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Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO

BRCAPRO is a widely used model for genetic risk prediction of breast cancer. It is a function within the R package BayesMendel and is used to calculate the probabilities of being a carrier of a deleterious mutation in one or both of the BRCA genes, as well as the probability of being affected with b...

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Detalles Bibliográficos
Autores principales: Mazzola, Emanuele, Blackford, Amanda, Parmigiani, Giovanni, Biswas, Swati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428390/
https://www.ncbi.nlm.nih.gov/pubmed/25983549
http://dx.doi.org/10.4137/CIN.S17292
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author Mazzola, Emanuele
Blackford, Amanda
Parmigiani, Giovanni
Biswas, Swati
author_facet Mazzola, Emanuele
Blackford, Amanda
Parmigiani, Giovanni
Biswas, Swati
author_sort Mazzola, Emanuele
collection PubMed
description BRCAPRO is a widely used model for genetic risk prediction of breast cancer. It is a function within the R package BayesMendel and is used to calculate the probabilities of being a carrier of a deleterious mutation in one or both of the BRCA genes, as well as the probability of being affected with breast and ovarian cancer within a defined time window. Both predictions are based on information contained in the counselee’s family history of cancer. During the last decade, BRCAPRO has undergone several rounds of successive refinements: the current version is part of release 2.1 of BayesMendel. In this review, we showcase some of the most notable features of the software resulting from these recent changes. We provide examples highlighting each feature, using artificial pedigrees motivated by complex clinical examples. We illustrate how BRCAPRO is a comprehensive software for genetic risk prediction with many useful features that allow users the flexibility to incorporate varying amounts of available information.
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spelling pubmed-44283902015-05-15 Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO Mazzola, Emanuele Blackford, Amanda Parmigiani, Giovanni Biswas, Swati Cancer Inform Review BRCAPRO is a widely used model for genetic risk prediction of breast cancer. It is a function within the R package BayesMendel and is used to calculate the probabilities of being a carrier of a deleterious mutation in one or both of the BRCA genes, as well as the probability of being affected with breast and ovarian cancer within a defined time window. Both predictions are based on information contained in the counselee’s family history of cancer. During the last decade, BRCAPRO has undergone several rounds of successive refinements: the current version is part of release 2.1 of BayesMendel. In this review, we showcase some of the most notable features of the software resulting from these recent changes. We provide examples highlighting each feature, using artificial pedigrees motivated by complex clinical examples. We illustrate how BRCAPRO is a comprehensive software for genetic risk prediction with many useful features that allow users the flexibility to incorporate varying amounts of available information. Libertas Academica 2015-05-10 /pmc/articles/PMC4428390/ /pubmed/25983549 http://dx.doi.org/10.4137/CIN.S17292 Text en © 2015 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Review
Mazzola, Emanuele
Blackford, Amanda
Parmigiani, Giovanni
Biswas, Swati
Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO
title Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO
title_full Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO
title_fullStr Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO
title_full_unstemmed Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO
title_short Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO
title_sort recent enhancements to the genetic risk prediction model brcapro
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428390/
https://www.ncbi.nlm.nih.gov/pubmed/25983549
http://dx.doi.org/10.4137/CIN.S17292
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