Publication: Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO
Open/View Files
Date
2015
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
Libertas Academica
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Mazzola, Emanuele, Amanda Blackford, Giovanni Parmigiani, and Swati Biswas. 2015. “Recent Enhancements to the Genetic Risk Prediction Model BRCAPRO.” Cancer Informatics 14 (Suppl 2): 147-157. doi:10.4137/CIN.S17292. http://dx.doi.org/10.4137/CIN.S17292.
Research Data
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.
Description
Other Available Sources
Keywords
BRCAPRO, BRCA1, BRCA2, mutation carrier, breast cancer, ovarian cancer
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service