The penetrance R package for Estimation of Age Specific Risk in Family-based Studies

Fuente: arXiv
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Autori principali: Kubista, Nicolas, Braun, Danielle, Parmigiani, Giovanni
Natura: Preprint
Pubblicazione: 2024
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author Kubista, Nicolas
Braun, Danielle
Parmigiani, Giovanni
author_facet Kubista, Nicolas
Braun, Danielle
Parmigiani, Giovanni
contents Reliable tools and software for penetrance (age-specific risk among those who carry a genetic variant) estimation are critical to improving clinical decision making and risk assessment for hereditary syndromes. We introduce penetrance, an open-source R package available on CRAN, to estimate age-specific penetrance using family-history pedigree data. The package employs a Bayesian estimation approach, allowing for the incorporation of prior knowledge through the specification of priors for the parameters of the carrier distribution. It also includes options to impute missing ages during the estimation process, addressing incomplete age information which is not uncommon in pedigree datasets. Our open-source software provides a flexible and user-friendly tool for researchers to estimate penetrance in complex family-based studies, facilitating improved genetic risk assessment in hereditary syndromes.
format Preprint
id arxiv_https___arxiv_org_abs_2411_18816
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The penetrance R package for Estimation of Age Specific Risk in Family-based Studies
Kubista, Nicolas
Braun, Danielle
Parmigiani, Giovanni
Computation
Applications
Reliable tools and software for penetrance (age-specific risk among those who carry a genetic variant) estimation are critical to improving clinical decision making and risk assessment for hereditary syndromes. We introduce penetrance, an open-source R package available on CRAN, to estimate age-specific penetrance using family-history pedigree data. The package employs a Bayesian estimation approach, allowing for the incorporation of prior knowledge through the specification of priors for the parameters of the carrier distribution. It also includes options to impute missing ages during the estimation process, addressing incomplete age information which is not uncommon in pedigree datasets. Our open-source software provides a flexible and user-friendly tool for researchers to estimate penetrance in complex family-based studies, facilitating improved genetic risk assessment in hereditary syndromes.
title The penetrance R package for Estimation of Age Specific Risk in Family-based Studies
topic Computation
Applications
url https://arxiv.org/abs/2411.18816