期刊
HUMAN MOLECULAR GENETICS
卷 23, 期 1, 页码 239-246出版社
OXFORD UNIV PRESS
DOI: 10.1093/hmg/ddt399
关键词
-
资金
- Ministry of Education, Culture, Sports, Science and Technology, Japan
- National 973 Program [2011CB504001]
- 863 Program [2006AA02A409]
- National Science Foundation of China [30800617, 81170735]
- Excellent Young Medical Expert of Shanghai [XYQ2011041]
- major program of the Shanghai Municipality for Basic Research, China [08dj1400601]
- Biomedical Research Council of Singapore [BMRC 05/1/36/19/413, 03/1/27/18/216]
- National Medical Research Council of Singapore [NMRC/1174/2008]
- Hong Kong Foundation for Research and Development in Diabetes established under Chinese University of Hong Kong
- Hong Kong Government Research Grant Committee Central Allocation Scheme [CUHK 1/04C]
- Research Grants Council Earmarked Research Grant [CUHK4727/0M]
- Innovation and Technology Fund [ITS/088/08, ITS/487/09FP]
- Chinese University
- Department of Medicine and Therapeutics
- Diabetes and Endocrine Research Fund of the Chinese University of Hong Kong
- Medical Research Council [MC_UU_12015/1, MC_U106179471] Funding Source: researchfish
- National Institute for Health Research [NF-SI-0611-10219] Funding Source: researchfish
- MRC [MC_UU_12015/4, MC_UU_12015/1] Funding Source: UKRI
Although over 60 loci for type 2 diabetes (T2D) have been identified, there still remains a large genetic component to be clarified. To explore unidentified loci for T2D, we performed a genome-wide association study (GWAS) of 6 209 637 single-nucleotide polymorphisms (SNPs), which were directly genotyped or imputed using East Asian references from the 1000 Genomes Project (June 2011 release) in 5976 Japanese patients with T2D and 20 829 nondiabetic individuals. Nineteen unreported loci were selected and taken forward to follow-up analyses. Combined discovery and follow-up analyses (30 392 cases and 34 814 controls) identified three new loci with genome-wide significance, which were MIR129-LEP [rs791595; risk allele = A; risk allele frequency (RAF) 5 0.080; P = 2.55 x 10(-13); odds ratio (OR) = 1.17], GPSM1 [rs11787792; risk allele = A; RAF = 0.874; P = 1.74 x 10(-10); OR = 1.15] and SLC16A13 (rs312457; risk allele = G; RAF = 0.078; P = 7.69 x 10(-13); OR = 1.20). This study demonstrates that GWASs based on the imputation of genotypes using modern reference haplotypes such as that from the 1000 Genomes Project data can assist in identification of new loci for common diseases.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据