Lu Xiangfeng, Peloso Gina M, Liu Dajiang J, Wu Ying, Zhang He, Zhou Wei, Li Jun, Tang Clara Sze-Man, Dorajoo Rajkumar, Li Huaixing, Long Jirong, Guo Xiuqing, Xu Ming, Spracklen Cassandra N, Chen Yang, Liu Xuezhen, Zhang Yan, Khor Chiea Chuen, Liu Jianjun, Sun Liang, Wang Laiyuan, Gao Yu-Tang, Hu Yao, Yu Kuai, Wang Yiqin, Cheung Chloe Yu Yan, Wang Feijie, Huang Jianfeng, Fan Qiao, Cai Qiuyin, Chen Shufeng, Shi Jinxiu, Yang Xueli, Zhao Wanting, Sheu Wayne H-H, Cherny Stacey Shawn, He Meian, Feranil Alan B, Adair Linda S, Gordon-Larsen Penny, Du Shufa, Varma Rohit, Chen Yii-Der Ida, Shu Xiao-Ou, Lam Karen Siu Ling, Wong Tien Yin, Ganesh Santhi K, Mo Zengnan, Hveem Kristian, Fritsche Lars G, Nielsen Jonas Bille, Tse Hung-Fat, Huo Yong, Cheng Ching-Yu, Chen Y Eugene, Zheng Wei, Tai E Shyong, Gao Wei, Lin Xu, Huang Wei, Abecasis Goncalo, Kathiresan Sekar, Mohlke Karen L, Wu Tangchun, Sham Pak Chung, Gu Dongfeng, Willer Cristen J
Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Nat Genet. 2017 Dec;49(12):1722-1730. doi: 10.1038/ng.3978. Epub 2017 Oct 30.
Most genome-wide association studies have been of European individuals, even though most genetic variation in humans is seen only in non-European samples. To search for novel loci associated with blood lipid levels and clarify the mechanism of action at previously identified lipid loci, we used an exome array to examine protein-coding genetic variants in 47,532 East Asian individuals. We identified 255 variants at 41 loci that reached chip-wide significance, including 3 novel loci and 14 East Asian-specific coding variant associations. After a meta-analysis including >300,000 European samples, we identified an additional nine novel loci. Sixteen genes were identified by protein-altering variants in both East Asians and Europeans, and thus are likely to be functional genes. Our data demonstrate that most of the low-frequency or rare coding variants associated with lipids are population specific, and that examining genomic data across diverse ancestries may facilitate the identification of functional genes at associated loci.
大多数全基因组关联研究针对的是欧洲人,尽管人类的大多数基因变异仅在非欧洲样本中出现。为了寻找与血脂水平相关的新基因座,并阐明先前确定的脂质基因座的作用机制,我们使用外显子组芯片检测了47532名东亚个体中的蛋白质编码基因变异。我们在41个基因座上鉴定出255个达到芯片范围显著水平的变异,包括3个新基因座和14个东亚特异性编码变异关联。在纳入超过30万个欧洲样本的荟萃分析后,我们又鉴定出9个新基因座。在东亚人和欧洲人中,通过蛋白质改变变异鉴定出16个基因,因此这些基因可能是功能基因。我们的数据表明,大多数与脂质相关的低频或罕见编码变异具有人群特异性,并且跨不同血统检查基因组数据可能有助于识别相关基因座上的功能基因。