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A GWAS in the pandemic epicenter highlights the severe COVID-19 risk locus introgressed by Neanderthals
Large GWAS indicated that genetic factors influence the response to SARS-CoV-2. However, sex, age, concomitant diseases, differences in ancestry, and uneven exposure to the virus impacted the interpretation of data. We aimed to perform a GWAS of COVID-19 outcome in a homogeneous population who exper...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507134/ https://www.ncbi.nlm.nih.gov/pubmed/37731612 http://dx.doi.org/10.1016/j.isci.2023.107629 |
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author | Breno, Matteo Noris, Marina Rubis, Nadia Parvanova, Aneliya Ilieva Martinetti, Davide Gamba, Sara Liguori, Lucia Mele, Caterina Piras, Rossella Orisio, Silvia Valoti, Elisabetta Alberti, Marta Diadei, Olimpia Bresin, Elena Rigoldi, Miriam Prandini, Silvia Gamba, Tiziano Stucchi, Nadia Carrara, Fabiola Daina, Erica Benigni, Ariela Remuzzi, Giuseppe |
author_facet | Breno, Matteo Noris, Marina Rubis, Nadia Parvanova, Aneliya Ilieva Martinetti, Davide Gamba, Sara Liguori, Lucia Mele, Caterina Piras, Rossella Orisio, Silvia Valoti, Elisabetta Alberti, Marta Diadei, Olimpia Bresin, Elena Rigoldi, Miriam Prandini, Silvia Gamba, Tiziano Stucchi, Nadia Carrara, Fabiola Daina, Erica Benigni, Ariela Remuzzi, Giuseppe |
author_sort | Breno, Matteo |
collection | PubMed |
description | Large GWAS indicated that genetic factors influence the response to SARS-CoV-2. However, sex, age, concomitant diseases, differences in ancestry, and uneven exposure to the virus impacted the interpretation of data. We aimed to perform a GWAS of COVID-19 outcome in a homogeneous population who experienced a high exposure to the virus and with a known infection status. We recruited inhabitants of Bergamo province—that in spring 2020 was the epicenter of the SARS-Cov-2 pandemic in Europe—via an online questionnaire followed by personal interviews. Cases and controls were matched by age, sex and risk factors. We genotyped 1195 individuals and replicated the association at the 3p21.31 locus with severity, but with a stronger effect size that further increased in gravely ill patients. Transcriptome-wide association study highlighted eQTLs for LZTFL1 and CCR9. We also identified 17 loci not previously reported, suggestive for an association with either COVID-19 severity or susceptibility. |
format | Online Article Text |
id | pubmed-10507134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105071342023-09-20 A GWAS in the pandemic epicenter highlights the severe COVID-19 risk locus introgressed by Neanderthals Breno, Matteo Noris, Marina Rubis, Nadia Parvanova, Aneliya Ilieva Martinetti, Davide Gamba, Sara Liguori, Lucia Mele, Caterina Piras, Rossella Orisio, Silvia Valoti, Elisabetta Alberti, Marta Diadei, Olimpia Bresin, Elena Rigoldi, Miriam Prandini, Silvia Gamba, Tiziano Stucchi, Nadia Carrara, Fabiola Daina, Erica Benigni, Ariela Remuzzi, Giuseppe iScience Article Large GWAS indicated that genetic factors influence the response to SARS-CoV-2. However, sex, age, concomitant diseases, differences in ancestry, and uneven exposure to the virus impacted the interpretation of data. We aimed to perform a GWAS of COVID-19 outcome in a homogeneous population who experienced a high exposure to the virus and with a known infection status. We recruited inhabitants of Bergamo province—that in spring 2020 was the epicenter of the SARS-Cov-2 pandemic in Europe—via an online questionnaire followed by personal interviews. Cases and controls were matched by age, sex and risk factors. We genotyped 1195 individuals and replicated the association at the 3p21.31 locus with severity, but with a stronger effect size that further increased in gravely ill patients. Transcriptome-wide association study highlighted eQTLs for LZTFL1 and CCR9. We also identified 17 loci not previously reported, suggestive for an association with either COVID-19 severity or susceptibility. Elsevier 2023-08-16 /pmc/articles/PMC10507134/ /pubmed/37731612 http://dx.doi.org/10.1016/j.isci.2023.107629 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Breno, Matteo Noris, Marina Rubis, Nadia Parvanova, Aneliya Ilieva Martinetti, Davide Gamba, Sara Liguori, Lucia Mele, Caterina Piras, Rossella Orisio, Silvia Valoti, Elisabetta Alberti, Marta Diadei, Olimpia Bresin, Elena Rigoldi, Miriam Prandini, Silvia Gamba, Tiziano Stucchi, Nadia Carrara, Fabiola Daina, Erica Benigni, Ariela Remuzzi, Giuseppe A GWAS in the pandemic epicenter highlights the severe COVID-19 risk locus introgressed by Neanderthals |
title | A GWAS in the pandemic epicenter highlights the severe COVID-19 risk locus introgressed by Neanderthals |
title_full | A GWAS in the pandemic epicenter highlights the severe COVID-19 risk locus introgressed by Neanderthals |
title_fullStr | A GWAS in the pandemic epicenter highlights the severe COVID-19 risk locus introgressed by Neanderthals |
title_full_unstemmed | A GWAS in the pandemic epicenter highlights the severe COVID-19 risk locus introgressed by Neanderthals |
title_short | A GWAS in the pandemic epicenter highlights the severe COVID-19 risk locus introgressed by Neanderthals |
title_sort | gwas in the pandemic epicenter highlights the severe covid-19 risk locus introgressed by neanderthals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507134/ https://www.ncbi.nlm.nih.gov/pubmed/37731612 http://dx.doi.org/10.1016/j.isci.2023.107629 |
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