The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility

Tissue-based functional genomics resources including molecular quantitative trait loci datasets lack diversity in ancestry and tissue types and thus are inadequate for comprehensively investigating gene regulation. Global efforts to increase the tissue diversity will help achieve more equitable medi...

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Autores principales: Long, Erping, García-Closas, Montserrat, Chanock, Stephen J., Camargo, M. Constanza, Banovich, Nicholas E., Choi, Jiyeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133089/
https://www.ncbi.nlm.nih.gov/pubmed/35614099
http://dx.doi.org/10.1038/s41467-022-30650-8
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author Long, Erping
García-Closas, Montserrat
Chanock, Stephen J.
Camargo, M. Constanza
Banovich, Nicholas E.
Choi, Jiyeon
author_facet Long, Erping
García-Closas, Montserrat
Chanock, Stephen J.
Camargo, M. Constanza
Banovich, Nicholas E.
Choi, Jiyeon
author_sort Long, Erping
collection PubMed
description Tissue-based functional genomics resources including molecular quantitative trait loci datasets lack diversity in ancestry and tissue types and thus are inadequate for comprehensively investigating gene regulation. Global efforts to increase the tissue diversity will help achieve more equitable medical care.
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spelling pubmed-91330892022-05-27 The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility Long, Erping García-Closas, Montserrat Chanock, Stephen J. Camargo, M. Constanza Banovich, Nicholas E. Choi, Jiyeon Nat Commun Comment Tissue-based functional genomics resources including molecular quantitative trait loci datasets lack diversity in ancestry and tissue types and thus are inadequate for comprehensively investigating gene regulation. Global efforts to increase the tissue diversity will help achieve more equitable medical care. Nature Publishing Group UK 2022-05-25 /pmc/articles/PMC9133089/ /pubmed/35614099 http://dx.doi.org/10.1038/s41467-022-30650-8 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Comment
Long, Erping
García-Closas, Montserrat
Chanock, Stephen J.
Camargo, M. Constanza
Banovich, Nicholas E.
Choi, Jiyeon
The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility
title The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility
title_full The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility
title_fullStr The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility
title_full_unstemmed The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility
title_short The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility
title_sort case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133089/
https://www.ncbi.nlm.nih.gov/pubmed/35614099
http://dx.doi.org/10.1038/s41467-022-30650-8
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