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Times Cited: 498
Times Cited: 498
Times Cited
Times Co-cited
Similarity
A breast cancer prediction model incorporating familial and personal risk factors.
Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
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The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions.
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Clinical characteristics of individuals with germline mutations in BRCA1 and BRCA2: analysis of 10,000 individuals.
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Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case Series unselected for family history: a combined analysis of 22 studies.
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Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme.
E Amir, D G Evans, A Shenton, F Lalloo, A Moran, C Boggis, M Wilson, A Howell. J Med Genet 2003
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A new scoring system for the chances of identifying a BRCA1/2 mutation outperforms existing models including BRCAPRO.
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Predicting the likelihood of carrying a BRCA1 or BRCA2 mutation: validation of BOADICEA, BRCAPRO, IBIS, Myriad and the Manchester scoring system using data from UK genetics clinics.
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Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention.
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A comprehensive model for familial breast cancer incorporating BRCA1, BRCA2 and other genes.
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Sining Chen, Wenyi Wang, Karl W Broman, Hormuzd A Katki, Giovanni Parmigiani. Stat Appl Genet Mol Biol 2004
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A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1.
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Evaluating the performance of the breast cancer genetic risk models BOADICEA, IBIS, BRCAPRO and Claus for predicting BRCA1/2 mutation carrier probabilities: a study based on 7352 families from the German Hereditary Breast and Ovarian Cancer Consortium.
Christine Fischer, Karoline Kuchenbäcker, Christoph Engel, Silke Zachariae, Kerstin Rhiem, Alfons Meindl, Nils Rahner, Nicola Dikow, Hansjörg Plendl, Irmgard Debatin,[...]. J Med Genet 2013
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Incorporating truncating variants in PALB2, CHEK2, and ATM into the BOADICEA breast cancer risk model.
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The contributions of breast density and common genetic variation to breast cancer risk.
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Prediction of breast cancer risk based on profiling with common genetic variants.
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BRCA1 mutations in women attending clinics that evaluate the risk of breast cancer.
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The prevalence of common BRCA1 and BRCA2 mutations among Ashkenazi Jews.
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Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications.
Jessica A Cintolo-Gonzalez, Danielle Braun, Amanda L Blackford, Emanuele Mazzola, Ahmet Acar, Jennifer K Plichta, Molly Griffin, Kevin S Hughes. Breast Cancer Res Treat 2017
Jessica A Cintolo-Gonzalez, Danielle Braun, Amanda L Blackford, Emanuele Mazzola, Ahmet Acar, Jennifer K Plichta, Molly Griffin, Kevin S Hughes. Breast Cancer Res Treat 2017
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Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance.
Anne S Quante, Alice S Whittemore, Tom Shriver, Konstantin Strauch, Mary B Terry. Breast Cancer Res 2012
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Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.
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Breast-cancer risk in families with mutations in PALB2.
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Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort.
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Inherited mutations in 17 breast cancer susceptibility genes among a large triple-negative breast cancer cohort unselected for family history of breast cancer.
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Recent BRCAPRO upgrades significantly improve calibration.
Emanuele Mazzola, Jonathan Chipman, Su-Chun Cheng, Giovanni Parmigiani. Cancer Epidemiol Biomarkers Prev 2014
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Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density.
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Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO.
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The calculation of breast cancer risk for women with a first degree family history of ovarian cancer.
E B Claus, N Risch, W D Thompson. Breast Cancer Res Treat 1993
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Breast Cancer Screening for Women at Average Risk: 2015 Guideline Update From the American Cancer Society.
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Risk assessment, genetic counseling, and genetic testing for BRCA-related cancer in women: a systematic review to update the U.S. Preventive Services Task Force recommendation.
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Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information.
Matthew E Mealiffe, Renee P Stokowski, Brian K Rhees, Ross L Prentice, Mary Pettinger, David A Hinds. J Natl Cancer Inst 2010
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.