The twin questions of personalized medicine: who are you and whom do you most resemble?
Open accessAbstract
Personalized medicine is typically described as the use of molecular or genetic characteristics to customize therapy. This perspective at best provides an incomplete model of the patient and at worst can lead to grossly inappropriate practices. Personalization of medicine requires two characterizations: a well-grounded understanding of who the patient is and an equally robust understanding of the subpopulation that most resembles that patient in the context of the decisions at hand. These characterizations are readily represented probabilistically and can be used to drive decision-making in a rational manner that maximizes the positive outcomes for the patient.
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Overemphasizing genetics for the individualization of exercise prescriptions is counter-productive.
“and that “overemphasizing” genetics for the individualization of exercise prescriptions is counter-productive (Carlsten and Burke, 2006; Kohane, 2009; Horwitz et al., 2013; Joyner and Lundby, 2018; Peck, 2018; Joyner, 2019).”
From Dose-Response Matters! - A Perspective on the Exercise Prescription in Exercise-Cognition Research (2019) · cites this paper as Kohane, 2009
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Slamon, D. J., Leyland-Jones, B., Shak, S., Fuchs, H., Paton, V., Bajamonde, A., Fleming, T., Eiermann, W., Wolter, J., Pegram, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103153441101 · Cited by 11,500 · see citing works
Social Choice and Individual Values
Schnepp, G. J., & Arrow, K. (1951) · Economica · doi:10.2307/2549613 · Cited by 10,000 · see citing works
Social Choice and Individual Values
Baumöl, W. J., & Arrow, K. J. (1952) · Econometrica · doi:10.2307/1907815 · Cited by 4,778 · see citing works
Penetrance of 845G→A (C282Y) HFE hereditary haemochromatosis mutation in the USA
Beutler, E., Felitti, V. J., Koziol, J. A., Ho, N. J., & Gelbart, T. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07447-0 · Cited by 823 · see citing works
Pauker, S. G., & Kassirer, J. P. (1987) · New England Journal of Medicine · doi:10.1056/nejm198701293160505 · Cited by 487 · see citing works
Mutation Analysis in Hereditary Hemochromatosis
Beutler, E., Gelbart, T., West, C., Lee, P. L., Adams, M., Blackstone, R., Pockros, P. J., Kosty, M. P., Venditti, C. P., Phatak, P. D., et al. (1996) · Blood Cells Molecules and Diseases · doi:10.1006/bcmd.1996.0027 · Cited by 416 · see citing works
Categorical and probabilistic reasoning in medical diagnosis
Szolovits, P., & Pauker, S. G. (1978) · Artificial Intelligence · doi:10.1016/0004-3702(78)90014-0 · Cited by 413 · see citing works
Jouanolle, A. M., Gandon, G., Jézéquel, P., Blayau, M., Campion, M. L., Yaouanq, J., Mosser, J., Fergelot, P., Chauvel, B., Bouric, P., et al. (1996) · Nature Genetics · doi:10.1038/ng1196-251 · Cited by 340 · see citing works
Kohane, I. S., Masys, D. R., & Altman, R. B. (2006) · JAMA · doi:10.1001/jama.296.2.212 · Cited by 307 · see citing works
Self-citationPichichero, M. E. (2005) · PEDIATRICS · doi:10.1542/peds.2004-1276 · Cited by 228 · see citing works
The Diabetes Control and Complications Trial -- Implications for Policy and Practice
Lasker, R. D. (1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291410 · Cited by 177 · see citing works
Heckerman, E. D., & Nathwani, N. B. (1992) · Methods of Information in Medicine · doi:10.1055/s-0038-1634868 · Cited by 154 · see citing works
Tectonic Shifts in the Health Information Economy
Mandl, K. D., & Kohane, I. S. (2008) · New England Journal of Medicine · doi:10.1056/nejmsb0800220 · Cited by 150 · see citing works
Self-citationEnsuring the appropriate use of genetic tests
Burke, W., & Zimmern, R. L. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1495 · Cited by 124 · see citing works
Scotet, V. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg123 · Cited by 89 · see citing works
Clinical Penetrance of Hereditary Hemochromatosis
Bacon, B. R., & Britton, R. S. (2008) · New England Journal of Medicine · doi:10.1056/nejme078215 · Cited by 40 · see citing works
Allocco, D., Song, Q., Gibbons, G., Ramoni, M., & Kohane, I. (2007) · BMC Genomics · doi:10.1186/1471-2164-8-68 · Cited by 33 · see citing works
Self-citationThe paradox of race in the Bidil debate.
Crawley, L. M. (2007) · PubMed · Cited by 14 · see citing works
Genotyping Errors and Their Impact on Genetic Analysis
Miller, M. B., Schwander, K., & Rao, D. C. (2008) · Advances in genetics · doi:10.1016/s0065-2660(07)00406-3 · Cited by 13 · see citing works
Prescriptive models to support decision making in genetics.
Pauker, S. G., & Pauker, S. P. (1987) · PubMed · Cited by 9 · see citing works
Probabilistic belief networks for genetic counseling
Harris, N. L. (1990) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(90)90083-l · Cited by 7 · see citing works
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Research works printed but not linked: 1
- Schwartz WB Patil RS Szolovits P Artificial intelligence in medicine: where do we stand? N Engl J Med 1987 316 685 688 3821801
Cited by
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Bennett, C. C., & Hauser, K. (2013) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2012.12.003 · Cited by 378 · see citing works
“environmental/behavioral factors associated with disorder and the effective treatment thereof [10].”
Dose-Response Matters! - A Perspective on the Exercise Prescription in Exercise-Cognition Research
Herold, F., Müller, P., Gronwald, T., & Müller, N. G. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02338 · Cited by 196 · see citing works
Big Heart Data: Advancing Health Informatics Through Data Sharing in Cardiovascular Imaging
Suinesiaputra, A., Medrano-Gracia, P., Cowan, B. R., & Young, A. A. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2370952 · Cited by 45 · see citing works
- Authors
- Kohane, I. S.
- Affiliations
- Harvard University (US)
- Corresponding author
- Kohane, Isaac S
- ORCID
- Kohane, Isaac S
- Venue
- Genome Medicine
- Published
- 2009
- Volume
- 1
- Issue
- 1
- Pages
- 4
- ISSN
- 1756-994X (ISSN-L)
- DOI
- 10.1186/gm4
- PMC
- PMC2651581
- OpenAlex
- W2151379166
- Cited by
- 38
- References
- 21
- Citations by year
- 2025: 4 · 2022: 1 · 2019: 3 · 2018: 5 · 2017: 3 · 2016: 1 · 2015: 1 · 2014: 4 · 2013: 1 · 2012: 4
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- personalized medicine, patient characterization, stochastic modeling, rational decision-making
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