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

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.

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Detalles Bibliográficos
Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/32799b23a5074a0f8b6b2e7ac5c1cd6b
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spelling	oai:doaj.org-article:32799b23a5074a0f8b6b2e7ac5c1cd6b2021-12-02T14:38:48ZGenome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes10.1038/s41467-018-04951-w2041-1723https://doaj.org/article/32799b23a5074a0f8b6b2e7ac5c1cd6b2018-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-04951-whttps://doaj.org/toc/2041-1723GWAS 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.Angli XueYang WuZhihong ZhuFutao ZhangKathryn E. KemperZhili ZhengLoic YengoLuke R. Lloyd-JonesJulia SidorenkoYeda WueQTLGen ConsortiumAllan F. McRaePeter M. VisscherJian ZengJian YangNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
description	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.
format	article
author	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
author_facet	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
author_sort	Angli Xue
title	Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
title_short	Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
title_full	Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
title_fullStr	Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
title_full_unstemmed	Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
title_sort	genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/32799b23a5074a0f8b6b2e7ac5c1cd6b
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Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes

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