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

A Xue; Y Wu; Z Zhu; Joost Verlouw; Joyce van Meurs; F Zhang; KE Kemper; Z Zheng

doi:10.1038/s41467-018-04951-w

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

A Xue
, Y Wu
, Z Zhu
, Joost Verlouw
, Joyce van Meurs
, F Zhang
, KE Kemper
, Z Zheng

Internal Medicine

Research output: Contribution to journal › Article › Academic › peer-review

628 Citations (Scopus)

43 Downloads (Pure)

Original language	Undefined/Unknown
Article number	2941
Journal	Nature Communications
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41467-018-04951-w
Publication status	Published - 2018

Research programs

EMC OR-01

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s41467-018-04951-w

RePub-109657-OA.pdfFinal published version, 3.54 MB

http://hdl.handle.net/1765/109657

Cite this

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

author = "A Xue and Y Wu and Z Zhu and Joost Verlouw and \{van Meurs\}, Joyce and F Zhang and KE Kemper and Z Zheng",

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volume = "9",

journal = "Nature Communications",

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AU - Xue, A

AU - Wu, Y

AU - Zhu, Z

AU - Verlouw, Joost

AU - van Meurs, Joyce

AU - Zhang, F

AU - Kemper, KE

AU - Zheng, Z

PY - 2018

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SN - 2041-1723

VL - 9

JO - Nature Communications

JF - Nature Communications

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