ArticleBMC bioinformatics2015
GENLIB: an R package for the analysis of genealogical data.
Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Mucopolysaccharidosis IIID and Beta-Mannosidosis in Brazilian Anglo-Nubian Goats: Molecular and Genealogical Insights for the Development and Implementation of a Genetic Disease Eradication Program.Animal genetics · 2026Article
- Fine-scale structure of a whole regional population through genetics and genealogies.Nature communications · 2026Article
- Rare variants and founder effect in the Beauce region of Quebec.Communications biology · 2025Article
- Automatic detection of n-degree family members.Frontiers in genetics · 2025Article
- Deciphering the genetic structure of the Quebec founder population using genealogies.European journal of human genetics : EJHG · 2024Article
- GENLIB: new function to simulate haplotype transmission in large complex genealogies.Bioinformatics (Oxford, England) · 2023Article
- Article
- Correspondence Between Genomic- and Genealogical/Coalescent-Based Inference of Homozygosity by Descent in Large French-Canadian Genealogies.Frontiers in genetics · 2021Article
- Analysis of 100 high-coverage genomes from a pedigreed captive baboon colony.Genome research · 2019Article
- Inferring Transmission Histories of Rare Alleles in Population-Scale Genealogies.American journal of human genetics · 2018Article
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundFounder populations have an important role in the study of genetic diseases. Access to detailed genealogical records is often one of their advantages. These genealogical data provide unique information for researchers in evolutionary and population genetics, demography and genetic epidemiology. However, analyzing large genealogical datasets requires specialized methods and software. The GENLIB software was developed to study the large genealogies of the French Canadian population of Quebec, Canada. These genealogies are accessible through the BALSAC database, which contains over 3 million records covering the whole province of Quebec over four centuries. Using this resource, extended pedigrees of up to 17 generations can be constructed from a sample of present-day individuals.
resultsWe have extended and implemented GENLIB as a package in the R environment for statistical computing and graphics, thus allowing optimal flexibility for users. The GENLIB package includes basic functions to manage genealogical data allowing, for example, extraction of a part of a genealogy or selection of specific individuals. There are also many functions providing information to describe the size and complexity of genealogies as well as functions to compute standard measures such as kinship, inbreeding and genetic contribution. GENLIB also includes functions for gene-dropping simulations. The goal of this paper is to present the full functionalities of GENLIB. We used a sample of 140 individuals from the province of Quebec (Canada) to demonstrate GENLIB's functions. Ascending genealogies for these individuals were reconstructed using BALSAC, yielding a large pedigree of 41,523 individuals. Using GENLIB's functions, we provide a detailed description of these genealogical data in terms of completeness, genetic contribution of founders, relatedness, inbreeding and the overall complexity of the genealogical tree. We also present gene-dropping simulations based on the whole genealogy to investigate identical-by-descent sharing of alleles and chromosomal segments of different lengths and estimate probabilities of identical-by-descent sharing.
conclusionsThe R package GENLIB provides a user friendly and flexible environment to analyze extensive genealogical data, allowing an efficient and easy integration of different types of data, analytical methods and additional developments and making this tool ideal for genealogical analysis.
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