The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Polygenes, Risk Prediction, and Targeted Prevention of Breast Cancer
Open accessAbstract
BACKGROUND: New developments in the search for susceptibility alleles in complex disorders provide support for the possibility of a polygenic approach to the prevention and treatment of common diseases. METHODS: We examined the implications, both for individualized disease prevention and for public health policy, of findings concerning the risk of breast cancer that are based on common genetic variation. RESULTS: Our analysis suggests that the risk profile generated by the known, common, moderate-risk alleles does not provide sufficient discrimination to warrant individualized prevention. However, useful risk stratification may be possible in the context of programs for disease prevention in the general population. CONCLUSIONS: The clinical use of single, common, low-penetrance genes is limited, but a few susceptibility alleles may distinguish women who are at high risk for breast cancer from those who are at low risk, particularly in the context of population screening.
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Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702
Lichtenstein, P., Holm, N. V., Verkasalo, P. K., Iliadou, A., Kaprio, J., Koskenvuo, M., Pukkala, E., Skytthe, A., & Hemminki, K. (2000) · New England Journal of Medicine · doi:10.1056/nejm200007133430201 · Cited by 4,114
Genome-wide association study identifies novel breast cancer susceptibility loci
Easton, D. F., Pooley, K. A., Dunning, A. M., Pharoah, P. D. P., Thompson, D., Ballinger, D. G., Struewing, J. P., Morrison, J., Field, H., Luben, R., et al. (2007) · Nature · doi:10.1038/nature05887 · Cited by 2,319
Self-citationThe CHEK2-Breast Cancer Consortium (2002) · Nature Genetics · doi:10.1038/ng879 · Cited by 1,104
Stacey, S. N., Manolescu, A., Sulem, P., Rafnar, T., Gudmundsson, J., Gudjonsson, S. A., Masson, G., Jakobsdottir, M., Thorlacius, S., Helgason, A., et al. (2007) · Nature Genetics · doi:10.1038/ng2064 · Cited by 786
The Breast Cancer Susceptibility Collaboration (UK), Seal, S., Thompson, D., Renwick, A., Elliott, A., Kelly, P., Barfoot, R., Chagtai, T., Jayatilake, H., Ahmed, M., et al. (2006) · Nature Genetics · doi:10.1038/ng1902 · Cited by 746
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Cited by
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
Khera, A. V., Chaffin, M., Aragam, K. G., Haas, M. E., Roselli, C., Choi, S. H., Natarajan, P., Lander, E. S., Lubitz, S. A., Ellinor, P. T., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0183-z · Cited by 2,953
Power and predictive accuracy of polygenic risk scores
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Genomewide Association Studies and Assessment of the Risk of Disease
Manolio, T. A. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0905980 · Cited by 1,512
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Vilhjálmsson, B. J., Yang, J., Finucane, H. K., Gusev, A., Lindström, S., Ripke, S., Genovese, G., Loh, P.-R., Bhatia, G., Do, R., et al. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.09.001 · Cited by 1,303
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Metadata
- Authors
- Pharoah, P. D. P., Antoniou, A. C., Easton, D. F., & Ponder, B. A. J.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2008-06-26
- Volume
- 358
- Issue
- 26
- Pages
- 2796-2803
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2145807088
- Cited by
- 618
- References
- 7
- FWCI
- 36.56
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Pharoah, P. D. P., Antoniou, A. C., Easton, D. F., & Ponder, B. A. J. (2008). Polygenes, Risk Prediction, and Targeted Prevention of Breast Cancer. New England Journal of Medicine. https://doi.org/10.1056/nejmsa0708739
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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