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Lu, X.* ; Peloso, G.M.* ; Liu, D.J.* ; Wu, Y.* ; Zhang, H.* ; Zhou, W.* ; Li, J.* ; Tang, C.S.* ; Dorajoo, R.* ; Li, H.* ; Long, J.* ; Guo, X.* ; Xu, M.* ; Spracklen, C.N.* ; Chen, Y.* ; Liu, X.* ; Zhang, Y.* ; Khor, C.C.* ; Liu, J.* ; Sun, L.* ; Wang, L.* ; Gao, Y.* ; Hu, Y.* ; Yu, K.* ; Wang, Y.* ; Cheung, C.Y.Y.* ; Wang, F.* ; Huang, J.* ; Fan, Q.* ; Cai, Q.* ; Chen, S.* ; Shi, J.* ; Yang, X.* ; Zhao, W.* ; Sheu, W.H.* ; Cherny, S.S.* ; He, M.* ; Feranil, A.B.* ; Adair, L.S.* ; Gordon-Larsen, P.* ; Du, S.* ; Varma, R.* ; Chen, Y.I.* ; Shu, X.* ; Lam, K.S.L.* ; Wong, T.Y.* ; Ganesh, S.K.* ; Mo, Z.* ; Hveem, K.* ; Fritsche, L.G.* ; Nielsen, J.B.* ; Tse, H.* ; Huo, Y.* ; Cheng, C.* ; Chen, Y.E.* ; Zheng, W.* ; Tai, E.S.* ; Gao, W.* ; Lin, X.* ; Huang, W.* ; Abecasis, G.* ; Kathiresan, S.* ; Mohlke, K.L.* ; Wu, T.* ; Sham, P.C.* ; Gu, D.* ; Willer, C.J.* ; GLGC Consortium (Waldenberger, M. ; Grallert, H. ; Gieger, C. ; Müller-Nurasyid, M. ; Peters, A. ; Strauch, K.)

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

Nat. Genet. 49, 1722–1730 (2017)
Verlagsversion Forschungsdaten DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Genome-wide Association; Low-frequency; Blood-lipids; Myocardial-infarction; Sequence Variants; Rare Variants; Risk; Cholesterol; Gene; Triglycerides
ISSN (print) / ISBN 1061-4036
e-ISSN 1546-1718
Zeitschrift Nature Genetics
Quellenangaben Band: 49, Heft: 12, Seiten: 1722–1730 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort New York, NY
Begutachtungsstatus Peer reviewed