Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity
Abstract SARS-CoV-2 has infected over 340 million people, prompting therapeutic research. While genetic studies can highlight potential drug targets, understanding the heritability of SARS-CoV-2 susceptibility and COVID-19 severity can contextualize their results. To date, loci from meta-analyses ex...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-44250-7 |
| _version_ | 1797355676265086976 |
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| author | Kathleen LaRow Brown Vijendra Ramlall Michael Zietz Undina Gisladottir Nicholas P. Tatonetti |
| author_facet | Kathleen LaRow Brown Vijendra Ramlall Michael Zietz Undina Gisladottir Nicholas P. Tatonetti |
| author_sort | Kathleen LaRow Brown |
| collection | DOAJ |
| description | Abstract SARS-CoV-2 has infected over 340 million people, prompting therapeutic research. While genetic studies can highlight potential drug targets, understanding the heritability of SARS-CoV-2 susceptibility and COVID-19 severity can contextualize their results. To date, loci from meta-analyses explain 1.2% and 5.8% of variation in susceptibility and severity respectively. Here we estimate the importance of shared environment and additive genetic variation to SARS-CoV-2 susceptibility and COVID-19 severity using pedigree data, PCR results, and hospitalization information. The relative importance of genetics and shared environment for susceptibility shifted during the study, with heritability ranging from 33% (95% CI: 20%-46%) to 70% (95% CI: 63%-74%). Heritability was greater for days hospitalized with COVID-19 (41%, 95% CI: 33%-57%) compared to shared environment (33%, 95% CI: 24%-38%). While our estimates suggest these genetic architectures are not fully understood, the shift in susceptibility estimates highlights the challenge of estimation during a pandemic, given environmental fluctuations and vaccine introduction. |
| first_indexed | 2024-03-08T14:14:32Z |
| format | Article |
| id | doaj.art-ca2d0a450d174afaaf13292d770c4e4c |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-08T14:14:32Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-ca2d0a450d174afaaf13292d770c4e4c2024-01-14T12:29:25ZengNature PortfolioNature Communications2041-17232024-01-011511710.1038/s41467-023-44250-7Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severityKathleen LaRow Brown0Vijendra Ramlall1Michael Zietz2Undina Gisladottir3Nicholas P. Tatonetti4Department of Biomedical Informatics, Columbia UniversityDepartment of Biomedical Informatics, Columbia UniversityDepartment of Biomedical Informatics, Columbia UniversityDepartment of Biomedical Informatics, Columbia UniversityDepartment of Biomedical Informatics, Columbia UniversityAbstract SARS-CoV-2 has infected over 340 million people, prompting therapeutic research. While genetic studies can highlight potential drug targets, understanding the heritability of SARS-CoV-2 susceptibility and COVID-19 severity can contextualize their results. To date, loci from meta-analyses explain 1.2% and 5.8% of variation in susceptibility and severity respectively. Here we estimate the importance of shared environment and additive genetic variation to SARS-CoV-2 susceptibility and COVID-19 severity using pedigree data, PCR results, and hospitalization information. The relative importance of genetics and shared environment for susceptibility shifted during the study, with heritability ranging from 33% (95% CI: 20%-46%) to 70% (95% CI: 63%-74%). Heritability was greater for days hospitalized with COVID-19 (41%, 95% CI: 33%-57%) compared to shared environment (33%, 95% CI: 24%-38%). While our estimates suggest these genetic architectures are not fully understood, the shift in susceptibility estimates highlights the challenge of estimation during a pandemic, given environmental fluctuations and vaccine introduction.https://doi.org/10.1038/s41467-023-44250-7 |
| spellingShingle | Kathleen LaRow Brown Vijendra Ramlall Michael Zietz Undina Gisladottir Nicholas P. Tatonetti Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity Nature Communications |
| title | Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity |
| title_full | Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity |
| title_fullStr | Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity |
| title_full_unstemmed | Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity |
| title_short | Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity |
| title_sort | estimating the heritability of sars cov 2 susceptibility and covid 19 severity |
| url | https://doi.org/10.1038/s41467-023-44250-7 |
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