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

Angli 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

doi:10.1038/s41467-018-04951-w

Nature Communications (Jul 2018)

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

Angli 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

Affiliations

Angli Xue: Institute for Molecular Bioscience, The University of Queensland
Yang Wu: Institute for Molecular Bioscience, The University of Queensland
Zhihong Zhu: Institute for Molecular Bioscience, The University of Queensland
Futao Zhang: Institute for Molecular Bioscience, The University of Queensland
Kathryn E. Kemper: Institute for Molecular Bioscience, The University of Queensland
Zhili Zheng: Institute for Molecular Bioscience, The University of Queensland
Loic Yengo: Institute for Molecular Bioscience, The University of Queensland
Luke R. Lloyd-Jones: Institute for Molecular Bioscience, The University of Queensland
Julia Sidorenko: Institute for Molecular Bioscience, The University of Queensland
Yeda Wu: Institute for Molecular Bioscience, The University of Queensland
eQTLGen Consortium
Allan F. McRae: Institute for Molecular Bioscience, The University of Queensland
Peter M. Visscher: Institute for Molecular Bioscience, The University of Queensland
Jian Zeng: Institute for Molecular Bioscience, The University of Queensland
Jian Yang: Institute for Molecular Bioscience, The University of Queensland

DOI: https://doi.org/10.1038/s41467-018-04951-w
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 14

Abstract

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GWAS have so far identified 129 loci associated with type 2 diabetes (T2D). Here, the authors meta-analyse three large T2D GWA studies which uncovers 42 additional loci, further prioritize 33 functional genes using eQTL and mQTL data and propose regulatory mechanisms for three putative T2D genes.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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