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Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease.

Julie E HorowitzJack A KosmickiAmy DamaskDeepika SharmaGenevieve H L RobertsAnne E JusticeNilanjana BanerjeeMarie V CoignetAshish YadavJoseph B LeaderAnthony MarckettaDanny S ParkRouel LancheEvan MaxwellSpencer C KnightXiaodong BaiHarendra GuturuDylan SunAsher BaltzellFabricio S P KuryJoshua D BackmanAhna R GirshickColm O'DushlaineShannon R McCurdyRaghavendran ParthaAdam J MansfieldDavid A TurissiniAlexander H LiMiao ZhangJoelle MbatchouKyoko WatanabeLauren GurskiShane E McCarthyHyun M KangLee DobbynEli StahlAnurag VermaGiorgio Sirugonull nullMarylyn DeRiggi RitchieMarcus JonesSuganthi BalasubramanianKatherine SiminovitchWilliam J SalernoAlan R ShuldinerDaniel James RaderTooraj MirshahiAdam E LockeJonathan MarchiniJohn D OvertonDavid J CareyLukas HabeggerMichael N CantorKristin A RandEurie L HongJeffrey G ReidCatherine A BallAris BarasGonçalo R AbecasisManuel A R Ferreira
Published in: Nature genetics (2022)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enters human host cells via angiotensin-converting enzyme 2 (ACE2) and causes coronavirus disease 2019 (COVID-19). Here, through a genome-wide association study, we identify a variant (rs190509934, minor allele frequency 0.2-2%) that downregulates ACE2 expression by 37% (P = 2.7 × 10 - 8 ) and reduces the risk of SARS-CoV-2 infection by 40% (odds ratio = 0.60, P = 4.5 × 10 - 13 ), providing human genetic evidence that ACE2 expression levels influence COVID-19 risk. We also replicate the associations of six previously reported risk variants, of which four were further associated with worse outcomes in individuals infected with the virus (in/near LZTFL1, MHC, DPP9 and IFNAR2). Lastly, we show that common variants define a risk score that is strongly associated with severe disease among cases and modestly improves the prediction of disease severity relative to demographic and clinical factors alone.
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