ArticleGenetics2004
Modifying the Schwarz Bayesian information criterion to locate multiple interacting quantitative trait loci.
Article in Genetics, 2004. 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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43 citing papers in PubMed.
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- Information enhanced model selection for Gaussian graphical model with application to metabolomic data.Biostatistics (Oxford, England) · 2022Article
- Selecting predictive biomarkers from genomic data.PloS one · 2022Article
- Ghost QTL and hotspots in experimental crosses: novel approach for modeling polygenic effects.Genetics · 2021Article
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- Direct, operando observation of the bilayer solid electrolyte interphase structure: Electrolyte reduction on a non-intercalating electrode.Journal of power sources · 2019Article
- Bayesian variable selection for parametric survival model with applications to cancer omics data.Human genomics · 2018Article
- Adaptive modelling of gene regulatory network using Bayesian information criterion-guided sparse regression approach.IET systems biology · 2016Article
- An Adaptive Ridge Procedure for L0 Regularization.PloS one · 2016Article
- Penalized multimarker vs. single-marker regression methods for genome-wide association studies of quantitative traits.Genetics · 2015Article
- Model selection emphasises the importance of non-chromosomal information in genetic studies.PloS one · 2015Article
- Fence Methods for Backcross Experiments.Journal of statistical computation and simulation · 2014Article
- Analyzing genome-wide association studies with an FDR controlling modification of the Bayesian Information Criterion.PloS one · 2014Article
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- Use of Mutant-Assisted Gene Identification and Characterization (MAGIC) to identify novel genetic loci that modify the maize hypersensitive response.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
- Gene-based tests of association.PLoS genetics · 2011Article
- Marker-assisted prediction of non-additive genetic values.Genetica · 2011Article
- A performance evaluation framework for association mining in spatial data.Journal of intelligent information systems · 2010Article
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3 authors.
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Abstract
The problem of locating multiple interacting quantitative trait loci (QTL) can be addressed as a multiple regression problem, with marker genotypes being the regressor variables. An important and difficult part in fitting such a regression model is the estimation of the QTL number and respective interactions. Among the many model selection criteria that can be used to estimate the number of regressor variables, none are used to estimate the number of interactions. Our simulations demonstrate that epistatic terms appearing in a model without the related main effects cause the standard model selection criteria to have a strong tendency to overestimate the number of interactions, and so the QTL number. With this as our motivation we investigate the behavior of the Schwarz Bayesian information criterion (BIC) by explaining the phenomenon of the overestimation and proposing a novel modification of BIC that allows the detection of main effects and pairwise interactions in a backcross population. Results of an extensive simulation study demonstrate that our modified version of BIC performs very well in practice. Our methodology can be extended to general populations and higher-order interactions.
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