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A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases

Despite remarkable strides in microbiome research, the viral component of the microbiome has generally presented a more challenging target than the bacteriome. This gap persists, even though many thousands of shotgun sequencing runs from human metagenomic samples exist in public databases, and all o...

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Detalles Bibliográficos
Autores principales: Tisza, Michael J., Buck, Christopher B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201803/
https://www.ncbi.nlm.nih.gov/pubmed/34083435
http://dx.doi.org/10.1073/pnas.2023202118
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author Tisza, Michael J.
Buck, Christopher B.
author_facet Tisza, Michael J.
Buck, Christopher B.
author_sort Tisza, Michael J.
collection PubMed
description Despite remarkable strides in microbiome research, the viral component of the microbiome has generally presented a more challenging target than the bacteriome. This gap persists, even though many thousands of shotgun sequencing runs from human metagenomic samples exist in public databases, and all of them encompass large amounts of viral sequence data. The lack of a comprehensive database for human-associated viruses has historically stymied efforts to interrogate the impact of the virome on human health. This study probes thousands of datasets to uncover sequences from over 45,000 unique virus taxa, with historically high per-genome completeness. Large publicly available case-control studies are reanalyzed, and over 2,200 strong virus–disease associations are found.
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spelling pubmed-82018032021-06-24 A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases Tisza, Michael J. Buck, Christopher B. Proc Natl Acad Sci U S A Biological Sciences Despite remarkable strides in microbiome research, the viral component of the microbiome has generally presented a more challenging target than the bacteriome. This gap persists, even though many thousands of shotgun sequencing runs from human metagenomic samples exist in public databases, and all of them encompass large amounts of viral sequence data. The lack of a comprehensive database for human-associated viruses has historically stymied efforts to interrogate the impact of the virome on human health. This study probes thousands of datasets to uncover sequences from over 45,000 unique virus taxa, with historically high per-genome completeness. Large publicly available case-control studies are reanalyzed, and over 2,200 strong virus–disease associations are found. National Academy of Sciences 2021-06-08 2021-06-03 /pmc/articles/PMC8201803/ /pubmed/34083435 http://dx.doi.org/10.1073/pnas.2023202118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Tisza, Michael J.
Buck, Christopher B.
A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases
title A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases
title_full A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases
title_fullStr A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases
title_full_unstemmed A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases
title_short A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases
title_sort catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201803/
https://www.ncbi.nlm.nih.gov/pubmed/34083435
http://dx.doi.org/10.1073/pnas.2023202118
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