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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Erping Long & Montserrat García-Closas & Stephen J. Chanock & M. Constanza Camargo & Nicholas E. Banovich & Jiyeon Choi, 2022. "The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30650-8
    DOI: 10.1038/s41467-022-30650-8
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    References listed on IDEAS

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    1. Orit Rozenblatt-Rosen & Michael J. T. Stubbington & Aviv Regev & Sarah A. Teichmann, 2017. "The Human Cell Atlas: from vision to reality," Nature, Nature, vol. 550(7677), pages 451-453, October.
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