Table 2.

Examples of ongoing efforts to collect more ancestrally diverse biomedical data

Project	Disease/ phenotype	Data type	Populationsa	Reference(s)	URL
All of Us	Various	Genome sequence, omics data, and EHR	Black, African American or African; Asian; Hispanic Latino or Spanish; and White	2, 129	https://allofus.nih.gov/
Ancestry Networks for the Human Cell Atlas	Healthy human cell	Single-cell multiomics	African, African American, Afro-Caribbean, Asian, Latinx, and Middle Eastern populations	130	https://chanzuckerberg.com/rfa/ancestry-networks-human-cell-atlas/
Global Biobank Meta-Analysis Initiative	Various	Genotype and EHR	Global populations	131	https://www.globalbiobankmeta.org/
H3 Africa	Various	Genotype and EHR	African	132	https://h3africa.org/
The PAGE Study	Various	Genotype and phenotype	African American, Asian, Hispanic/Latino, Native American, Native Hawaiian	133	https://www.pagestudy.org/
TOPMed	Heart, lung, blood, and sleep disorders	Multiomics	African, Asian, European, and Hispanic/Latino ancestry populations	134	https://topmed.nhlbi.nih.gov/
WW-ADNI	Alzheimer’s disease	Genotype and image	Argentina, Australia, Canada, China, Japan, Korea, Mexico, North America, and Taiwan	118	https://www.alz.org/research/for_researchers/partnerships/wwadni

^aThe original terms from the information sources are used.

^bThe Global Biobank Meta-Analysis Initiative includes 24 biobanks with more than 2.2 million genotyped samples (as of January 2023) from different origins and ancestries (https://www.globalbiobankmeta.org/). Of the 24 biobanks, 9 are in North America, 8 are in Europe, 5 are in Asia, 1 is in Africa, and 1 is in Australia.

Abbreviations: EHR, electronic health record; H3 Africa, Human Heredity and Health in Africa; PAGE, Population Architecture using Genomics and Epidemiology; TOPMed, Trans-Omics for Precision Medicine; WW-ADNI, Worldwide Alzheimer’s Disease Neuroimaging Initiative.