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Recommendations to researchers for aiding in increasing American Indian representation in genetic research and personalized medicine.

Dana Mowls CarrollCarol HernandezGreg BraatenEllen MeierPamala JacobsonAbbie BegnaudErin McGonagleLinda Bane FrizzellDorothy K Hatsukami
Published in: Personalized medicine (2020)
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.
Keyphrases
  • artificial intelligence
  • genome wide
  • machine learning
  • copy number
  • deep learning
  • public health
  • mental health
  • physical activity
  • neural network
  • dna methylation
  • risk assessment
  • health insurance