The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants
Open accessAbstract
BACKGROUND: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking. METHODS: We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates. RESULTS: There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1% of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer. CONCLUSIONS: The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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-citation
Cited by
The personal and clinical utility of polygenic risk scores
Torkamani, A., Wineinger, N. E., & Topol, E. J. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0018-x · Cited by 1,623
PRSice-2: Polygenic Risk Score software for biobank-scale data
Choi, S. W., & O'Reilly, P. F. (2019) · GigaScience · doi:10.1093/gigascience/giz082 · Cited by 1,532
Epidemiological characteristics of and risk factors for breast cancer in the world
Momenimovahed, Z., & Salehiniya, H. (2019) · Breast Cancer: Targets and Therapy · doi:10.2147/bctt.s176070 · Cited by 1,050
Key steps for effective breast cancer prevention
Britt, K. L., Cuzick, J., & Phillips, K.-A. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-020-0266-x · Cited by 992
Lee, A., Mavaddat, N., Wilcox, A. N., Cunningham, A. P., Carver, T., Hartley, S., Babb de Villiers, C., Izquierdo, A., Simard, J., Schmidt, M. K., et al. (2019) · Genetics in Medicine · doi:10.1038/s41436-018-0406-9 · Cited by 721
Self-citation
Metadata
- Authors
- Mavaddat, N., Pharoah, P. D. P., Michailidou, K., Tyrer, J., Brook, M. N., Bolla, M. K., Wang, Q., Dennis, J., Dunning, A. M., Shah, M., Luben, R., Brown, J., Bojesen, S. E., Nordestgaard, B. G., Nielsen, S. F., Flyger, H., Czene, K., Darabi, H., Eriksson, M., Peto, J., dos-Santos-Silva, I., Dudbridge, F., Johnson, N., Schmidt, M. K., Broeks, A., Verhoef, S., Rutgers, E. J., Swerdlow, A., Ashworth, A., Orr, N., Schoemaker, M. J., Figueroa, J., Chanock, S. J., Brinton, L., Lissowska, J., Couch, F. J., Olson, J. E., Vachon, C., Pankratz, V. S., Lambrechts, D., Wildiers, H., Van Ongeval, C., van Limbergen, E., Kristensen, V., Grenaker Alnæs, G., Nord, S., Borresen-Dale, A.-L., Nevanlinna, H., Muranen, T. A., Aittomäki, K., Blomqvist, C., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Fasching, P. A., Haeberle, L., Ekici, A. B., Beckmann, M. W., Burwinkel, B., Marme, F., Schneeweiss, A., Sohn, C., Trentham-Dietz, A., Newcomb, P., Titus, L., Egan, K. M., Hunter, D. J., Lindstrom, S., Tamimi, R. M., Kraft, P., Rahman, N., Turnbull, C., Renwick, A., Seal, S., Li, J., Liu, J., Humphreys, K., Benitez, J., Pilar Zamora, M., Arias Perez, J. I., Menéndez, P., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Bogdanova, N. V., Antonenkova, N. N., Dörk, T., Anton-Culver, H., Neuhausen, S. L., Ziogas, A., Bernstein, L., Devilee, P., Tollenaar, R. A. E. M., Seynaeve, C., van Asperen, C. J., Cox, A., Cross, S. S., Reed, M. W. R., Khusnutdinova, E., Bermisheva, M., Prokofyeva, D., Takhirova, Z., Meindl, A., Schmutzler, R. K., Sutter, C., Yang, R., Schürmann, P., Bremer, M., Christiansen, H., Park-Simon, T.-W., Hillemanns, P., Guénel, P., Truong, T., Menegaux, F., Sanchez, M., Radice, P., Peterlongo, P., Manoukian, S., Pensotti, V., Hopper, J. L., Tsimiklis, H., Apicella, C., Southey, M. C., Brauch, H., Brüning, T., Ko, Y.-D., Sigurdson, A. J., Doody, M. M., Hamann, U., Torres, D., Ulmer, H.-U., Försti, A., Sawyer, E. J., Tomlinson, I., Kerin, M. J., Miller, N., Andrulis, I. L., Knight, J. A., Glendon, G., Marie Mulligan, A., Chenevix-Trench, G., Balleine, R., Giles, G. G., Milne, R. L., McLean, C., Lindblom, A., Margolin, S., Haiman, C. A., Henderson, B. E., Schumacher, F., Le Marchand, L., Eilber, U., Wang-Gohrke, S., Hooning, M. J., Hollestelle, A., van den Ouweland, A. M. W., Koppert, L. B., Carpenter, J., Clarke, C., Scott, R., Mannermaa, A., Kataja, V., Kosma, V.-M., Hartikainen, J. M., Brenner, H., Arndt, V., Stegmaier, C., Karina Dieffenbach, A., Winqvist, R., Pylkäs, K., Jukkola-Vuorinen, A., Grip, M., Offit, K., Vijai, J., Robson, M., Rau-Murthy, R., Dwek, M., Swann, R., Annie Perkins, K., Goldberg, M. S., Labrèche, F., Dumont, M., Eccles, D. M., Tapper, W. J., Rafiq, S., John, E. M., Whittemore, A. S., Slager, S., Yannoukakos, D., Toland, A. E., Yao, S., Zheng, W., Halverson, S. L., González-Neira, A., Pita, G., Rosario Alonso, M., Álvarez, N., Herrero, D., Tessier, D. C., Vincent, D., Bacot, F., Luccarini, C., Baynes, C., Ahmed, S., Maranian, M., Healey, C. S., Simard, J., Hall, P., Easton, D. F., & Garcia-Closas, M.
- Venue
- JNCI: Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-04-02
- Volume
- 107
- Issue
- 5
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2056893663
- Cited by
- 550
- References
- 1
- FWCI
- 39.68
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants. https://app.cochat.ai/papers/10.1093/jnci/djv036
- The paper
- Mavaddat, N., Pharoah, P. D. P., Michailidou, K., Tyrer, J., Brook, M. N., Bolla, M. K., Wang, Q., Dennis, J., Dunning, A. M., Shah, M., Luben, R., Brown, J., Bojesen, S. E., Nordestgaard, B. G., Nielsen, S. F., Flyger, H., Czene, K., Darabi, H., Eriksson, M., . . . Garcia-Closas, M. (2015). Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants. JNCI: Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/djv036
Data sources
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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.