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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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