Rare loss-of-function variants in type I IFN immunity genes are not associated with severe COVID-19

Gundula Povysil, Guillaume Butler-Laporte, Ning Shang, Chen Wang, Atlas Khan, Manal Alaamery, Tomoko Nakanishi, Sirui Zhou, Vincenzo Forgetta, Robert J.M. Eveleigh, Mathieu Bourgey, Naveed Aziz, Steven J.M. Jones, Bartha Knoppers, Stephen W. Scherer, Lisa J. Strug, Pierre Lepage, Jiannis Ragoussis, Guillaume Bourque, Jahad AlghamdiNora Aljawini, Nour Albes, Hani M. Al-Afghani, Bader Alghamdi, Mansour S. Almutairi, Ebrahim Sabri Mahmoud, Leen Abu-Safieh, Hadeel El Bardisy, Fawz S. Al Harthi, Abdulraheem Alshareef, Bandar Ali Suliman, Saleh A. Alqahtani, Abdulaziz Almalik, May M. Alrashed, Salam Massadeh, Vincent Mooser, Mark Lathrop, Mohamed Fawzy, Yaseen M. Arabi, Hamdi Mbarek, Chadi Saad, Wadha Al-Muftah, Junghyun Jung, Serghei Mangul, Radja Badji, Asma Al Thani, Said I. Ismail, Ali G. Gharavi, Malak S. Abedalthagafi, J. Brent Richards, David B. Goldstein, Krzysztof Kiryluk

Research output: Contribution to journalArticlepeer-review

Abstract

A recent report found that rare predicted loss-of-function (pLOF) variants across 13 candidate genes in TLR3- and IRF7-dependent type I IFN pathways explain up to 3.5% of severe COVID-19 cases. We performed whole-exome or whole-genome sequencing of 1,864 COVID-19 cases (713 with severe and 1,151 with mild disease) and 15,033 ancestry-matched population controls across 4 independent COVID-19 biobanks. We tested whether rare pLOF variants in these 13 genes were associated with severe COVID-19. We identified only 1 rare pLOF mutation across these genes among 713 cases with severe COVID-19 and observed no enrichment of pLOFs in severe cases compared to population controls or mild COVID-19 cases. We found no evidence of association of rare LOF variants in the 13 candidate genes with severe COVID-19 outcomes.

Original languageEnglish (US)
Article numbere147834
JournalJournal of Clinical Investigation
Volume131
Issue number14
DOIs
StatePublished - Jul 2021

ASJC Scopus subject areas

  • General Medicine

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