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BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface

British journal of cancer, 2014-01, Vol.110 (2), p.535-545 [Peer Reviewed Journal]

2015 INIST-CNRS ;Copyright Nature Publishing Group Jan 21, 2014 ;Copyright © 2014 Cancer Research UK 2014 Cancer Research UK ;ISSN: 0007-0920 ;EISSN: 1532-1827 ;DOI: 10.1038/bjc.2013.730 ;PMID: 24346285 ;CODEN: BJCAAI

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Title:
BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface
Author: LEE, A. J ; CUNNINGHAM, A. P ; KUCHENBAECKER, K. B ; MAVADDAT, N ; EASTON, D. F ; ANTONIOU, A. C
Subjects: Adult ; Aged ; Aged, 80 and over ; Biological and medical sciences ; BRCA1 Protein - genetics ; BRCA2 Protein - genetics ; Breast Neoplasms - epidemiology ; Breast Neoplasms - genetics ; Breast Neoplasms - pathology ; Breast Neoplasms, Male - epidemiology ; Breast Neoplasms, Male - genetics ; Breast Neoplasms, Male - pathology ; Female ; Genetic Predisposition to Disease - epidemiology ; Genetics and Genomics ; Gynecology. Andrology. Obstetrics ; Humans ; Incidence ; Internet ; Male ; Mammary gland diseases ; Medical sciences ; Middle Aged ; Models, Statistical ; Multiple tumors. Solid tumors. Tumors in childhood (general aspects) ; Mutation ; Risk ; Tumors ; Young Adult
Is Part Of: British journal of cancer, 2014-01, Vol.110 (2), p.535-545
Description: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) is a risk prediction model that is used to compute probabilities of carrying mutations in the high-risk breast and ovarian cancer susceptibility genes BRCA1 and BRCA2, and to estimate the future risks of developing breast or ovarian cancer. In this paper, we describe updates to the BOADICEA model that extend its capabilities, make it easier to use in a clinical setting and yield more accurate predictions. We describe: (1) updates to the statistical model to include cancer incidences from multiple populations; (2) updates to the distributions of tumour pathology characteristics using new data on BRCA1 and BRCA2 mutation carriers and women with breast cancer from the general population; (3) improvements to the computational efficiency of the algorithm so that risk calculations now run substantially faster; and (4) updates to the model's web interface to accommodate these new features and to make it easier to use in a clinical setting. We present results derived using the updated model, and demonstrate that the changes have a significant impact on risk predictions. All updates have been implemented in a new version of the BOADICEA web interface that is now available for general use: http://ccge.medschl.cam.ac.uk/boadicea/.
Publisher: Basingstoke: Nature Publishing Group
Language: English
Identifier: ISSN: 0007-0920
EISSN: 1532-1827
DOI: 10.1038/bjc.2013.730
PMID: 24346285
CODEN: BJCAAI
Source: PubMed Central (Open access)
Geneva Foundation Free Medical Journals at publisher websites
MEDLINE
ProQuest Central

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BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface

2015 INIST-CNRS ;Copyright Nature Publishing Group Jan 21, 2014 ;Copyright © 2014 Cancer Research UK 2014 Cancer Research UK ;ISSN: 0007-0920 ;EISSN: 1532-1827 ;DOI: 10.1038/bjc.2013.730 ;PMID: 24346285 ;CODEN: BJCAAI

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