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; Jiyeon Choi

doi:10.1038/s41467-022-30650-8

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

Nat Commun. 2022 May 25;13(1):2907. doi: 10.1038/s41467-022-30650-8.

Authors

Erping Long¹, Montserrat García-Closas¹, Stephen J Chanock¹, M Constanza Camargo¹, Nicholas E Banovich², Jiyeon Choi³

Affiliations

¹ Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
² The Translational Genomics Research Institute, Phoenix, AZ, USA.
³ Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. jiyeon.choi2@nih.gov.

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.

Publication types

Research Support, N.I.H., Intramural

MeSH terms

Disease Susceptibility
Genetic Variation*
Genomics*
Humans