Ontology highlight
ABSTRACT:
SUBMITTER: Povysil G
PROVIDER: S-EPMC8279578 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature
Povysil Gundula G Butler-Laporte Guillaume G Shang Ning N Wang Chen C Khan Atlas A Alaamery Manal M Nakanishi Tomoko T Zhou Sirui S Forgetta Vincenzo V Eveleigh Robert Jm RJ Bourgey Mathieu M Aziz Naveed N Jones Steven Jm SJ Knoppers Bartha B Scherer Stephen W SW Strug Lisa J LJ Lepage Pierre P Ragoussis Jiannis J Bourque Guillaume G Alghamdi Jahad J Aljawini Nora N Albes Nour N Al-Afghani Hani M HM Alghamdi Bader B Almutairi Mansour S MS Mahmoud Ebrahim Sabri ES Abu-Safieh Leen L El Bardisy Hadeel H Harthi Fawz S Al FSA Alshareef Abdulraheem A Suliman Bandar Ali BA Alqahtani Saleh A SA Almalik Abdulaziz A Alrashed May M MM Massadeh Salam S Mooser Vincent V Lathrop Mark M Fawzy Mohamed M Arabi Yaseen M YM Mbarek Hamdi H Saad Chadi C Al-Muftah Wadha W Jung Junghyun J Mangul Serghei S Badji Radja R Thani Asma Al AA Ismail Said I SI Gharavi Ali G AG Abedalthagafi Malak S MS Richards J Brent JB Goldstein David B DB Kiryluk Krzysztof K
The Journal of clinical investigation 20210701 14
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 ...[more]