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

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成果类型:
期刊论文
作者:
Cheng, Mengrong;Liu, Xinhong;Yang, Mei;Han, Lanchun;Xu, Aimin;...
通讯作者:
Huang, Qingyang
作者机构:
[Cheng, Mengrong; Yang, Mei; Liu, Xinhong; Huang, Qingyang; Han, Lanchun] Cent China Normal Univ, Coll Life Sci, Room 243, Wuhan 430079, Peoples R China.
[Huang, Qingyang; Han, Lanchun] Cent China Normal Univ, Inst Publ Hlth & Mol Med Anal, Wuhan, Peoples R China.
[Xu, Aimin] Univ Hong Kong, Li Cha Chung Fac Med, Hong Kong, Hong Kong, Peoples R China.
通讯机构:
[Huang, Qingyang] C
Cent China Normal Univ, Coll Life Sci, Room 243, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
computational biology;genome-wide association studies;single nucleotide polymorphisms;type 2 diabetes;"hub" genes
关键词(中文):
关键节点基因;计算生物学;全基因组关联研究;单核苷酸多态性;2型糖尿病
期刊:
Journal of Diabetes
ISSN:
1753-0393
年:
2017
卷:
9
期:
4
页码:
362-377
基金类别:
National Basic Research Program of China (973 Program)National Basic Research Program of China [2011CB504004]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31371275, 30971635]; Central China Normal University from the College's basic research and operation of Ministry of Education [CCNU14Z01003]
机构署名:
本校为第一且通讯机构
院系归属:
生命科学学院
摘要:
AbstractBackgroundGenome‐wide association studies (GWAS) of type 2 diabetes (T2D) have discovered a number of loci that contribute to susceptibility to the disease. Future challenges include elucidation of functional mechanisms through which these GWAS‐identified loci modulate T2D disease risk. The aim of the present study was to comprehensively characterize T2D associated single nucleotide polymorphisms (SNPs) and genes through computational approaches.MethodsComputational biology approaches used in the present study included comparative gen...
摘要(中文):
Genome-wide association studies (GWAS) of type 2 diabetes (T2D) have discovered a number of loci that contribute to susceptibility to the disease. Future challenges include elucidation of functional mechanisms through which these GWAS-identified loci modulate T2D disease risk. The aim of the present study was to comprehensively characterize T2D associated single nucleotide polymorphisms (SNPs) and genes through computational approaches. Computational biology approaches used in the present study included comparative genomic analyses and function...

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