segregatr: Segregation Analysis for Variant Interpretation

An implementation of the full-likelihood Bayes factor (FLB) for evaluating segregation evidence in clinical medical genetics. The method was introduced by Thompson et al. (2003) <doi:10.1086/378100>. This implementation supports custom penetrance values and liability classes, and allows visualisations and robustness analysis as presented in Ratajska et al. (2023) <doi:10.1002/mgg3.2107>. See also the online app 'shinyseg', <https://chrcarrizosa.shinyapps.io/shinyseg>, which offers interactive segregation analysis with many additional features (Carrizosa et al. (2024) <doi:10.1093/bioinformatics/btae201>).

Package details

AuthorMagnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>), Christian Carrizosa [aut] (<https://orcid.org/0000-0002-3919-0011>)
MaintainerMagnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
LicenseGPL-3
Version0.4.0
URL https://github.com/magnusdv/segregatr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("segregatr")

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segregatr documentation built on June 28, 2024, 5:08 p.m.