Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes
Year: 2016
Type: review
Study design: Observational Study
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.
Source: Nature Communications
DOI: 10.1038/ncomms10531
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
Institutions: RIKEN Center for Integrative Medical Sciences, National Cerebral and Cardiovascular Center, The University of Tokyo, Tokyo Medical University, National Center for Global Health and Medicine, University of Copenhagen, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Pennsylvania, National University of Singapore, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Universidad Nacional Autónoma de México, Shanghai Jiao Tong University, Shanghai Sixth People's Hospital, Korea National Institute of Health, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Seoul National University, Seoul National University Hospital, Center for Non-Communicable Diseases, Massachusetts General Hospital, Chinese University of Hong Kong, Tokyo Medical and Dental University, University of Toyama, University of Cambridge, Wellcome Sanger Institute, National Institute for Health and Care Research, Capital Region of Denmark, Aalborg University, Steno Diabetes Centers, Aarhus University, Danish Diabetes Academy, University of Southern Denmark, Vejle Sygehus, Lillebaelt Hospital, Broad Institute, Harvard University, Barcelona Supercomputing Center, Universidad Autónoma Metropolitana, Central University of Punjab, Keio University, Shiga University of Medical Science, Kawasaki Medical School, Juntendo University, St. Marianna University School of Medicine, Hallym University, University of Oklahoma Health Sciences Center, University of the Ryukyus
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,990
Funders: U.S. Department of Defense, Eli Lilly and Company, Pfizer, Vanderbilt University, University of Oklahoma, Allen Foundation, Wellcome Trust, National Institute for Health and Care Research, British Heart Foundation, University of Cambridge, European Commission, National Research Foundation, European Foundation for the Study of Diabetes, Ministry of Education, Culture, Sports, Science and Technology, National Natural Science Foundation of China, Lundbeckfonden, National Research Foundation of Korea, Novo Nordisk, Chinese University of Hong Kong, Shanghai Jiao Tong University, Copenhagen Graduate School for Nanoscience and Nanotechnology, Novo Nordisk Fonden, Innovation and Technology Fund, Novo Nordisk Foundation Center for Basic Metabolic Research, H. Lundbeck A/S, National Institutes of Health, University of Oklahoma Health Sciences Center, Medical Research Council, Japan Society for the Promotion of Science, Agència de Gestió d'Ajuts Universitaris i de Recerca, Korea National Institute of Health, National High-tech Research and Development Program, National Key Research and Development Program of China, NIHR Cambridge Biomedical Research Centre, National Cancer Institute, Fogarty International Center, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Research Resources, FP7 Ideas: European Research Council
Awards: G1147793876, G1239687246, Shanghai Breast Cancer Study, G166807028, G1828425977, G2045551132, G2257156123, Genome-wide Association Scan to Identify Risk Genes for Type 2 Diabetes in Asian, G236965512, Cancer Risk Reduction and Diet: A Cohort Study of Women, G2939443841, G3037546023, G3217060148, G3384403958, G3660198173, G385907487, Genetic Factors for Breast Cancer- A genome Wide Study, Indo-US Collaboration in Genomic Studies on Diabetes, G4243412236, G4295833692, G4584873075, G4598837994, G4813860285, Pathophysiological roles of adipokines in the regulation of gut microbiota in life-style related diseases, G5270826263, G560889077, G567453067, G6308906652, EPIC-CVD: Individualised CVD risk assessment: tailoring targeted and cost-effective approaches to Europe's diverse populations, The Vanderbilt Institute for Clinical and Translational Research (VICTR) UL1, G667454851, G7371674094, Interplay of genetic, nutrient and lifestyle factors on incidence of coronary disease: EPIC-Heart, G7726777033, The role of M2-like macrophages in glucose metabolism, G8104281406, Comprehensive and expansive research of the universal metabolic regulation mechanisms for healthspan, Shanghai Womens Health Study, Genomic and epigenomic regulations of metabolic syndrome related diseases., G860355947, Identification of biomarkers of autoimmune diseases using HLA imputation, G9000300101
OpenAlex ID: W2256863139