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Genome-Wide Association Meta-analysis Identifies Novel Variants Associated With Fasting Plasma Glucose in East Asians

DIABETES 64 巻 1 号 291-298 頁 2015-01 発行

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タイトル	Genome-Wide Association Meta-analysis Identifies Novel Variants Associated With Fasting Plasma Glucose in East Asians
著者	Hwang Joo-Yeon Sim Xueling Wu Ying Liang Jun Tabara Yasuharu Hu Cheng Hara Kazuo Tam Claudia H. T. Cai Qiuyin Zhao Qi Jee Sunha Takeuchi Fumihiko Go Min Jin Ong Rick Twee Hee Ohkubo Takayoshi Kim Young Jin Zhang Rong Yamauchi Toshimasa So Wing Yee Long Jirong Gu Dongfeng Lee Nanette R. Kim Soriul Katsuya Tomohiro Oh Ji Hee Liu Jianjun Umemura Satoshi Kim Yeon-Jung Jiang Feng Maeda Shiro Chan Juliana C. N. Lu Wei Hixson James E. Adair Linda S. Jung Keum Ji 並河徹 Bae Jae-Bum Lee Mi Hee Seielstad Mark Young Terri L. Teo Yik Ying Kita Yoshikuni Takashima Naoyuki Osawa Haruhiko Lee So-Hyun Shin Min-Ho Shin Dong Hoon Choi Bo Youl Shi Jiajun Gao Yu-Tang Xiang Yong-Bing Zheng Wei Kato Norihiro Yoon Miwuk He Jiang Shu Xiao Ou Ma Ronald C. W. Kadowaki Takashi Jia Weiping Miki Tetsuro Qi Lu Tai E. Shyong Mohlke Karen L. Han Bok-Ghee Cho Yoon Shin Kim Bong-Jo
収録物名	DIABETES
巻	64
号	1
開始ページ	291
終了ページ	298
収録物識別子	ISSN 0012-1797 EISSN 1939-327X
言語	英語
資源タイプ	学術雑誌論文
出版者	AMER DIABETES ASSOC
発行日	2015-01
アクセス権	メタデータのみ
関連情報	[DOI] 10.2337/db14-0563 [PMID] 25187374
備考	This work was supported by grants from Korea Centers for Disease Control and Prevention (4845-301, 4851-302, and 4851-307) and an intramural grant from the Korea National Institute of Health (2012-N73002-00), the Republic of Korea. Y.S.C. acknowledges support from the National Research Foundation of Korea grant funded by the Korean government (Ministry of Education, Science and Technology) (2012R1A2A1A03006155). CLHNS was supported by U.S. National Institutes of Health (NIH) grants DK078150, TW05596, HL085144, and TW008288 and pilot funds from RR20649, ES10126, and DK56350. The authors thank the Office of Population Studies Foundation research and data collection teams and the study participants who generously provided their time for this study. The authors thank Markku Laakso (University of Kuopio, Finland), Michael Boehnke (University of Michigan), Francis Collins (NIH, Bethesda, MD), and the METSIM study investigators for providing access to unpublished data. METSIM data were generated and analyzed with support from the Academy of Finland (contract 124243), the Finnish Heart Foundation, the Finnish Diabetes Foundation, Tekes (contract 1510/31/06), the Commission of the European Community (HEALTH-F2-2007-201681), and NIH grants DK093757, DK072193, DK062370, and 1Z01 HG000024. SBCS was supported by R01CA064277; SMHS by R01CA082729; and GWA studies by R37CA070867, R01CA082729, R01CA124558, R01CA148667, R01CA122364, R01CA122756, and R01CA137013 (all NIH grants), as well as Ingram Professorship and Research Reward funds from the Vanderbilt University School of Medicine. The authors want to thank Regina Courtney (the Vanderbilt University School of Medicine) for DNA preparation and Jing He (the Vanderbilt University School of Medicine) for data processing and analyses. S.O.U. acknowledges a grant from the National 973 Program (2011CB504001), National Natural Science Foundation of China (81170735), and Excellent Young Medical Expert of Shanghai (XYQ2011041). The authors thank all the medical staff of the Shanghai Clinical Center for Diabetes, all the participants and the staff of the BioBank Japan project, and Minoru Iwata, Kazuyuki Tobe (First Department of Internal Medicine, University of Toyama), Kazuki Yasuda, Masato Kasuga (Diabetes Research Center, Research Institute, National Center for Global Health and Medicine), and Hiroshi Hirose (Health Center, Keio University School of Medicine) for the preparation of DNA and clinical information. They also thank the technical staff of the Laboratory for Endocrinology, Metabolism and Kidney diseases at the RIKEN Center for Integrative Medical Sciences for performing SNP genotyping. They thank Hayato Fujita (Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo) for statistical analysis. S.M. acknowledges a grant from the Leading Project of Ministry of Education, Culture, Sports, Science and Technology, Japan. W.J. acknowledges a grant from the National Natural Science Foundation of China (81322010 and 81170735), National 863 Program (2012AA02A509), Shanghai Rising Star Program (12QH1401700), Shanghai Talent Development Grant (2012041), Excellent Young Medical Expert of Shanghai (XYQ2011041), and National Young Top Talent Support Program.; The authors would like to acknowledge support from the Hong Kong Foundation for Research and Development in Diabetes, established under the auspices of the Chinese University of Hong Kong, the Hong Kong government Research Grant Committee Central Allocation Scheme (CUHK 1/04C) and Theme-Based Research Scheme (T12-402/13-N), the Innovation and Technology Fund (ITS/088/08 and ITS/487/09FP), a Chinese University Direct Grant, and NIH grant NIH-RFA DK-085545-01 (from the National Institute of Diabetes and Digestive and Kidney Diseases). GenSalt is supported by research grants (U01HL072507, R01HL087263, and R01HL090682) from the NIH National Heart, Lung, and Blood Institute.