The trans-ancestral genomic architecture of glycemic traits

J. Chen, C.N. Spracklen, G. Marenne, A. Varshney, L.J. Corbin, J. Luan, S.M. Willems, Y. Wu, E.B. van den Akker, More Authors

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

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 × 10−8), 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.
Original languageEnglish
Pages (from-to)840-860
Number of pages21
JournalNature Genetics
Volume53
Issue number6
DOIs
Publication statusPublished - 2021

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