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Cancer Inform. 2015 May 10;14(Suppl 2):147-57. doi: 10.4137/CIN.S17292. eCollection 2015.

Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO.

Author information

1
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Department of Biostatistics, Harvard T.H.Chan School of Public Health, Boston, MA, USA.
2
Division of Biostatistics and Bioinformatics, The Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
3
Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX, USA.

Abstract

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.

KEYWORDS:

BRCA1; BRCA2; BRCAPRO; breast cancer; mutation carrier; ovarian cancer

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