ArticleGenetics2003
Bayesian model choice and search strategies for mapping interacting quantitative trait Loci.
Article in Genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 104 citations in OpenAlex.
- Reversible jumps for the joint modeling of the dimension of pseudo-functional models in chromosomal windows in genome-wide selection.BMC genomics · 2026Article
- Efficiency of mapping epistatic quantitative trait loci.Heredity · 2023Article
- Glycine supplementation extends lifespan of male and female mice.Aging cell · 2019Article
- Bayesian reversible-jump for epistasis analysis in genomic studies.BMC genomics · 2016Article
- Identification of QTLs for seed and pod traits in soybean and analysis for additive effects and epistatic effects of QTLs among multiple environments.Molecular genetics and genomics : MGG · 2013Article
- Dynamic semiparametric Bayesian models for genetic mapping of complex trait with irregular longitudinal data.Statistics in medicine · 2013Article
- Genetic mapping of complex traits by minimizing integrated square errors.BMC genetics · 2012Article
- Multiallelic epistatic model for an out-bred cross and mapping algorithm of interactive quantitative trait loci.BMC plant biology · 2011Article
- Bayesian functional mapping of dynamic quantitative traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
- Dissection of QTL effects for root traits using a chromosome arm-specific mapping population in bread wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
- Detection of epistatic interactions between exotic alleles introgressed from wild barley (H. vulgare ssp. spontaneum).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010Article
- Mapping genome-wide QTL of ratio traits with Bayesian shrinkage analysis for its component traits.Genetica · 2010Article
- Article
- Significance test and genome selection in bayesian shrinkage analysis.International journal of plant genomics · 2010Article
- A new Bayesian automatic model selection approach for mapping quantitative trait loci under variance component model.Genetica · 2009Article
- Deviance Information Criterion (DIC) in Bayesian Multiple QTL Mapping.Computational statistics & data analysis · 2009Article
- A model selection approach for the identification of quantitative trait loci in experimental crosses, allowing epistasis.Genetics · 2009Article
- Article
- Bayesian analysis of genetic architecture of quantitative trait using data of crosses of multiple inbred lines.Genetica · 2008Article
- Predicting unobserved phenotypes for complex traits from whole-genome SNP data.PLoS genetics · 2008Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
Most complex traits of animals, plants, and humans are influenced by multiple genetic and environmental factors. Interactions among multiple genes play fundamental roles in the genetic control and evolution of complex traits. Statistical modeling of interaction effects in quantitative trait loci (QTL) analysis must accommodate a very large number of potential genetic effects, which presents a major challenge to determining the genetic model with respect to the number of QTL, their positions, and their genetic effects. In this study, we use the methodology of Bayesian model and variable selection to develop strategies for identifying multiple QTL with complex epistatic patterns in experimental designs with two segregating genotypes. Specifically, we develop a reversible jump Markov chain Monte Carlo algorithm to determine the number of QTL and to select main and epistatic effects. With the proposed method, we can jointly infer the genetic model of a complex trait and the associated genetic parameters, including the number, positions, and main and epistatic effects of the identified QTL. Our method can map a large number of QTL with any combination of main and epistatic effects. Utility and flexibility of the method are demonstrated using both simulated data and a real data set. Sensitivity of posterior inference to prior specifications of the number and genetic effects of QTL is investigated.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.