Whole-genome sequencing reveals host factors underlying critical COVID-19.
Athanasios KousathanasErola Pairo-CastineiraKonrad RawlikAlex StuckeyChristopher A OdhamsSusan WalkerClark D RussellTomas MalinauskasYang WuJonathan MillarXia ShenKatherine S ElliottFiona GriffithsWilna OosthuyzenKirstie MorriceSean KeatingBo WangDaniel RhodesLucija KlarićMarie ZechnerNicholas J ParkinsonAfshan SiddiqPeter GoddardSally DonovanDavid MasloveAlistair NicholMalcolm Gracie SempleTala ZainyFiona Maleady-CroweLinda ToddShahla SalehiJulian C KnightGreg ElgarGeorgia ChanPrabhu ArumugamChristine PatchAugusto RendonDavid BentleyClare KingsleyJack A KosmickiJulie E HorowitzAris BarasGonçalo R AbecasisManuel A R FerreiraAnne JusticeTooraj MirshahiMatthew OetjensDaniel James RaderMarylyn DeRiggi RitchieAnurag VermaTom A FowlerManu Shankar-HariCharlotte SummersCharles J HindsPeter HorbyLowell LingDaniel Francis McAuleyHugh E MontgomeryPeter J M OpenshawPaul ElliottTimothy WalshAlbert Tenesanull nullnull nullnull nullAngie FawkesLee MurphyKathryn M RowanChris Paul PontingVeronique VitartJames F WilsonJian YangAndrew D BretherickRichard H ScottSara Clohisey HendryLoukas MoutsianasAndrew LawMark J CaulfieldJohn Kenneth BailliePublished in: Nature (2022)
Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care 1 or hospitalization 2-4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes-including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)-in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease.
Keyphrases
- sars cov
- coronavirus disease
- gene expression
- highly efficient
- respiratory syndrome coronavirus
- poor prognosis
- oxidative stress
- genome wide
- cell adhesion
- coronary artery
- dna methylation
- transcription factor
- acute myeloid leukemia
- immune response
- single cell
- coronary artery disease
- risk factors
- rna seq
- long non coding rna
- sensitive detection