The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.
Genetic susceptibility to breast cancer
Open accessAbstract
Genetic and lifestyle/environmental factors are implicated in the aetiology of breast cancer. This review summarizes the current state of knowledge on rare high penetrance mutations, as well as moderate and low‐penetrance genetic variants implicated in breast cancer aetiology. We summarize recent discoveries from large collaborative efforts to combine data from candidate gene studies, and to conduct genome‐wide association studies (GWAS), primarily in breast cancers in the general population. These findings are compared with results from collaborative efforts aiming to identify genetic modifiers in BRCA1 and BRCA2 carriers. Breast cancer is a heterogeneous disease, and tumours from BRCA1 and BRCA2 carriers display distinct pathological characteristics when compared with tumours unselected for family history. The relationship between genetic variants and pathological subtypes of breast cancer, and the implication of discoveries of novel genetic variants to risk prediction in BRCA1/2 mutation carriers and in populations unselected for mutation carrier status, are discussed.
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
Molecular portraits of human breast tumours
Perou, C. M., Sørlie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., Rees, C. A., Pollack, J. R., Ross, D. T., Johnsen, H., Akslen, L. A., et al. (2000) · Nature · doi:10.1038/35021093 · Cited by 16,261
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Cancer Incidence in Five Continents
(1970) · Springer eBooks · doi:10.1007/978-3-642-85851-2 · Cited by 8,501
Cancer Incidence in Five Continents
(1966) · doi:10.1007/978-3-642-85849-9 · Cited by 5,936
Repeated observation of breast tumor subtypes in independent gene expression data sets
Sørlie, T., Tibshirani, R., Parker, J., Hastie, T., Marron, J. S., Nobel, A., Deng, S., Johnsen, H., Pesich, R., Geisler, S., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0932692100 · Cited by 5,429
Race, Breast Cancer Subtypes, and Survival in the Carolina Breast Cancer Study
Carey, L. A., Perou, C. M., Livasy, C. A., Dressler, L. G., Cowan, D., Conway, K., Karaca, G., Troester, M. A., Tse, C. K., Edmiston, S., et al. (2006) · JAMA · doi:10.1001/jama.295.21.2492 · Cited by 3,819
Antoniou, A., Pharoah, P. D. P., Narod, S., Risch, H. A., Eyfjord, J. E., Hopper, J. L., Loman, N., Olsson, H., Johannsson, O., Borg, Å., et al. (2003) · The American Journal of Human Genetics · doi:10.1086/375033 · Cited by 3,680
Self-citationGenetic Heterogeneity and Penetrance Analysis of the BRCA1 and BRCA2 Genes in Breast Cancer Families
Ford, D., Easton, D. F., Stratton, M., Narod, S., Goldgar, D., Devilee, P., Bishop, D. T., Weber, B., Lenoir, G., Chang-Claude, J., et al. (1998) · The American Journal of Human Genetics · doi:10.1086/301749 · Cited by 3,037
Self-citationLinkage of Early-Onset Familial Breast Cancer to Chromosome 17q21
Hall, J. M., Lee, M. K., Newman, B., Morrow, J. E., Anderson, L. A., Huey, B., & King, M.-C. (1990) · Science · doi:10.1126/science.2270482 · Cited by 2,550
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
Cancer Risks for BRCA1 and BRCA2 Mutation Carriers: Results From Prospective Analysis of EMBRACE
Mavaddat, N., Peock, S., Frost, D., Ellis, S., Platte, R., Fineberg, E., Evans, D. G., Izatt, L., Eeles, R. A., Adlard, J., et al. (2013) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djt095 · Cited by 951
Self-citationGenome-wide association studies identify four ER negative–specific breast cancer risk loci
The Gene ENvironmental Interaction and breast CAncer (GENICA) Network, Garcia-Closas, M., kConFab Investigators, (FBCS), F. B. C. S., Australian Breast Cancer Tissue Bank (ABCTB) Investigators, Couch, F. J., Lindstrom, S., Michailidou, K., Schmidt, M. K., Brook, M. N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2561 · Cited by 406
Self-citationEpidemiology of Breast Cancer in Women
Coughlin, S. S. (2019) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-030-20301-6_2 · Cited by 331
Garcia, A. I., Buisson, M., Bertrand, P., Rimokh, R., Rouleau, E., Lopez, B. S., Lidereau, R., Mikaélian, I., & Mazoyer, S. (2011) · EMBO Molecular Medicine · doi:10.1002/emmm.201100136 · Cited by 265
Gallagher, S., Hughes, E., Wagner, S., Tshiaba, P., Rosenthal, E., Roa, B. B., Kurian, A. W., Domchek, S. M., Garber, J., Lancaster, J., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.8501 · Cited by 137
Metadata
- Authors
- Mavaddat, N., Antoniou, A. C., Easton, D. F., & Garcia-Closas, M.
- Venue
- Molecular Oncology
- Publisher
- Wiley
- Published
- 2010-05-21
- Volume
- 4
- Issue
- 3
- Pages
- 174-191
- ISSN
- 1574-7891 (ISSN-L)
- 1878-0261
- OpenAlex
- W2083697259
- Cited by
- 375
- References
- 155
- FWCI
- 16.93
- 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: Genetic susceptibility to breast cancer. https://app.cochat.ai/papers/10.1016/j.molonc.2010.04.011
- The paper
- Mavaddat, N., Antoniou, A. C., Easton, D. F., & Garcia-Closas, M. (2010). Genetic susceptibility to breast cancer. Molecular Oncology. https://doi.org/10.1016/j.molonc.2010.04.011
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.