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GWAS Study

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

Pervjakova N, Moen GH, Borges MC et al.

35220425 PubMed ID
GWAS Study Type
358736 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

PN
Pervjakova N
MG
Moen GH
BM
Borges MC
FT
Ferreira T
CJ
Cook JP
AC
Allard C
BR
Beaumont RN
CM
Canouil M
HG
Hatem G
HA
Heiskala A
JA
Joensuu A
KV
Karhunen V
KS
Kwak SH
LF
Lin FTJ
LJ
Liu J
RS
Rifas-Shiman S
TC
Tam CH
TW
Tam WH
TG
Thorleifsson G
AT
Andrew T
AJ
Auvinen J
BB
Bhowmik B
BA
Bonnefond A
DF
Delahaye F
DA
Demirkan A
FP
Froguel P
HK
Haller-Kikkatalo K
HH
Hardardottir H
HS
Hummel S
HA
Hussain A
KE
Kajantie E
KE
Keikkala E
KA
Khamis A
LJ
Lahti J
LT
Lekva T
MS
Mustaniemi S
SC
Sommer C
TA
Tagoma A
TE
Tzala E
UR
Uibo R
VM
Vääräsmäki M
VP
Villa PM
BK
Birkeland KI
BL
Bouchard L
DC
Duijn CM
FS
Finer S
GL
Groop L
HE
Hämäläinen E
HG
Hayes GM
HG
Hitman GA
JH
Jang HC
JM
Järvelin MR
JA
Jenum AK
LH
Laivuori H
MR
Ma RC
MO
Melander O
OE
Oken E
PK
Park KS
PP
Perron P
PR
Prasad RB
QE
Qvigstad E
SS
Sebert S
SK
Stefansson K
SV
Steinthorsdottir V
TT
Tuomi T
HM
Hivert MF
FP
Franks PW
MM
McCarthy MI
LC
Lindgren CM
FR
Freathy RM
LD
Lawlor DA
MA
Morris AP
MR
Mägi R
Chapter II

Abstract

Summary of the research findings

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.

91 African American cases, up to 985 African American controls, 867 East Asian ancestry cases, up to 2,984 East Asian ancestry controls, 3,780 European ancestry cases, up to 344,902 European ancestry controls, 174 Hispanic American cases, up to 619 Hispanic American controls, 573 South Asian ancestry cases, up to 3,761 South Asian ancestry controls

Chapter III

Study Statistics

Key metrics and study information

358736
Total Participants
GWAS
Study Type
No
Replicated
African American or Afro-Caribbean, East Asian, European, Hispanic or Latin American, South Asian
Ancestry
U.S., Thailand, Republic of Korea, Canada, Sweden, Netherlands, Norway, Finland, U.K., Iceland, Estonia, Bangladesh
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Analysis In Progress

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