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

Erping Long, Montserrat García-Closas, Stephen J. Chanock, M. Constanza Camargo, Nicholas E. Banovich and Jiyeon Choi ()
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Erping Long: National Cancer Institute, National Institutes of Health
Montserrat García-Closas: National Cancer Institute, National Institutes of Health
Stephen J. Chanock: National Cancer Institute, National Institutes of Health
M. Constanza Camargo: National Cancer Institute, National Institutes of Health
Nicholas E. Banovich: The Translational Genomics Research Institute
Jiyeon Choi: National Cancer Institute, National Institutes of Health

Nature Communications, 2022, vol. 13, issue 1, 1-4

Abstract: 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.

Date: 2022
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DOI: 10.1038/s41467-022-30650-8

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