Conference proceeding

Impact of natural selection on global patterns of genetic variation, and association with clinical phenotypes, at genes involved in SARS-CoV-2 infection.


Research Areas

Currently no objects available


Publication Details

Editor list: Chao Zhang, Anurag Verma, Yuanqing Feng, Marcelo Cardoso Dos Reis Melo, Michael McQuillan, Matthew Hansen, Anastasia Lucas, Joseph Park, Alessia Ranciaro, Simon Thompson, Meghan Rubel, Michael Campbell, William Beggs, Jibril Hirbo, Sununguko Wata Mpoloka, Gaonyadiwe George Mokone, Marcus Jones, Thomas Nyambo, Dawit Wolde Meskel, Gurja Belay, Charles Fokunang, Alfred Njamnshi, Sabah Omar, Scott Williams, Daniel Rader, Marylyn Ritchie, Cesar de la Fuente, Giorgio Sirugo, Sarah Tishkoff

Publisher: Proceedings of the National Academy of Sciences of the United States of America

Place: Washington, DC : National Academy of Sciences

Publication year: 2021

Journal name in source: medRxiv : the preprint server for health sciences

Journal acronym: medRxiv

ISBN: 0027-8424

eISBN: 1091-6490

URL: https://pubmed.ncbi.nlm.nih.gov/35580180/

Languages: English



Human genomic diversity has been shaped by both ancient and ongoing challenges from viruses. The current coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had a devastating impact on population health. However, genetic diversity and evolutionary forces impacting host genes related to SARS-CoV-2 infection are not well understood. We investigated global patterns of genetic variation and signatures of natural selection at host genes relevant to SARS-CoV-2 infection (angiotensin converting enzyme 2 [ACE2], transmembrane protease serine 2 [TMPRSS2], dipeptidyl peptidase 4 [DPP4], and lymphocyte antigen 6 complex locus E [LY6E]). We analyzed data from 2,012 ethnically diverse Africans and 15,977 individuals of European and African ancestry with electronic health records and integrated with global data from the 1000 Genomes Project. At ACE2, we identified 41 nonsynonymous variants that were rare in most populations, several of which impact protein function. However, three nonsynonymous variants (rs138390800, rs147311723, and rs145437639) were common among central African hunter-gatherers from Cameroon (minor allele frequency 0.083 to 0.164) and are on haplotypes that exhibit signatures of positive selection. We identify signatures of selection impacting variation at regulatory regions influencing ACE2 expression in multiple African populations. At TMPRSS2, we identified 13 amino acid changes that are adaptive and specific to the human lineage compared with the chimpanzee genome. Genetic variants that are targets of natural selection are associated with clinical phenotypes common in patients with COVID-19. Our study provides insights into global variation at host genes related to SARS-CoV-2 infection, which have been shaped by natural selection in some populations, possibly due to prior viral infections.

Keywords: African diversity; SARS-CoV-2/COVID-19; genetic variation; natural selection; phenotype association.


Projects

Currently no objects available


Keywords

Currently no objects available


Documents

Currently no objects available


Last updated on 2022-29-11 at 11:33