The ACCOuNT Consortium: A Model for the Discovery, Translation, and Implementation of Precision Medicine in African Americans

Clinical and Translational Science

Volumn 12, Issue 3, 2019, Pages 209-217

  Friedman, Paula N ^a   Shaazuddin, Mohammed ^a   Gong, Li ^b   Grossman, Robert L ^c   Harralson, Arthur F ^d,f   Klein, Teri E ^e   Lee, Norman H ^f   Miller, Doriane C ^c   Nutescu, Edith A ^g   O'Brien, Travis J ^f   O'Donnell, Peter H ^h   O'Leary, Kevin J ^a   Tuck, Matthew ⁱ   Meltzer, David O ^j   Perera, Minoli A ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

^b STANFORD UNIVERSITY   (United States)

^c UNIVERSITY OF CHICAGO   (United States)

^d SHENANDOAH UNIVERSITY   (United States)

^e STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f GEORGE WASHINGTON UNIVERSITY SCHOOL OF MEDICINE AND HEALTH SCIENCES   (United States)

^g UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^h University of Chicago   (United States)

ⁱ GEORGE WASHINGTON UNIVERSITY   (United States)

^j UNIVERSITY OF CHICAGO   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

APIXABAN; CLOPIDOGREL; EDOXABAN; RIVAROXABAN; TRANSCRIPTOME; WARFARIN;

AFRICAN AMERICAN; DRUG RESPONSE; GENE EXPRESSION; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOTYPE; PERIPHERAL BLOOD MONONUCLEAR CELL; PERSONALIZED MEDICINE; PHENOTYPE; PRIORITY JOURNAL; REVIEW; RNA SEQUENCE; THROMBOCYTE; HUMAN; METABOLISM; PHARMACOGENETICS; TRANSLATIONAL RESEARCH;

AFRICAN AMERICANS; BLOOD PLATELETS; HUMANS; PHARMACOGENETICS; PHENOTYPE; PRECISION MEDICINE; TRANSLATIONAL MEDICAL RESEARCH;

EID: 85061457655     PISSN: 17528054     EISSN: 17528062     Source Type: Journal    
DOI: 10.1111/cts.12608     Document Type: Review

References (24)

1. Lander, E.S. et al. Initial sequencing and analysis of the human genome. Nature 409, 860–921 (2001).
2. Lazarou, J., Pomeranz, B.H. & Corey, P.N. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA 279, 1200–1205 (1998).
3. Venter, J.C. et al. The sequence of the human genome. Science 291, 1304–1351 (2001).
4. Gharani, N. et al. The Coriell personalized medicine collaborative pharmacogenomics appraisal, evidence scoring and interpretation system. Genome Med. 5, 93 (2013).
5. O'Donnell, P.H. et al. The 1200 patients project: creating a new medical model system for clinical implementation of pharmacogenomics. Clin. Pharmacol. Ther. 92, 446–449 (2012).
6. Relling, M.V. & Klein, T.E. CPIC: clinical pharmacogenetics implementation consortium of the pharmacogenomics research network. Clin. Pharmacol. Ther. 89, 464–467 (2011).
7. National Center for Veterans Analysis and Statistics [Internet]. Accessed August 8, 2018 (2016).
8. Bureau USC. 2014 National Population Projections Tables 2014 [updated May 9, 2017. The Population Projections Program produces projections of the United States resident population by age, sex, race, Hispanic origin, and nativity. The 2014 National Projections are based on the July 1, 3 population estimates, which are based on the 0 Census, and provide projections of the population for July 1 to July 1, 60. The projections were produced using a cohort-component method and are based on assumptions about future births, deaths, and net international migration. The Census Bureau releases new national projections periodically] .
9. Bureau USC. QuickFacts: Chicago, Illinois 2017 [updated July 1, 2017. QuickFacts provides statistics for all states and counties, and for cities and towns with a population of 5000 or more]. . Accessed 2017.
10. Bureau USC. QuickFacts: District of Columbia 2017 [updated July 1, 2017; cited 2017. QuickFacts provides statistics for all states and counties, and for cities and towns with a population of 5,000 or more]. .
11. Perera, M.A. et al. Genetic variants associated with warfarin dose in African-American individuals: a genome-wide association study. Lancet 382, 790–796 (2013).
12. Cookson, W., Liang, L., Abecasis, G., Moffatt, M. & Lathrop, M. Mapping complex disease traits with global gene expression. Nat. Rev. Genet. 10, 184–194 (2009).
13. Wang, Z.T., Wang, Z. & Hu, Y.W. Possible roles of platelet-derived microparticles in atherosclerosis. Atherosclerosis 248, 10–16 (2016).
14. Freynhofer, M.K., Bruno, V., Wojta, J. & Huber, K. The role of platelets in athero-thrombotic events. Curr. Pharm. Des. 18, 5197–5214 (2012).
15. Nurden, A.T. Platelets, inflammation and tissue regeneration. Thromb. Haemost. 105 (suppl. 1), S13–S33 (2011).
16. Taking Effective Action I. How Geonomics May Help You Receive a Better Prescription [mp4]. [culturally relevant interactive video tutorial on cardiovascular health, pharmacogenomics, precision medicine and African American involvement in medical research]. (2018)
17. O'Donnell, P.H. et al. Adoption of a clinical pharmacogenomics implementation program during outpatient care–initial results of the University of Chicago “1,200 Patients Project”. Am. J. Med. Genet. C Semin. Med. Genet. 166C, 68–75 (2014).
18. Johnson, J.A. et al. Clinical pharmacogenetics implementation consortium (CPIC) guideline for pharmacogenetics-guided warfarin dosing: 2017 update. Clin. Pharmacol. Ther. 102, 397–404 (2017).
19. Gage, B.F. et al. Effect of genotype-guided warfarin dosing on clinical events and anticoagulation control among patients undergoing hip or knee arthroplasty: the GIFT randomized clinical trial. JAMA 318, 1115–1124 (2017).
20. Cavallari, L.H. & Perera, M.A. The future of warfarin pharmacogenetics in under-represented minority groups. Future Cardiol. 8, 563–576 (2012).
21. Kaufman, A.L. et al. Evidence for clinical implementation of pharmacogenomics in cardiac drugs. Mayo Clin. Proc. 90, 716–729 (2015).
22. Rasmussen-Torvik, L.J. et al. Design and anticipated outcomes of the eMERGE-PGx project: a multicenter pilot for preemptive pharmacogenomics in electronic health record systems. Clin. Pharmacol. Ther. 96, 482–489 (2014).
23. Glasgow, R.E., Vogt, T.M. & Boles, S.M. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am. J. Public Health 89, 1322–1327 (1999).
24. Halbert, C.H., Armstrong, K., Gandy, O.H. Jr & Shaker, L. Racial differences in trust in health care providers. Arch. Intern. Med. 166, 896–901 (2006).