학술논문

Multi-ethnic genome-wide association study for atrial fibrillation
Document Type
article
Author
Roselli, CarolinaChaffin, Mark DWeng, Lu-ChenAeschbacher, StefanieAhlberg, GustavAlbert, Christine MAlmgren, PeterAlonso, AlvaroAnderson, Christopher DAragam, Krishna GArking, Dan EBarnard, JohnBartz, Traci MBenjamin, Emelia JBihlmeyer, Nathan ABis, Joshua CBloom, Heather LBoerwinkle, EricBottinger, Erwin BBrody, Jennifer ACalkins, HughCampbell, ArchieCappola, Thomas PCarlquist, JohnChasman, Daniel IChen, Lin YChen, Yii-Der IdaChoi, Eue-KeunChoi, Seung HoanChristophersen, Ingrid EChung, Mina KCole, John WConen, DavidCook, JamesCrijns, Harry JCutler, Michael JDamrauer, Scott MDaniels, Brian RDarbar, DawoodDelgado, GracielaDenny, Joshua CDichgans, MartinDörr, MarcusDudink, Elton ADudley, Samuel CEsa, NadaEsko, TonuEskola, MarkkuFatkin, DianeFelix, Stephan BFord, IanFranco, Oscar HGeelhoed, BastiaanGrewal, Raji PGudnason, VilmundurGuo, XiuqingGupta, NamrataGustafsson, StefanGutmann, RebeccaHamsten, AndersHarris, Tamara BHayward, CarolineHeckbert, Susan RHernesniemi, JussiHocking, Lynne JHofman, AlbertHorimoto, Andrea RVRHuang, JieHuang, Paul LHuffman, JenniferIngelsson, ErikIpek, Esra GucukIto, KaoruJimenez-Conde, JordiJohnson, ReneeJukema, J WouterKääb, StefanKähönen, MikaKamatani, YoichiroKane, John PKastrati, AdnanKathiresan, SekarKatschnig-Winter, PetraKavousi, MaryamKessler, ThorstenKietselaer, Bas LKirchhof, PaulusKleber, Marcus EKnight, StaceyKrieger, Jose EKubo, MichiakiLauner, Lenore JLaurikka, JariLehtimäki, TerhoLeineweber, KirstenLemaitre, Rozenn NLi, ManLim, Hong EuyLin, Henry JLin, Honghuang
Source
Nature Genetics. 50(9)
Subject
Biological Sciences
Genetics
Heart Disease
Cardiovascular
Human Genome
Biotechnology
2.1 Biological and endogenous factors
Aetiology
Atrial Fibrillation
Case-Control Studies
Ethnicity
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Quantitative Trait Loci
Transcriptome
Medical and Health Sciences
Developmental Biology
Agricultural biotechnology
Bioinformatics and computational biology
Language
Abstract
Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.