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GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19.


ABSTRACT: Critical illness in COVID-19 is an extreme and clinically homogeneous disease phenotype that we have previously shown1 to be highly efficient for discovery of genetic associations2. Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID-19 can identify immunomodulatory therapies with strong beneficial effects in this group3. Here we analyse 24,202 cases of COVID-19 with critical illness comprising a combination of microarray genotype and whole-genome sequencing data from cases of critical illness in the international GenOMICC (11,440 cases) study, combined with other studies recruiting hospitalized patients with a strong focus on severe and critical disease: ISARIC4C (676 cases) and the SCOURGE consortium (5,934 cases). To put these results in the context of existing work, we conduct a meta-analysis of the new GenOMICC genome-wide association study (GWAS) results with previously published data. We find 49 genome-wide significant associations, of which 16 have not been reported previously. To investigate the therapeutic implications of these findings, we infer the structural consequences of protein-coding variants, and combine our GWAS results with gene expression data using a monocyte transcriptome-wide association study (TWAS) model, as well as gene and protein expression using Mendelian randomization. We identify potentially druggable targets in multiple systems, including inflammatory signalling (JAK1), monocyte-macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

SUBMITTER: Pairo-Castineira E 

PROVIDER: S-EPMC10208981 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

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GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19.

Pairo-Castineira Erola E   Rawlik Konrad K   Bretherick Andrew D AD   Qi Ting T   Wu Yang Y   Nassiri Isar I   McConkey Glenn A GA   Zechner Marie M   Klaric Lucija L   Griffiths Fiona F   Oosthuyzen Wilna W   Kousathanas Athanasios A   Richmond Anne A   Millar Jonathan J   Russell Clark D CD   Malinauskas Tomas T   Thwaites Ryan R   Morrice Kirstie K   Keating Sean S   Maslove David D   Nichol Alistair A   Semple Malcolm G MG   Knight Julian J   Shankar-Hari Manu M   Summers Charlotte C   Hinds Charles C   Horby Peter P   Ling Lowell L   McAuley Danny D   Montgomery Hugh H   Openshaw Peter J M PJM   Begg Colin C   Walsh Timothy T   Tenesa Albert A   Flores Carlos C   Riancho José A JA   Rojas-Martinez Augusto A   Lapunzina Pablo P   Yang Jian J   Ponting Chris P CP   Wilson James F JF   Vitart Veronique V   Abedalthagafi Malak M   Luchessi Andre D AD   Parra Esteban J EJ   Cruz Raquel R   Carracedo Angel A   Fawkes Angie A   Murphy Lee L   Rowan Kathy K   Pereira Alexandre C AC   Law Andy A   Fairfax Benjamin B   Hendry Sara Clohisey SC   Baillie J Kenneth JK  

Nature 20230517 7962


Critical illness in COVID-19 is an extreme and clinically homogeneous disease phenotype that we have previously shown<sup>1</sup> to be highly efficient for discovery of genetic associations<sup>2</sup>. Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID-19 can identify immunomodulatory therapies with strong beneficial effects in this group<sup>3</sup>. Here we analyse 24,202 cases of COVID-19 with critical illnes  ...[more]

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