dc.contributor.author | Esteban, María Esther | |
dc.contributor.author | Pino, Débora | |
dc.contributor.author | Romero-Lorca, Alicia | |
dc.contributor.author | Novillo, Apolonia | |
dc.contributor.author | Gaibar, Mría | |
dc.contributor.author | Riancho Moral, José Antonio | |
dc.contributor.author | Rojas-Martínez, Augusto | |
dc.contributor.author | Flores, Carlos | |
dc.contributor.author | Lapunzina, Pablo | |
dc.contributor.author | Carracedo, Ángel | |
dc.contributor.author | Athanasiadis, Georgios | |
dc.contributor.author | Fernández-Santander, Ana | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2024-11-07T17:16:15Z | |
dc.date.available | 2024-11-07T17:16:15Z | |
dc.date.issued | 2024 | |
dc.identifier.issn | 0301-4460 | |
dc.identifier.issn | 1464-5033 | |
dc.identifier.uri | https://hdl.handle.net/10902/34434 | |
dc.description.abstract | Background: Genome-wide association studies of COVID-19 severity have been carried out mostly on European or East Asian populations with small representation of other world regions. Here we explore the worldwide distribution and linkage disequilibrium (LD) patterns of genetic variants previously associated with COVID-19 severity.
Methods: We followed up the results of a large Spanish genome-wide meta-analysis on 26 populations from the 1000 Genomes Project by calculating allele frequencies and LD scores of the nine most significant SNPs. We also used the entire set of summary statistics to compute polygenic risk scores (PRSs) and carried out comparisons at the population and continental level.
Results: We observed the strongest differences among continental regions for the five top SNPs in chromosome 3. European, American, and South Asian populations showed similar LD patterns. Average PRSs in South Asian and American populations were consistently higher than those observed in Europeans. While PRS distributions were similar among South Asians, the American populations showed striking differences among them.
Conclusions: Considering the caveats of PRS transferability across ethnicities, our analysis showed that American populations present the highest genetic risk score, hence potentially higher propensity, for COVID-19 severity. Independent validation is warranted with additional summary statistics and phenotype data. | es_ES |
dc.description.sponsorship | Funding: This work was supported by the Generalitat de Catalunya via a Consolidated Research Group grant (2021-SGR-00706); the Fundación Amancio Ortega Gaona, Banco de Santander S.A. and Instituto de Salud Carlos III (COV20/00622) and the European Regional Development Fund. Genotyping was carried out at CEGEN-PRB3-ISCIII, supported by grant PT17/0019, of the PE I+D+i 2013–2016, funded by ISCIII and ERDF. | es_ES |
dc.format.extent | 9 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Taylor & Francis | es_ES |
dc.rights | © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Annals of Human Biology, 2024, 51(1) | es_ES |
dc.subject.other | SARS-CoV-2 | es_ES |
dc.subject.other | GWAS | es_ES |
dc.subject.other | PRS distributions | es_ES |
dc.subject.other | Linkage disequilibrium scores | es_ES |
dc.title | Worldwide distribution of genetic factors related to severity of COVID-19 infection | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1080/03014460.2024.2366248 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.1080/03014460.2024.2366248 | |
dc.type.version | publishedVersion | es_ES |