Project 1: BRAICELET- Bio-Repository for American Indian Capacity, Education, Law, Economics and Technology. To help reduce the myriad of health disparities in American Indian populations, this proposal's primary aim focuses on the establishment of the first tribally-owned biobank as a conduit for education on the benefits of precision medicine and big-data health science. Here, BRAICELET- Bio-Repository for American Indian Capacity, Education, Law, Economics and Technology will be initiated with the eminent Lakota Sioux community. This will serve as a proof of principle study on how educative and capacity building methods can promote long term self-sustainability and autonomy on advanced health care practices and management. The Stanford Biobank HIMC (Human Immune Monitoring Center) will act as a blueprint, whereby best lab protocols and secure database management programs will be adapted to include Lakota language and cultural/ceremonial practices. This proposal has the advantage of an ongoing collaboration with the Lakota community for an ?omics study on rheumatoid arthritis (RA) called SAIL (Studies in Autoimmune Illnesses with the Lakota). As an extension of our SAIL partnership (AIM 2), an additional 200 samples will be accrued from the community and will act as the first bio-specimens that will be collected, tested (genotype and transcriptome partnered with Stanford) stored and managed at BRAICELET. A focus on progress and dissemination of this SAIL ?omics work will be embedded in the third aim of this proposal. This will be done first through creating a health science literacy and education curriculum adopted from Stanford's ?big data? course program and tailored to the Lakota grassroots community and health care workers. Courses will include big data ethics, disease risk assessment through ?omics analysis and the advantages of pharmacogenetics. To monitor if genetics and precision medicine course information is effectively communicated with the Lakota members, a five point knowledge assessment method/questionnaire will be used with BRAICELET recruiters and SAIL participants. An iterative evaluation of this questionnaire will assess progress and actively implement improvements to the curriculum. The growing attention to environmental, climate/geography and socio-economic relationships with genetic health data is now at the national and international level. BRAICELET takes this into account with context of geography, culture and environmental exposure of one group, in one place. This greatly increases the power, validity and usefulness of conclusions from precision medicine research studies. A bio-repository is an opportunity for tribal nations to retain & manage their own biological material on-site and further learn and define for themselves the benefits of big-data health science. Undoubtedly, an American Indian representation, scientific/cultural/political exchange and perspective will be of great value.

National Institute of Health (NIH)
National Institute on Minority Health and Health Disparities (NIMHD)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZMD1)
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Stanford University
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Basu, Sanjay; Raghavan, Sridharan; Wexler, Deborah J et al. (2018) Characteristics Associated With Decreased or Increased Mortality Risk From Glycemic Therapy Among Patients With Type 2 Diabetes and High Cardiovascular Risk: Machine Learning Analysis of the ACCORD Trial. Diabetes Care 41:604-612
Periyakoil, V J (2018) Square Pegs; Round Holes: Our Healthcare System Is Failing Seriously Ill Older Americans in Their Last Years. J Am Geriatr Soc 66:15-17
Bendavid, Eran (2018) The fog of development: evaluating the Millennium Villages Project. Lancet Glob Health 6:e470-e471
Berkowitz, Seth A; Basu, Sanjay; Meigs, James B et al. (2018) Food Insecurity and Health Care Expenditures in the United States, 2011-2013. Health Serv Res 53:1600-1620
Rigdon, Joseph; Baiocchi, Michael; Basu, Sanjay (2018) Preventing false discovery of heterogeneous treatment effect subgroups in randomized trials. Trials 19:382
Smith, Alexander K; Periyakoil, Vyjeyanthi S (2018) Should We Bury ""The Good Death""? J Am Geriatr Soc 66:856-858
Basu, Sanjay; Sussman, Jeremy B; Berkowitz, Seth A et al. (2018) Validation of Risk Equations for Complications of Type 2 Diabetes (RECODe) Using Individual Participant Data From Diverse Longitudinal Cohorts in the U.S. Diabetes Care 41:586-595
Salloum, Naji C; Buchalter, Erica Lf; Chanani, Swati et al. (2018) From genes to treatments: a systematic review of the pharmacogenetics in smoking cessation. Pharmacogenomics 19:861-871
Rhines, Allison S; Feldman, Marcus W; Bendavid, Eran (2018) Modeling the implementation of population-level isoniazid preventive therapy for tuberculosis control in a high HIV-prevalence setting. AIDS 32:2129-2140
Patel, Chirag J; Bhattacharya, Jay; Ioannidis, John P A et al. (2018) Systematic identification of correlates of HIV infection: an X-wide association study. AIDS 32:933-943

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