A1 Refereed original research article in a scientific journal

Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes




AuthorsAngli Xue, Yang Wu, Zhihong Zhu, Futao Zhang, Kathryn E. Kemper, Zhili Zheng, Loic Yengo, Luke R. Lloyd-Jones, Julia Sidorenko, Yeda Wu; eQTLGen Consortium, Allan F. McRae, Peter M. Visscher, Jian Zeng & Jian Yang

PublisherNature Publishing Group

Publication year2018

JournalNature Communications

Journal name in sourceNature Communications

Volume9

Issue1

Number of pages14

ISSN2041-1723

eISSN2041-1723

DOIhttps://doi.org/10.1038/s41467-018-04951-w

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/35677836


Abstract

Type 2 diabetes (T2D) is a very common disease in humans. Here we conduct a meta-analysis of genome-wide association studies (GWAS) with ~16 million genetic variants in 62,892 T2D cases and 596,424 controls of European ancestry. We identify 139 common and 4 rare variants associated with T2D, 42 of which (39 common and 3 rare variants) are independent of the known variants. Integration of the gene expression data from blood (n = 14,115 and 2765) with the GWAS results identifies 33 putative functional genes for T2D, 3 of which were targeted by approved drugs. A further integration of DNA methylation (n = 1980) and epigenomic annotation data highlight 3 genes (CAMK1D, TP53INP1, and ATP5G1) with plausible regulatory mechanisms, whereby a genetic variant exerts an effect on T2D through epigenetic regulation of gene expression. Our study uncovers additional loci, proposes putative genetic regulatory mechanisms for T2D, and provides evidence of purifying selection for T2D-associated variants.


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