eLife (Feb 2023)

Regulatory dissection of the severe COVID-19 risk locus introgressed by Neanderthals

  • Evelyn Jagoda,
  • Davide Marnetto,
  • Gayani Senevirathne,
  • Victoria Gonzalez,
  • Kaushal Baid,
  • Francesco Montinaro,
  • Daniel Richard,
  • Darryl Falzarano,
  • Emmanuelle V LeBlanc,
  • Che C Colpitts,
  • Arinjay Banerjee,
  • Luca Pagani,
  • Terence D Capellini

DOI
https://doi.org/10.7554/eLife.71235
Journal volume & issue
Vol. 12

Abstract

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Individuals infected with the SARS-CoV-2 virus present with a wide variety of symptoms ranging from asymptomatic to severe and even lethal outcomes. Past research has revealed a genetic haplotype on chromosome 3 that entered the human population via introgression from Neanderthals as the strongest genetic risk factor for the severe response to COVID-19. However, the specific variants along this introgressed haplotype that contribute to this risk and the biological mechanisms that are involved remain unclear. Here, we assess the variants present on the risk haplotype for their likelihood of driving the genetic predisposition to severe COVID-19 outcomes. We do this by first exploring their impact on the regulation of genes involved in COVID-19 infection using a variety of population genetics and functional genomics tools. We then perform a locus-specific massively parallel reporter assay to individually assess the regulatory potential of each allele on the haplotype in a multipotent immune-related cell line. We ultimately reduce the set of over 600 linked genetic variants to identify four introgressed alleles that are strong functional candidates for driving the association between this locus and severe COVID-19. Using reporter assays in the presence/absence of SARS-CoV-2, we find evidence that these variants respond to viral infection. These variants likely drive the locus’ impact on severity by modulating the regulation of two critical chemokine receptor genes: CCR1 and CCR5. These alleles are ideal targets for future functional investigations into the interaction between host genomics and COVID-19 outcomes.

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