Computational analyses of type 2 diabetes-associated loci identified by genome-wide association studies-Reference-Cited by-同舟云学术

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Computational analyses of type 2 diabetes-associated loci identified by genome-wide association studies

Published:2016-07-27 Issue:4 Volume:9 Page:362-377
ISSN:1753-0393
Container-title:Journal of Diabetes
language:en
Short-container-title:Journal of Diabetes

Author:

Cheng Mengrong¹,Liu Xinhong¹,Yang Mei¹,Han Lanchun¹²,Xu Aimin³,Huang Qingyang¹²

Affiliation:

1. College of Life Sciences; Central China Normal University; Wuhan China

2. Institute of Public Health and Molecular Medicine Analysis; Central China Normal University; Wuhan China

3. Li Cha Chung Faculty of Medicine; The University of Hong Kong; Hong Kong China

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Publisher

Wiley

Subject

Endocrinology, Diabetes and Metabolism

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/1753-0407.12421/fullpdf

Reference82 articles.

1. Integrating common and rare genetic variation in diverse human populations;International HapMap 3 Consortium;Nature,2010

2. An integrated map of genetic variation from 1092 human genomes;1000 Genomes Project Consortium;Nature,2012

3. Genetic study of complex diseases in the post-GWAS era;Huang;J Genet Genomics,2015

4. Leveraging cross-species transcription factor binding site patterns: From diabetes risk loci to disease mechanisms;Claussnitzer;Cell,2014

5. Obesity-associated variants within FTO form long-range functional connections with IRX3;Smemo;Nature,2014

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