多样性(政治)
人类遗传变异
生物
基因组学
透视图(图形)
遗传多样性
功能基因组学
进化生物学
人类遗传学
功能(生物学)
功能多样性
数据科学
计算生物学
遗传学
人类基因组
基因组
人口
社会学
基因
计算机科学
人类学
生态学
人口学
人工智能
作者
Sophia George,Alejandra Medina-Rivera,Youssef Idaghdour,Tuuli Lappalainen,Irene Gallego Romero
标识
DOI:10.1016/j.ajhg.2023.10.012
摘要
In this perspective we discuss the current lack of genetic and environmental diversity in functional genomics datasets. There is a well-described Eurocentric bias in genetic and functional genomic research that has a clear impact on the benefit this research can bring to underrepresented populations. Current research focused on genetic variant-to-function experiments aims to identify molecular QTLs, but the lack of data from genetically diverse individuals has limited analyses to mostly populations of European ancestry. Although some efforts have been established to increase diversity in functional genomic studies, much remains to be done to consistently generate data for underrepresented populations from now on. We discuss the major barriers for this continuity and suggest actionable insights, aiming to empower research and researchers from underserved populations.
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