File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

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

TitleExome chip meta-analysis identifies novel loci and East Asian–specific coding variants that contribute to lipid levels and coronary artery disease
Authors
Issue Date2017
PublisherNature Publishing Group. The Journal's web site is located at http://www.genetics.nature.com
Citation
Nature Genetics, 2017, v. 49 n. 12, p. 1722-1730 How to Cite?
AbstractMost 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. © 2017 Nature America, Inc.
Descriptioneid_2-s2.0-85035814059
Persistent Identifierhttp://hdl.handle.net/10722/250015
ISSN
2021 Impact Factor: 41.307
2020 SCImago Journal Rankings: 18.861
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLu, X-
dc.contributor.authorPeloso, GM-
dc.contributor.authorLiu, DJ-
dc.contributor.authorWu, Y-
dc.contributor.authorZhang, H-
dc.contributor.authorZhou, W-
dc.contributor.authorLi, J-
dc.contributor.authorTang, SM-
dc.contributor.authorDorajoo, R-
dc.contributor.authorLi, H-
dc.contributor.authorLong, J-
dc.contributor.authorGuo, X-
dc.contributor.authorXu, M-
dc.contributor.authorSpracklen, CN-
dc.contributor.authorChen, Y-
dc.contributor.authorLiu, X-
dc.contributor.authorZhang, Y-
dc.contributor.authorKhor, CC-
dc.contributor.authorLiu, J-
dc.contributor.authorSun, L-
dc.contributor.authorWang, L-
dc.contributor.authorGao, Y-
dc.contributor.authorHu, Y-
dc.contributor.authorYu, K-
dc.contributor.authorWang, Y-
dc.contributor.authorCheung, YY-
dc.contributor.authorWang, F-
dc.contributor.authorHuang, J-
dc.contributor.authorFan, Q-
dc.contributor.authorCai, Q-
dc.contributor.authorChen, S-
dc.contributor.authorShi, J-
dc.contributor.authorYang, X-
dc.contributor.authorZhao, W-
dc.contributor.authorSheu, WH-
dc.contributor.authorCherny, SS-
dc.contributor.authorHe, M-
dc.contributor.authorFeranil, AB-
dc.contributor.authorAdair, LS-
dc.contributor.authorGordon-Larsen, P-
dc.contributor.authorDu, S-
dc.contributor.authorDu, R-
dc.contributor.authorChen, YI-
dc.contributor.authorShu, X-
dc.contributor.authorLam, KSL-
dc.contributor.authorWong, TY-
dc.contributor.authorGanesh, SK-
dc.contributor.authorMo, Z-
dc.contributor.authorHveem, K-
dc.contributor.authorFritsche, LG-
dc.contributor.authorNielsen, JB-
dc.contributor.authorTse, HF-
dc.contributor.authorHuo, Y-
dc.contributor.authorCheng, C-
dc.contributor.authorChen, YE-
dc.contributor.authorZheng, W-
dc.contributor.authorTai, ES-
dc.contributor.authorGao, W-
dc.contributor.authorLin, X-
dc.contributor.authorHuang, W-
dc.contributor.authorAbecasis, G-
dc.contributor.authorKathiresan, S-
dc.contributor.authorMohlke, KL-
dc.contributor.authorWu, T-
dc.contributor.authorSham, PC-
dc.contributor.authorGu, D-
dc.contributor.authorWiller, CJ-
dc.date.accessioned2017-12-20T09:19:25Z-
dc.date.available2017-12-20T09:19:25Z-
dc.date.issued2017-
dc.identifier.citationNature Genetics, 2017, v. 49 n. 12, p. 1722-1730-
dc.identifier.issn1061-4036-
dc.identifier.urihttp://hdl.handle.net/10722/250015-
dc.descriptioneid_2-s2.0-85035814059-
dc.description.abstractMost 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. © 2017 Nature America, Inc.-
dc.languageeng-
dc.publisherNature Publishing Group. The Journal's web site is located at http://www.genetics.nature.com-
dc.relation.ispartofNature Genetics-
dc.titleExome chip meta-analysis identifies novel loci and East Asian–specific coding variants that contribute to lipid levels and coronary artery disease-
dc.typeArticle-
dc.identifier.emailTang, SM: claratang@hku.hk-
dc.identifier.emailCheung, YY: cyy0219@hku.hk-
dc.identifier.emailCherny, SS: cherny@hku.hk-
dc.identifier.emailLam, KSL: ksllam@hku.hk-
dc.identifier.emailTse, HF: hftse@hkucc.hku.hk-
dc.identifier.emailSham, PC: pcsham@hku.hk-
dc.identifier.authorityTang, SM=rp02105-
dc.identifier.authorityCheung, YY=rp02243-
dc.identifier.authorityCherny, SS=rp00232-
dc.identifier.authorityLam, KSL=rp00343-
dc.identifier.authorityTse, HF=rp00428-
dc.identifier.authoritySham, PC=rp00459-
dc.description.naturepostprint-
dc.identifier.doi10.1038/ng.3978-
dc.identifier.pmid29083407-
dc.identifier.scopuseid_2-s2.0-85035814059-
dc.identifier.hkuros283862-
dc.identifier.volume49-
dc.identifier.issue12-
dc.identifier.spage1722-
dc.identifier.epage1730-
dc.identifier.isiWOS:000416480600011-
dc.publisher.placeUnited States-
dc.identifier.issnl1061-4036-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats