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BioMed Research International
Volume 2017, Article ID 1758636, 4 pages
https://doi.org/10.1155/2017/1758636
Research Article

Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes

Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China

Correspondence should be addressed to Feng Zhang; nc.ude.utjx@utjxhzf

Received 29 March 2017; Accepted 24 May 2017; Published 28 June 2017

Academic Editor: Rosaria Scudiero

Copyright © 2017 Xiao Liang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xiao Liang, Awen He, Wenyu Wang, et al., “Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes,” BioMed Research International, vol. 2017, Article ID 1758636, 4 pages, 2017. https://doi.org/10.1155/2017/1758636.