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A year of COVID-19 GWAS results from the GRASP portal reveals potential genetic risk factors. | LitMetric

A year of COVID-19 GWAS results from the GRASP portal reveals potential genetic risk factors.

HGG Adv

Division of Intramural Research, Population Sciences Branch, Framingham, MA 01702, USA.

Published: April 2022

Host genetic variants influence the susceptibility and severity of several infectious diseases, and the discovery of genetic associations with coronavirus disease 2019 (COVID-19) phenotypes could help to develop new therapeutic strategies to decrease its burden. Between May 2020 and June 2021, we used COVID-19 data released periodically by UK Biobank and performed 65 genome-wide association studies in up to 18 releases of COVID-19 susceptibility (n = 18,481 cases in June 2021), hospitalization (n = 3,260), severe outcomes (n = 1,244), and deaths (n = 1,104), stratified by sex and ancestry. In coherence with previous studies, we observed two independent signals at the chr3p21.31 locus (rs73062389-A, odds ratio [OR], 1.21 (P = 4.26 × 10) and rs71325088-C, OR, 1.62 [P = 2.25 × 10]) modulating susceptibility and severity, respectively, and a signal influencing susceptibility at the locus (rs9411378-A; OR, 1.10; P = 3.30 × 10), suggesting an increased risk of infection in non-O blood groups carriers. Additional signals at the (associated with severity and death) (susceptibility in non-European) and chr2q32.3 (susceptibility in women) loci were also identified, but did not replicate in independent datasets. We then devised an approach to extract variants suggestively associated (P < 10), exhibiting an increase in significance over time. When applied to the susceptibility, hospitalization and severity analyses, this approach revealed the known , , and loci, respectively, among hundreds of other signals. These results, freely available on the GRASP portal, provide insights on the genetic mechanisms involved in COVID-19 phenotypes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863308PMC
http://dx.doi.org/10.1016/j.xhgg.2022.100095DOI Listing

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