AncestryDNA COVID-19 Host Genetic Study Identifies Three Novel Loci
Preprint
Abstract
Human infection with SARS-CoV-2, the causative agent of COVID-19, leads to a remarkably diverse spectrum of outcomes, ranging from asymptomatic to fatal. Recent reports suggest that both clinical and genetic risk factors may contribute to COVID-19 susceptibility and severity. To investigate genetic risk factors, we collected over 500,000 COVID-19 survey responses between April and May 2020 with accompanying genetic data from the AncestryDNA database. We conducted sex-stratified and meta-analyzed genome-wide association studies (GWAS) for COVID-19 susceptibility (positive nasopharyngeal swab test, n cases =2,407) and severity (hospitalization, n cases =250). The severity GWAS replicated associations with severe COVID-19 near ABO and SLC6A20 ( P P −8 . The strongest association was near IVNS1ABP , a gene involved in influenza virus replication 1 , and was associated only in males. The other two novel loci harbor genes with established roles in viral replication or immunity: SRRM1 and the immunoglobulin lambda locus. We thus present new evidence that host genetic variation likely contributes to COVID-19 outcomes and demonstrate the value of large-scale, self-reported data as a mechanism to rapidly address a health crisis.Keywords
This publication has 27 references indexed in Scilit:
- Reference-based phasing using the Haplotype Reference Consortium panelNature Genetics, 2016
- Expression of non-structural-1A binding protein in lung epithelial cells is modulated by miRNA-548an on exposure to influenza A virusVirology, 2013
- Quantitative Phosphoproteomics Reveals Extensive Cellular Reprogramming during HIV-1 EntryCell Host & Microbe, 2013
- Estimating Missing Heritability for Disease from Genome-wide Association StudiesThe American Journal of Human Genetics, 2011
- GCTA: A Tool for Genome-wide Complex Trait AnalysisThe American Journal of Human Genetics, 2011
- METAL: fast and efficient meta-analysis of genomewide association scansBioinformatics, 2010
- Common SNPs explain a large proportion of the heritability for human heightNature Genetics, 2010
- Quantifying and correcting for the winner's curse in genetic association studiesGenetic Epidemiology, 2009
- Estimation of the multiple testing burden for genomewide association studies of nearly all common variantsGenetic Epidemiology, 2008
- Heritability in the genomics era — concepts and misconceptionsNature Reviews Genetics, 2008