SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Cell Rep. 2021 Nov 16;37(7):110020. doi: 10.1016/j.celrep.2021.110020. Epub 2021 Nov 3.

Abstract

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types.

Keywords: COVID-19; GWAS; SARS-CoV-2; colocalization; eQTL.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19 / genetics*
  • Chromosome Mapping / methods
  • Computational Biology / methods
  • Databases, Genetic
  • Ethnicity / genetics
  • Gene Expression / genetics
  • Gene Expression Profiling / methods
  • Genetic Predisposition to Disease / genetics
  • Genetic Variation / genetics
  • Genome-Wide Association Study / methods
  • Humans
  • Organ Specificity / genetics
  • Polymorphism, Single Nucleotide / genetics
  • Quantitative Trait Loci / genetics
  • SARS-CoV-2 / genetics*
  • SARS-CoV-2 / pathogenicity
  • Severity of Illness Index
  • Transcriptome / genetics