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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

Nature communications, 2022-05, Vol.13 (1), p.2907-2907, Article 2907 [Peer Reviewed Journal]

England: Nature Publishing Group

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Title:
The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility
Author: Long, Erping ; García-Closas, Montserrat ; Chanock, Stephen J ; Camargo, M Constanza ; Banovich, Nicholas E ; Choi, Jiyeon
Subjects: Comment ; Datasets ; Disease Susceptibility ; Gene mapping ; Gene regulation ; Genetic Variation ; Genomics ; Humans ; Quantitative trait loci ; Tissues
Is Part Of: Nature communications, 2022-05, Vol.13 (1), p.2907-2907, Article 2907
Notes: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
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.
Publisher: England: Nature Publishing Group
Language: English

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