Ontology highlight
ABSTRACT:
SUBMITTER: Povysil G
PROVIDER: S-EPMC7781338 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Povysil Gundula G Butler-Laporte Guillaume G Shang Ning N Weng Chen C Khan Atlas A Alaamery Manal M Nakanishi Tomoko T Zhou Sirui S Forgetta Vincenzo V Eveleigh Robert R Bourgey Mathieu M Aziz Naveed N Jones Steven S Knoppers Bartha B Scherer Stephen S Strug Lisa L 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 Almutair Mansour M Mahmoud Ebrahim Sabri ES Safie Leen Abu LA Bardisy Hadeel El HE Al Harthi Fawz S FS Alshareef Abdulraheem A Suliman Bandar Ali BA Alqahtani Saleh S AlMalik Abdulaziz A Alrashed May M MM Massadeh Salam S Mooser Vincent V Lathrop Mark M Arabi Yaseen Y Mbarek Hamdi H Saad Chadi C Al-Muftah Wadha W Badji Radja R Al Thani Asma A Ismail Said I SI Gharavi Ali G AG Abedalthagafi Malak S MS Richards J Brent JB Goldstein David B DB Kiryluk Krzysztof K
medRxiv : the preprint server for health sciences 20201221
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 1,934 COVID-19 cases (713 with severe and 1,221 with mild disease) and 15,251 ancestry-matched population controls across four independent COVID-19 biobanks. We then tested if rare pLOF variants in these 13 genes were associated with severe COVID-19. ...[more]