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Effect of Direct-to-Consumer Genomewide Profiling to Assess Disease Risk
Open accessAbstract
BACKGROUND: The use of direct-to-consumer genomewide profiling to assess disease risk is controversial, and little is known about the effect of this technology on consumers. We examined the psychological, behavioral, and clinical effects of risk scanning with the Navigenics Health Compass, a commercially available test of uncertain clinical validity and utility. METHODS: We recruited subjects from health and technology companies who elected to purchase the Health Compass at a discounted rate. Subjects reported any changes in symptoms of anxiety, intake of dietary fat, and exercise behavior at a mean (±SD) of 5.6±2.4 months after testing, as compared with baseline, along with any test-related distress and the use of health-screening tests. RESULTS: From a cohort of 3639 enrolled subjects, 2037 completed follow-up. Primary analyses showed no significant differences between baseline and follow-up in anxiety symptoms (P=0.80), dietary fat intake (P=0.89), or exercise behavior (P=0.61). Secondary analyses revealed that test-related distress was positively correlated with the average estimated lifetime risk among all the assessed conditions (β=0.117, P<0.001). However, 90.3% of subjects who completed follow-up had scores indicating no test-related distress. There was no significant increase in the rate of use of screening tests associated with genomewide profiling, most of which are not considered appropriate for screening asymptomatic persons in any case. CONCLUSIONS: In a selected sample of subjects who completed follow-up after undergoing consumer genomewide testing, such testing did not result in any measurable short-term changes in psychological health, diet or exercise behavior, or use of screening tests. Potential effects of this type of genetic testing on the population at large are not known. (Funded by the National Institutes of Health and Scripps Health.).
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A rapid food screener to assess fat and fruit and vegetable intake
Block, G., Gillespie, C., Rosenbaum, E. H., & Jenson, C. (2000) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(00)00119-7 · Cited by 565
An agenda for personalized medicine
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Berg, J. S., Khoury, M. J., & Evans, J. P. (2011) · Genetics in Medicine · doi:10.1097/gim.0b013e318220aaba · Cited by 490
Celis-Morales, C., Livingstone, K. M., Marsaux, C. F. M., Macready, A. L., Fallaize, R., O’Donovan, C. B., Woolhead, C., Forster, H., Walsh, M. C., Navas-Carretero, S., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw186 · Cited by 399
Maas, P., Barrdahl, M., Joshi, A. D., Auer, P. L., Gaudet, M. M., Milne, R. L., Schumacher, F. R., Anderson, W. F., Check, D., Chattopadhyay, S., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.1025 · Cited by 373
Kullo, I. J., Jouni, H., Austin, E. E., Brown, S.-A., Kruisselbrink, T. M., Isseh, I. N., Haddad, R. A., Marroush, T. S., Shameer, K., Olson, J. E., et al. (2016) · Circulation · doi:10.1161/circulationaha.115.020109 · Cited by 267
Cardiovascular disease: The rise of the genetic risk score
Knowles, J. W., & Ashley, E. A. (2018) · PLOS Medicine · doi:10.1371/journal.pmed.1002546 · Cited by 182
Metadata
- Authors
- Bloss, C. S., Schork, N. J., & Topol, E. J.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2011-02-10
- Volume
- 364
- Issue
- 6
- Pages
- 524-534
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2153483268
- Cited by
- 562
- References
- 3
- FWCI
- 47.87
- Type
- journal article
- Language
- en
- Open access
- bronze
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