without GDM. Through multi-ancestry meta-analysis, we identified five loci with genome-wide significant association (P < 5 × 10-8) with GDM, mapping to/near MTNR1B (P = 4.3 × 10-54), TCF7L2 (P = 4.0 × 10-16), CDKAL1 (P = 1.6 × 10-14), CDKN2A-CDKN2B (P = 4.1 × 10-9) and HKDC1 (P = 2.9 × 10-8). Multiple lines of evidence pointed to the shared pathophysiology of GDM and T2D: (i) four of the five GDM loci (not HKDC1) have been previously reported at genome-wide significance for T2D; (ii) significant enrichment for associations with GDM at previously reported T2D loci; (iii) strong genetic correlation between GDM and T2D and (iv) enrichment of GDM associations mapping to genomic annotations in diabetes-relevant tissues and transcription factor binding sites. Mendelian randomization analyses demonstrated significant causal association (5% false discovery rate) of higher body mass index on increased GDM risk. Our results provide support for the hypothesis that GDM and T2D are part of the same underlying pathology but that, as exemplified by the HKDC1 locus, there are genetic determinants of GDM that are specific to glucose regulation in pregnancy.

How to cite this publication

Natalia Pervjakova, Gunn-Helen Moen, Maria Carolina Borges, Teresa Ferreira, James P. Cook, Catherine Allard, Robin N. Beaumont, Mickaël Canouil, Gad Hatem, Anni Heiskala, Anni Joensuu, Ville Karhunen, Soo Heon Kwak, Frederick T. J. Lin, Jun Liu, Sheryl L. Rifas‐Shiman, Claudia H.T. Tam, Wing Hung Tam, Guðmar Þorleifsson, Toby Andrew, Juha Auvinen, Bishwajit Bhowmik, Amélie Bonnefond, Fabien Delahaye, Ayşe Demirkan, Philippe Froguel, Kadri Haller‐Kikkatalo, Hildur Harðardóttir, Sandra Hummel, Akhtar Hussain, Eero Kajantie, Elina Keikkala, Amna Khamis, Jari Lahti, Tove Lekva, Sanna Mustaniemi, Christine Sommer, Aili Tagoma, Evangelia Tzala, Raivo Uibo, Marja Vääräsmäki, Pia Villa, Kåre I. Birkeland, Luigi Bouchard, Cornelia M. van Duijn, Sarah Finer, Leif Groop, Esa Hämäläinen, Geoffrey Hayes, G. A. Hitman, Hak Chul Jang, Paul M Ridker, Anne Karen Jenum, Hannele Laivuori, Ronald C.W., Olle Melander, Emily Oken, Kyong Soo Park, Patrice Perron, Rashmi B. Prasad, Elisabeth Qvigstad, Sylvain Sebért, Kāri Stefánsson, Valgerður Steinthórsdóttir, Jaakko Tuomilehto, Marie‐France Hivert, Paul W. Franks, Mark I. McCarthy, Cecilia M. Lindgren, Rachel M. Freathy, Debbie A. Lawlor, Andrew P. Morris, Reedik Mägi (2022). Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. , 31(19), DOI: https://doi.org/10.1093/hmg/ddac050.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2022

Authors

73

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1093/hmg/ddac050

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access