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Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease.

Xiangfeng LuGina M PelosoDajiang J LiuYing WuHe ZhangWei ZhouJun LiClara Sze Man TangRajkumar DorajooHuaixing LiJirong LongXiuqing GuoMing XuCassandra N SpracklenYang ChenXuezhen LiuYan ZhangChiea Chuen KhorJianjun LiuLiang SunLaiyuan WangYu-Tang GaoYao HuKuai YuYiqin WangChloe Yu Yan CheungFeijie WangJianfeng HuangQiao FanQiuyin CaiShufeng ChenJinxiu ShiXueli YangWanting ZhaoWayne H-H SheuStacey Shawn ChernyMeian HeAlan B FeranilLinda S AdairPenny Gordon-LarsenShufa DuRohit VarmaYii-Der Ida ChenXiao-Ou ShuKaren Siu Ling LamTien Yin WongSanthi K GaneshZengnan MoKristian HveemLars G FritscheJonas Bille NielsenHung-Fat TseYong HuoChing-Yu ChengY Eugene ChenQuan LongE Shyong TaiWei GaoXu LinWei HuangGoncalo Abecasisnull nullSekar KathiresanKaren L MohlkeTangchun WuPak Chung ShamDongfeng GuCristen J Willer
Published in: Nature genetics (2017)
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.
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