Related Experiment Video
Updated: May 6, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Bayesian analysis of linkage between genetic markers and quantitative trait loci. II. Combining prior knowledge with
1Department of Dairy Science, Virginia Polytechnic Institute and State University, 24061-0315, Blacksburg, VA, USA.
Abstract:
A Bayesian method was developed for identifying genetic markers linked to quantitative trait loci (QTL) by analyzing data from daughter or granddaughter designs and single markers or marker pairs. Traditional methods may yield unrealistic results because linkage tests depend on number of markers and QTL gene effects associated with selected markers are overestimated. The Bayesian or posterior probability of linkage combines information from a daughter or granddaughter design with the prior probability of linkage between a marker locus and a QTL. If the posterior probability exceeds a certain quantity, linkage is declared. Upon linkage acceptance, Bayesian estimates of marker-QTL recombination rate and QTL gene effects and frequencies are obtained. The Bayesian estimates of QTL gene effects account for different amounts of information by shrinking information from data toward the mean or mode of a prior exponential distribution of gene effects. Computation of the Bayesian analysis is feasible. Exact results are given for biallelic QTL, and extensions to multiallelic QTL are suggested.
More Related Videos
Related Concept Videos
Dihybrid Crosses
Epistasis Analysis
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Behavioral Genetics and Its Designs
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Hardy-Weinberg Principle
Incomplete Dominance

