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COVID-19 research risks ignoring important host genes due to pre-established research patterns

It is known that research into human genes is heavily skewed towards genes that have been widely studied for decades, including many genes that were being studied before the productive phase of the Human Genome Project. This means that the genes most frequently investigated by the research community...

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Detalles Bibliográficos
Autores principales: Stoeger, Thomas, Nunes Amaral, Luís A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685703/
https://www.ncbi.nlm.nih.gov/pubmed/33231169
http://dx.doi.org/10.7554/eLife.61981
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author Stoeger, Thomas
Nunes Amaral, Luís A
author_facet Stoeger, Thomas
Nunes Amaral, Luís A
author_sort Stoeger, Thomas
collection PubMed
description It is known that research into human genes is heavily skewed towards genes that have been widely studied for decades, including many genes that were being studied before the productive phase of the Human Genome Project. This means that the genes most frequently investigated by the research community tend to be only marginally more important to human physiology and disease than a random selection of genes. Based on an analysis of 10,395 research publications about SARS-CoV-2 that mention at least one human gene, we report here that the COVID-19 literature up to mid-October 2020 follows a similar pattern. This means that a large number of host genes that have been implicated in SARS-CoV-2 infection by four genome-wide studies remain unstudied. While quantifying the consequences of this neglect is not possible, they could be significant.
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spelling pubmed-76857032020-11-30 COVID-19 research risks ignoring important host genes due to pre-established research patterns Stoeger, Thomas Nunes Amaral, Luís A eLife Computational and Systems Biology It is known that research into human genes is heavily skewed towards genes that have been widely studied for decades, including many genes that were being studied before the productive phase of the Human Genome Project. This means that the genes most frequently investigated by the research community tend to be only marginally more important to human physiology and disease than a random selection of genes. Based on an analysis of 10,395 research publications about SARS-CoV-2 that mention at least one human gene, we report here that the COVID-19 literature up to mid-October 2020 follows a similar pattern. This means that a large number of host genes that have been implicated in SARS-CoV-2 infection by four genome-wide studies remain unstudied. While quantifying the consequences of this neglect is not possible, they could be significant. eLife Sciences Publications, Ltd 2020-11-24 /pmc/articles/PMC7685703/ /pubmed/33231169 http://dx.doi.org/10.7554/eLife.61981 Text en © 2020, Stoeger and Nunes Amaral http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Stoeger, Thomas
Nunes Amaral, Luís A
COVID-19 research risks ignoring important host genes due to pre-established research patterns
title COVID-19 research risks ignoring important host genes due to pre-established research patterns
title_full COVID-19 research risks ignoring important host genes due to pre-established research patterns
title_fullStr COVID-19 research risks ignoring important host genes due to pre-established research patterns
title_full_unstemmed COVID-19 research risks ignoring important host genes due to pre-established research patterns
title_short COVID-19 research risks ignoring important host genes due to pre-established research patterns
title_sort covid-19 research risks ignoring important host genes due to pre-established research patterns
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685703/
https://www.ncbi.nlm.nih.gov/pubmed/33231169
http://dx.doi.org/10.7554/eLife.61981
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AT nunesamaralluisa covid19researchrisksignoringimportanthostgenesduetopreestablishedresearchpatterns