ArticleJournal of empirical research on human research ethics : JERHRE2017
Barriers and Strategies Related to Qualitative Research on Genetic Ancestry Testing in Indigenous Communities.
Article in Journal of empirical research on human research ethics : JERHRE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Virtual deliberation on genetics research: report-out of key themes from Diné (Navajo) research & healthcare professionals.Journal of community genetics · 2026Article
- Qualitative genomic research with Indigenous peoples: a scoping review of participatory practice.BMJ global health · 2024Article
- The Inclusion of Underrepresented Populations in Cardiovascular Genetics and Epidemiology.Journal of cardiovascular development and disease · 2024Review
- Adapting a conceptual framework to engage diverse stakeholders in genomic/precision medicine research.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- Strategies for culturally safe research with Native American communities: an integrative review.Contemporary nurse · 2022Review
- Impacts of personal DNA ancestry testing.Journal of community genetics · 2021Article
- Indigenous Genomic Databases: Pragmatic Considerations and Cultural Contexts.Frontiers in public health · 2020Article
- "We Don't Need a Swab in Our Mouth to Prove Who We Are": Identity, Resistance, and Adaptation of Genetic Ancestry Testing among Native American Communities.Current anthropology · 2019Article
- Perspectives on Precision Medicine in a Tribally Managed Primary Care Setting.AJOB empirical bioethicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Conducting genetics-related research with populations that have historically experienced considerable harm and little benefit from genetics research poses unique challenges for understanding community-based perceptions of new genetic technologies. This article identifies challenges and strategies for collecting qualitative data on the perceptions of direct-to-consumer (DTC) Genetic Ancestry tests (GAT) among diverse Indigenous communities. Based on a 3-year project related to perceptions, attitudes, and values associated with genetic ancestry testing among diverse Indigenous communities in Oklahoma, the engagement process revealed specific opportunities to improve the process of qualitative data collection related to GAT, and more broadly, to conduct genetics-related research with Indigenous communities in culturally and methodologically appropriate ways. Priority areas include issues related to participant recruitment and tribal advisory boards, challenges of self-identification as a recruitment mechanism, and the necessity of including Indigenous researchers in all aspects of the research process.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.