SearcharxivSearch

arXiv subjects

Nicolas Kubista

Publications and source records attributed to Nicolas Kubista.

2 recordsLinked to original sources

BreakLoops: A New Feature for the Multi-Gene, Multi-Cancer Family History-Based Model, Fam3Pro

Previously, we presented PanelPRO, now known as Fam3PRO, an open-source R package for multi-gene, multi-cancer risk modeling with pedigree data. The initial release could not handle pedigrees that contained cyclic structures called loops, which occur when relatives mate. Here, we present a graph-based function called breakloops that can detect and break loops in any pedigree. The core algorithm identifies the optimal set of loop breakers when individuals in a loop have exactly one parental mating, and extends to handle cases where individuals have multiple parental matings. The algorithm transforms complex pedigrees by strategically creating clones of key individuals to disrupt cycles while minimizing computational complexity. Our extensive testing demonstrates that this new feature can handle a wide variety of pedigree structures. The breakloops function is available in Fam3Pro version 2.0.0. This advancement enables Fam3Pro to assess cancer risk in a wider range of family structures, enhancing its applicability in clinical settings

stat.CO

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

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.

stat.CO