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)
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.
Impact Factor
Scopus SNIP
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Times Cited
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Cited By
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Genome-wide Association; Low-frequency; Blood-lipids; Myocardial-infarction; Sequence Variants; Rare Variants; Risk; Cholesterol; Gene; Triglycerides
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2017
Prepublished im Jahr
HGF-Berichtsjahr
2017
ISSN (print) / ISBN
1061-4036
e-ISSN
1546-1718
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 49,
Heft: 12,
Seiten: 1722–1730
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Nature Publishing Group
Verlagsort
New York, NY
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30201 - Metabolic Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504091-001
G-504091-002
G-504091-004
G-504100-001
G-504000-010
G-504000-001
G-521500-002
Förderungen
Copyright
Erfassungsdatum
2017-12-28