The trans-ancestral genomic architecture of glycemic traits.
Details
Download: 34059833_BIB_53C688CA509F.pdf (5574.63 [Ko])
State: Public
Version: Author's accepted manuscript
License: Not specified
State: Public
Version: Author's accepted manuscript
License: Not specified
Serval ID
serval:BIB_53C688CA509F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The trans-ancestral genomic architecture of glycemic traits.
Journal
Nature genetics
Working group(s)
Lifelines Cohort Study, Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC)
Contributor(s)
de Haan H.G., van den Akker E., van der Most P.J., de Geus EJC, van Dam R.M., van Heemst D., van Hylckama Vlieg A., van Willems van Dijk K., de Silva H.J., van der Harst P., van Duijn C.
ISSN
1546-1718 (Electronic)
ISSN-L
1061-4036
Publication state
Published
Issued date
06/2021
Peer-reviewed
Oui
Volume
53
Number
6
Pages
840-860
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 × 10 <sup>-8</sup> ), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.
Keywords
Alleles, Blood Glucose/genetics, Epigenesis, Genetic, European Continental Ancestry Group/genetics, Gene Expression Profiling, Genome, Human, Genome-Wide Association Study, Glycated Hemoglobin A/metabolism, Humans, Multifactorial Inheritance/genetics, Physical Chromosome Mapping, Quantitative Trait Loci/genetics, Quantitative Trait, Heritable
Pubmed
Web of science
Create date
11/06/2021 17:02
Last modification date
14/01/2022 7:09