Opportunities amid complexities in returning genetic results to black precision medicine research participants: Interview themes in context with open all of us data
Rachele M. Hendricks-Sturrup, Nora Emmott, Maryam Nafie, Stephanie Argetsinger, Lauren Edgar, Tracey Johnson-Glover, Kurt D. Christensen

TL;DR
This study explores how Black participants in precision medicine view genetic results and connects their perspectives with genetic data from the All of Us program.
Contribution
The study provides new insights into Black participants' perspectives on genetic results and contextualizes them with pharmacogenomic and hereditary disease data from African ancestry populations.
Findings
Five subthemes emerged from interviews about returning genetic results to Black participants.
Seven alleles with frequencies ≥0.10 were identified for pharmacogenomic biomarkers in African ancestry populations.
Four alleles with frequencies ≥0.10 were found for genes related to hereditary disease risk.
Abstract
We sought to describe perspectives among Black nursing professionals and community leaders regarding the return of genetic test results, and place perspectives into context with aggregated findings in the All of Us Research Program’s Data Browser. Semi-structured, virtual interviews were held with adults (≥18 years of age) self-identifying as Black. A 2-step thematic analysis process was used to assess interviewee perspectives with (sub)themes identified in the literature across two topics: drug/medication response and hereditary disease risk. Themes were placed into context with Data Browser content, focusing on genes and their respective alleles with frequencies ≥0.10 in African ancestry populations in All of Us. Interviewee perspectives aligned with previously identified major themes in the literature (motivations to engage or disengage; integrating research and care), with five…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsGenetics, Bioinformatics, and Biomedical Research
