News from the NIH: potential contributions of the behavioral and social sciences to the precision medicine initiative

Translational Behavioral Medicine

Volumn 5, Issue 3, 2015, Pages 243-246

  Riley, William T ^a   Nilsen, Wendy J ^a   Manolio, Teri A ^b   Masys, Daniel R ^c   Lauer, Michael ^d  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

^c UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^d NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

Author keywords

Behavioral risk factors; Cohort studies; Environmental risk factors; Health informatics; Mobile health; Personalized medicine; Pharmacogenetics; Precision medicine; Tailored interventions

Indexed keywords

ARTICLE; BEHAVIORAL SCIENCE; ELECTRONIC MEDICAL RECORD; ENVIRONMENTAL FACTOR; GENETIC VARIABILITY; HUMAN; MEDICAL INFORMATICS; MEDICAL RESEARCH; MEDICINE; PERSONALIZED MEDICINE; PRECISION MEDICINE; PRIORITY JOURNAL; SOCIOLOGY;

EID: 84939140053     PISSN: 18696716     EISSN: 16139860     Source Type: Journal    
DOI: 10.1007/s13142-015-0320-5     Document Type: Article

References (30)

1. President Obama’s State of the Union Address (2015) Retrieved from https://www.whitehouse.gov/photos-and-video/video/2015/01/20/president-obamas-2015-state-union-address. Accessed 20 Jan 2015.
2. Fact Sheet: President Obama’s Precision Medicine Initiative (2015) Retrieved from https://www.whitehouse.gov/the-press-office/2015/01/30/fact-sheet-president-obama-s-precision-medicine-initiative. Accessed 30 Jan 2015.
3. Collins FS, Varmus H. A new initiative on precision medicine. N Engl J Med. 2015; 372: 793-5. doi:10.1056/NEJMp1500523.
4. Landsteiner K, Levine P. A new agglutinable factor differentiating individual human bloods. Proc Soc Exp Biol NY. 1927; 24: 600-602.
5. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP). Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001; 285(19): 2486-2497.
6. Project Match Research Group. Matching alcoholism treatments to client heterogeneity: project MATCH posttreatment drinking outcomes. J Stud Alcohol. 1997; 58(1): 7-29.
7. Strecher VJ. Computer-tailored smoking cessation materials: a review and discussion. Patient Educ Couns. 1999; 36: 107-117.
8. Broekhuizen K, Kroeze W, van Poppel MN, et al. A systematic review of randomized controlled trials on the effectiveness of computer-tailored physical activity and dietary behavior promotion programs: an update. Ann Behav Med. 2012; 44(2): 259-286. doi:10.1007/s12160-012-9384-3.
9. Blair DR, Lyttle CS, Mortensen JM, et al. A nondegenerate code of deleterious variants in Mendelian loci contributes to complex disease risk. Cell. 2013; 155(1): 70-80.
10. Pulley JM, Denny JC, Peterson JF, et al. Operational implementation of prospective genotyping for personalized medicine: the design of the Vanderbilt PREDICT project. Clin Pharmacol Ther. 2012; 92(1): 87-95.
11. Whiting P, Al M, Burgers L, et al. Ivacaftor for the treatment of patients with cystic fibrosis and the G551D mutation: a systematic review and cost-effectiveness analysis. Health Technol Assess. 2014; 18(18): 1-106.
12. Kimmel SE, French B, Kasner SE, et al. A pharmacogenetic versus a clinical algorithm for warfarin dosing. N Engl J Med. 2013; 369(24): 2283-2293.
13. McGinnis JM, Williams-Russo P, Knickman JR. The case for more active policy attention to health promotion. Health Aff. 2002; 21(2): 78-93.
14. Schreoeder SA. We can do better – improving the health of the American people. NEJM. 2007; 357: 1221-1228.
15. Keyes KM, Smith GD, Koenen KC, Galea S. The mathematical limits of genetic prediction of complex chronic diseases. Epidemiol Community Health. doi:10.1136/jech-2014-204983.
16. Ellis JA, Kemp AS, Ponsonby AL. Gene-environment interaction in autoimmune disease. Expert Rev Mol Med. 2014;16: e4. doi:10.1017/erm.2014.5.
17. Eissenberg JC. Epigenetics: modifying the genetic blueprint. Mo Med. 2014; 111(5): 428-433.
18. Lerman CE, Schnoll RA, Munafò MR. Genetics and smoking cessation improving outcomes in smokers at risk. Am J Prev Med. 2007; 33(6 Suppl): S398-S405.
19. Cella D, Riley W, Stone A, et al. PROMIS Cooperative Group. The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. J Clin Epidemiol. 2010; 63(11): 1179-1194.
20. McCarty CA, Berg R, Rottscheit CM, et al. Validation of PhenX measures in the personalized medicine research project for use in gene/environment studies. BMC Med Genomics. 2014; 7: 3.
21. Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008; 4: 1-32.
22. Kumar S, Nilsen W, Abernethy A, et al. mHealth evidence workshop—exploring innovative methods to evaluate the efficacy and safety of mobile health. Am J Prev Med. 2013; 45(2): 228-236.
23. Dantu V, Vempati J, Srivilliputhur S. Non-invasive blood glucose monitor based on spectroscopy using a smartphone. Conf Proc IEEE Eng Med Biol Soc. 2014; 2014: 3695-3698.
24. Hart A, Tallevi K, Wickland D, et al. A contact-free respiration monitor for smart bed and ambulatory monitoring applications. Conf Proc IEEE Eng Med Biol Soc. 2010; 2010: 927-930.
25. Fox S, Duggan M. Tracking for Health. http://www.pewinternet.org/2013/01/28/tracking-for-health/2013.
26. Genes, Environment and Health Initiative: Exposure Biology Program: Executive Summary. Retrieved from https://www.niehs.nih.gov/about/assets/docs/genes_environment_and_health_initiative_exposure_biology_program_executive_summary_508.pdf.
27. Pentland A. Honest Signals. How They Shape our World. Boston, MA: The MIT Press; 2008.
28. Turvey C, Klein D, Fix G, et al. Blue Button use by patients to access and share health record information using the Department of Veterans Affairs’ online patient portal. J Am Med Inform Assoc. 2014; 21(4): 657-663.
29. Jagosh J, Macaulay AC, Pluye P, et al. Uncovering the benefits of participatory research: implications of a realist review for health research and practice. Milbank Q. 2012; 90(2): 311-346.
30. Loewenstein G, Asch DA, Volpp KG. Behavioral economics holds potential to deliver better results for patients, insurers, and employers. Health Aff (Millwood). 2013; 32(7): 1244-1250.