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Large-scale genome-wide association studies in East Asians identify new genetic loci influencing metabolic traits
Authors:Kim Young Jin  Go Min Jin  Hu Cheng  Hong Chang Bum  Kim Yun Kyoung  Lee Ji Young  Hwang Joo-Yeon  Oh Ji Hee  Kim Dong-Joon  Kim Nam Hee  Kim Soeui  Hong Eun Jung  Kim Ji-Hyun  Min Haesook  Kim Yeonjung  Zhang Rong  Jia Weiping  Okada Yukinori  Takahashi Atsushi  Kubo Michiaki  Tanaka Toshihiro  Kamatani Naoyuki  Matsuda Koichi;MAGIC consortium  Park Taesung  Oh Bermseok  Kimm Kuchan  Kang Daehee  Shin Chol  Cho Nam H  Kim Hyung-Lae  Han Bok-Ghee  Lee Jong-Young  Cho Yoon Shin
Institution:Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Korea.
Abstract:To identify the genetic bases for nine metabolic traits, we conducted a meta-analysis combining Korean genome-wide association results from the KARE project (n = 8,842) and the HEXA shared control study (n = 3,703). We verified the associations of the loci selected from the discovery meta-analysis in the replication stage (30,395 individuals from the BioBank Japan genome-wide association study and individuals comprising the Health2 and Shanghai Jiao Tong University Diabetes cohorts). We identified ten genome-wide significant signals newly associated with traits from an overall meta-analysis. The most compelling associations involved 12q24.11 (near MYL2) and 12q24.13 (in C12orf51) for high-density lipoprotein cholesterol, 2p21 (near SIX2-SIX3) for fasting plasma glucose, 19q13.33 (in RPS11) and 6q22.33 (in RSPO3) for renal traits, and 12q24.11 (near MYL2), 12q24.13 (in C12orf51 and near OAS1), 4q31.22 (in ZNF827) and 7q11.23 (near TBL2-BCL7B) for hepatic traits. These findings highlight previously unknown biological pathways for metabolic traits investigated in this study.
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