The utility of Bayesian model averaging for detecting known oligogenic effects
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Updated: Oct 1, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
Published on: December 10, 2012
L J Martin1, A G Comuzzie, K E North
1Department of Genetics, Southwest Foundation for Biomedical Research, 7620 NW Loop 410, P.O. Box 760549, San Antonio, TX 78245-0549, USA.
Abstract:
In this paper we examine the utility of the Bayesian model averaging approach proposed by Blangero et al. [Genet Epidemiol 17(Suppl. 1):S67-72, 1999] for the detection of known oligogenic effects on quantitative trait 1 (Q1) in the simulated Genetic Analysis Workshop 12 data. The results were consistent with the underlying genetic model: two major QTLs were identified on chromosomes 19 and 2, with heritabilities of 17% and 20%, respectively, located near the position of major genes 1 and 2.
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