Genome-wide association study identifies three novel loci for type 2 diabetes

被引:126
|
作者
Hara, Kazuo [1 ,2 ]
Fujita, Hayato [1 ]
Johnson, Todd A. [3 ]
Yamauchi, Toshimasa [1 ,6 ,7 ]
Yasuda, Kazuki [8 ]
Horikoshi, Momoko [1 ]
Peng, Chen [9 ]
Hu, Cheng [10 ]
Ma, Ronald C. W. [11 ,12 ,13 ]
Imamura, Minako [4 ]
Iwata, Minoru [15 ]
Tsunoda, Tatsuhiko [3 ]
Morizono, Takashi [3 ]
Shojima, Nobuhiro [1 ]
So, Wing Yee [11 ,12 ,13 ]
Leung, Ting Fan [14 ]
Kwan, Patrick [11 ]
Zhang, Rong [10 ]
Wang, Jie [10 ]
Yu, Weihui [10 ]
Maegawa, Hiroshi [16 ]
Hirose, Hiroshi [17 ]
Kaku, Kohei [18 ]
Ito, Chikako [19 ]
Watada, Hirotaka
Tanaka, Yasushi [20 ]
Tobe, Kazuyuki [15 ]
Kashiwagi, Atsunori [16 ]
Kawamori, Ryuzo
Jia, Weiping [10 ]
Chan, Juliana C. N. [11 ,12 ,13 ]
Teo, Yik Ying [9 ,21 ,22 ,23 ,25 ]
Shyong, Tai E. [9 ,24 ,26 ]
Kamatani, Naoyuki
Kubo, Michiaki [5 ]
Maeda, Shiro [4 ]
Kadowaki, Takashi [1 ]
机构
[1] Univ Tokyo, Grad Sch Med, Dept Diabet & Metab Dis, Tokyo 1138655, Japan
[2] Univ Tokyo, Dept Integrated Mol Sci Metab Dis, 22nd Century Med & Res Ctr, Tokyo 1138655, Japan
[3] RIKEN Ctr Integrat Med Sci, Lab Med Sci Math, Yokohama, Kanagawa 2300045, Japan
[4] RIKEN Ctr Integrat Med Sci, Lab Endocrinol Metab & Kidney Dis, Yokohama, Kanagawa 2300045, Japan
[5] RIKEN Ctr Integrat Med Sci, Res Grp Genotyping, Yokohama, Kanagawa 2300045, Japan
[6] Juntendo Univ, Grad Sch Med, Sportol Ctr, Tokyo 1138421, Japan
[7] Juntendo Univ, Sch Med, Dept Med Metab & Endocrinol, Tokyo 1138421, Japan
[8] Natl Ctr Global Hlth & Med, Res Inst, Diabet Res Ctr, Dept Metab Disorder, Tokyo 1628655, Japan
[9] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore 117597, Singapore
[10] Shanghai Jiao Tong Univ, Affiliated Peoples Hosp 6, Shanghai Key Lab Diabet Mellitus, Shanghai 200233, Peoples R China
[11] Chinese Univ Hong Kong, Dept Med & Therapeut, Prince Wales Hosp, Hong Kong, Hong Kong, Peoples R China
[12] Chinese Univ Hong Kong, Li Ka Shing Inst Hlth Sci, Hong Kong, Hong Kong, Peoples R China
[13] Chinese Univ Hong Kong, Hong Kong Inst Diabet & Obes, Hong Kong, Hong Kong, Peoples R China
[14] Chinese Univ Hong Kong, Dept Paediat, Hong Kong, Hong Kong, Peoples R China
[15] Toyama Univ, Dept Internal Med 1, Toyama 9300194, Japan
[16] Shiga Univ Med Sci, Dept Med, Otsu, Shiga 5202192, Japan
[17] Keio Univ, Sch Med, Ctr Hlth, Tokyo 1608582, Japan
[18] KawasakiMed Sch, Dept Internal Med, Div Diabet Endocrinol & Metab, Kurashiki, Okayama 7010192, Japan
[19] Med Court Life Care Clin, Hiroshima 7300012, Japan
[20] St Marianna Univ, Sch Med, Div Metab & Endocrinol, Dept Internal Med, Kawasaki, Kanagawa 2168511, Japan
[21] Natl Univ Singapore, Inst Life Sci, Singapore 117548, Singapore
[22] Natl Univ Singapore, NUS Grad Sch Integrat Sci & Engn, Singapore 117548, Singapore
[23] Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117548, Singapore
[24] Natl Univ Singapore, Dept Med, Singapore 117548, Singapore
[25] Agcy Sci Technol & Res, Genome Inst Singapore, Singapore, Singapore
[26] Duke Natl Univ Singapore, Grad Sch Med, Singapore, Singapore
基金
英国医学研究理事会; 美国国家科学基金会;
关键词
SUSCEPTIBILITY LOCI; INSULIN-RESISTANCE; BETA-CELL; VARIANTS; TRANSPORTERS; METAANALYSIS; TRAITS; LEPTIN; OBESE; KCNQ1;
D O I
10.1093/hmg/ddt399
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:239 / 246
页数:8
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