Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
Published in Nature Communications, 2018
Recommended citation: Angli Xue*, Yang Wu*, Zhihong Zhu, Futao Zhang, Kathryn E Kemper, Zhili Zheng, …, Jian Zeng#, Jian Yang#. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nature Communications. 12, 6450 (2018). https://www.nature.com/articles/s41467-018-04951-w
Citation: 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. Nature Communications. 12, 6450 (2018).