Title |
Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes
|
---|---|
Published in |
Nature Communications, January 2016
|
DOI | 10.1038/ncomms10531 |
Pubmed ID | |
Authors |
Minako Imamura, Atsushi Takahashi, Toshimasa Yamauchi, Kazuo Hara, Kazuki Yasuda, Niels Grarup, Wei Zhao, Xu Wang, Alicia Huerta-Chagoya, Cheng Hu, Sanghoon Moon, Jirong Long, Soo Heon Kwak, Asif Rasheed, Richa Saxena, Ronald C. W. Ma, Yukinori Okada, Minoru Iwata, Jun Hosoe, Nobuhiro Shojima, Minaka Iwasaki, Hayato Fujita, Ken Suzuki, John Danesh, Torben Jørgensen, Marit E. Jørgensen, Daniel R. Witte, Ivan Brandslund, Cramer Christensen, Torben Hansen, Josep M. Mercader, Jason Flannick, Hortensia Moreno-Macías, Noël P. Burtt, Rong Zhang, Young Jin Kim, Wei Zheng, Jai Rup Singh, Claudia H. T. Tam, Hiroshi Hirose, Hiroshi Maegawa, Chikako Ito, Kohei Kaku, Hirotaka Watada, Yasushi Tanaka, Kazuyuki Tobe, Ryuzo Kawamori, Michiaki Kubo, Yoon Shin Cho, Juliana C. N. Chan, Dharambir Sanghera, Philippe Frossard, Kyong Soo Park, Xiao-Ou Shu, Bong-Jo Kim, Jose C. Florez, Teresa Tusié-Luna, Weiping Jia, E Shyong Tai, Oluf Pedersen, Danish Saleheen, Shiro Maeda, Takashi Kadowaki |
Abstract |
Genome-wide association studies (GWAS) have identified more than 80 susceptibility loci for type 2 diabetes (T2D), but most of its heritability still remains to be elucidated. In this study, we conducted a meta-analysis of GWAS for T2D in the Japanese population. Combined data from discovery and subsequent validation analyses (23,399 T2D cases and 31,722 controls) identify 7 new loci with genome-wide significance (P<5 × 10(-8)), rs1116357 near CCDC85A, rs147538848 in FAM60A, rs1575972 near DMRTA1, rs9309245 near ASB3, rs67156297 near ATP8B2, rs7107784 near MIR4686 and rs67839313 near INAFM2. Of these, the association of 4 loci with T2D is replicated in multi-ethnic populations other than Japanese (up to 65,936 T2Ds and 158,030 controls, P<0.007). These results indicate that expansion of single ethnic GWAS is still useful to identify novel susceptibility loci to complex traits not only for ethnicity-specific loci but also for common loci across different ethnicities. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 26% |
Denmark | 2 | 11% |
Japan | 1 | 5% |
Mexico | 1 | 5% |
Argentina | 1 | 5% |
Colombia | 1 | 5% |
United Kingdom | 1 | 5% |
Unknown | 7 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 58% |
Scientists | 6 | 32% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Republic of | 1 | <1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Sri Lanka | 1 | <1% |
Unknown | 203 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 37 | 18% |
Student > Ph. D. Student | 30 | 14% |
Student > Bachelor | 24 | 12% |
Student > Master | 20 | 10% |
Professor > Associate Professor | 11 | 5% |
Other | 42 | 20% |
Unknown | 43 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 45 | 22% |
Biochemistry, Genetics and Molecular Biology | 36 | 17% |
Agricultural and Biological Sciences | 34 | 16% |
Social Sciences | 6 | 3% |
Neuroscience | 5 | 2% |
Other | 25 | 12% |
Unknown | 56 | 27% |