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Related Experiment Video

Updated: Aug 6, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

GENLIB: new function to simulate haplotype transmission in large complex genealogies.

Mohan Rakesh¹, Hélène Vézina^2,3,4, Catherine Laprise^4,5

¹School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.

Bioinformatics (Oxford, England)

|March 17, 2023

Summary

This summary is machine-generated.

This study introduces a new function in the R package GENLIB to simulate haplotype transmission in large, complex family trees. This tool aids in studying genetic variants associated with diseases in founder populations.

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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Published on: February 3, 2023

Area of Science:

Population genetics
Statistical genetics
Bioinformatics

Background:

Founder populations with extensive genealogical data are valuable for identifying genetic variants linked to diseases.
Previous tools may have limitations in handling large and complex pedigrees for genetic analysis.

Purpose of the Study:

To introduce a significant update to the R package GENLIB, specifically a new function for simulating haplotype transmission.
To provide a tool capable of handling very large and complex user-specified genealogies.

Main Methods:

Development of the gen.simuHaplo() function within the GENLIB R package.
Simulation of haplotype transmission from founders to probands along specified complex genealogies.

Main Results:

The new gen.simuHaplo() function enables realistic simulation of genetic data inheritance.
The updated GENLIB package (v1.1.9) supports analysis of complex family structures.

Conclusions:

The enhanced GENLIB package, with its new simulation function, offers a powerful resource for genetic research in founder populations.
This advancement facilitates the investigation of genetic variants contributing to disease by modeling complex inheritance patterns.