Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease.
Satoshi KoyamaShefali S VermaChikashi C TeraoMasato AkiyamaMomoko HorikoshiYukihide MomozawaHiroshi MatsunagaHirotaka IekiKouichi OzakiYoshihiro OnouchiAtsushi TakahashiSeitaro NomuraHiroyuki MoritaHiroshi AkazawaChanghoon KimJeong-Sun SeoKoichiro HigasaMotoki IwasakiTaiki YamajiNorie SawadaShoichiro TsuganeTeruhide KoyamaHiroaki IkezakiNaoyuki TakashimaKeitaro TanakaKokichi ArisawaKiyonori KurikiMariko NaitoKenji WakaiShinichiro SunaYasuhiko SakataHiroshi SatoMasatsugu HoriYasushi SakataKoichi MatsudaYoshinori MurakamiHiroyuki AburataniMichiaki KuboFumihiko MatsudaYoichiro KamataniIssei KomuroPublished in: Nature genetics (2020)
To elucidate the genetics of coronary artery disease (CAD) in the Japanese population, we conducted a large-scale genome-wide association study of 168,228 individuals of Japanese ancestry (25,892 cases and 142,336 controls) with genotype imputation using a newly developed reference panel of Japanese haplotypes including 1,781 CAD cases and 2,636 controls. We detected eight new susceptibility loci and Japanese-specific rare variants contributing to disease severity and increased cardiovascular mortality. We then conducted a trans-ancestry meta-analysis and discovered 35 additional new loci. Using the meta-analysis results, we derived a polygenic risk score (PRS) for CAD, which outperformed those derived from either Japanese or European genome-wide association studies. The PRS prioritized risk factors among various clinical parameters and segregated individuals with increased risk of long-term cardiovascular mortality. Our data improve the clinical characterization of CAD genetics and suggest the utility of trans-ancestry meta-analysis for PRS derivation in non-European populations.
Keyphrases
- genome wide association study
- coronary artery disease
- systematic review
- genome wide
- cardiovascular events
- risk factors
- genome wide association
- case control
- percutaneous coronary intervention
- meta analyses
- coronary artery bypass grafting
- copy number
- dna methylation
- heart failure
- type diabetes
- machine learning
- left ventricular
- big data
- electronic health record
- ejection fraction