purgeR: inbreeding and purging in pedigreed populations

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Inbreeding depression and genetic purging are important processes shaping the survivability and evolution of small populations. However, detecting purging is challenging in practice, in part because there are limited tools dedicated to it. I present a new R package to assist population analyses on detection and quantification of the inbreeding depression and genetic purging of biological fitness in pedigreed populations. It includes a collection of methods to estimate different measurements of inbreeding (Wright’s, partial and ancestral inbreeding coefficients) as well as purging parameters (purged inbreeding, and opportunity of purging coefficients). Additional functions are also included to estimate population parameters, allowing to contextualize inbreeding and purging these results in terms of the population demographic history. purgeR is a valuable tool to gain insight into processes related to inbreeding and purging, and to better understand fitness and inbreeding load evolution in small populations.

Availability and implementation
purgeR is an R package available at CRAN, and can be installed via install.packages(“purgeR”). Source code is maintained at a GitLab repository (https://gitlab.com/elcortegano/purgeR).
Original languageEnglish
Publication statusPublished - 18 Aug 2021


Dive into the research topics of 'purgeR: inbreeding and purging in pedigreed populations'. Together they form a unique fingerprint.

Cite this