ArticlePersonalized medicine2021
Recommendations to researchers for aiding in increasing American Indian representation in genetic research and personalized medicine.
Article in Personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 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
- Barriers and unmet needs related to healthcare for American Indian and Alaska Native communities: improving access to specialty care and clinical trials.Frontiers in health services · 2025Review
- Competing interests: digital health and indigenous data sovereignty.NPJ digital medicine · 2024Review
- American Indian and Alaska Native recruitment strategies for health-related randomized controlled trials: A scoping review.PloS one · 2024Article
- Exploring Potential for a Personalized Medicine Approach to Smoking Cessation With an American Indian Tribe.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- Genetic research with Indigenous Peoples: perspectives on governance and oversight in the US.Frontiers in research metrics and analytics · 2023Article
- Centering racial justice for Black/African American and Indigenous American people in commercial tobacco product regulation.Preventive medicine · 2022Article
- Tribal Tobacco Use Project II: Planning, Implementation, and Dissemination Using Culturally Relevant Data Collection among American Indian Communities.International journal of environmental research and public health · 2022Article
- Is there a way to reduce the inequity in variant interpretation on the basis of ancestry?American journal of human genetics · 2022Article
- Applying an equity lens to pharmacogenetic research and translation to under-represented populations.Clinical and translational science · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Increasing American Indian/Alaska Native (AI/AN) representation in genetic research is critical to ensuring that personalized medicine discoveries do not widen AI/AN health disparities by only benefiting well-represented populations. One reason for the under-representation of AIs/ANs in research is warranted research distrust due to abuse of some AI/AN communities in research. An approach to easing the tension between protecting AI/AN communities and increasing the representation of AI/AN persons in genetic research is community-based participatory research. This approach was used in a collaboration between a tribe and academic researchers in efforts to increase AI/AN participation in genetic research. From the lessons learned, the authors propose recommendations to researchers that may aid in conducting collaborative and respectful research with AI/AN tribes/communities and ultimately assist in increasing representation of AIs/ANs in personalized medicine discoveries.
Indexed as
Identifiers
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.