ArticleGenetics2002
A penalized likelihood method for mapping epistatic quantitative trait Loci with one-dimensional genome searches.
Article in Genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Efficiency of mapping epistatic quantitative trait loci.Heredity · 2023Article
- Bias correction for estimated QTL effects using the penalized maximum likelihood method.Heredity · 2012Article
- QTL analysis of seed germination and pre-emergence growth at extreme temperatures in Medicago truncatula.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
- A model selection approach for the identification of quantitative trait loci in experimental crosses, allowing epistasis.Genetics · 2009Article
- Genetic influences on growth and body composition in mice: multilocus interactions.International journal of obesity (2005) · 2009Article
- Article
- Inclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2008Article
- QTL analysis reveals context-dependent loci for seed glucosinolate trait in the oilseed Brassica juncea: importance of recurrent selection backcross scheme for the identification of 'true' QTL.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2007Article
- Article
- Article
- QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2006Article
- Simultaneous mapping of epistatic QTL in DU6i x DBA/2 mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2005Article
- Mapping quantitative trait loci with censored observations.Genetics · 2004Article
- Modifying the Schwarz Bayesian information criterion to locate multiple interacting quantitative trait loci.Genetics · 2004Article
- Bayesian model choice and search strategies for mapping interacting quantitative trait Loci.Genetics · 2003Article
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3 authors.
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Abstract
Epistasis is a common and important phenomenon, as indicated by results from a number of recent experiments. Unfortunately, the discovery of epistatic quantitative trait loci (QTL) is difficult since one must search for multiple QTL simultaneously in two or more dimensions. Such a multidimensional search necessitates many statistical tests, and a high statistical threshold must be adopted to avoid false positives. Furthermore, the large number of (interaction) parameters in comparison with the number of observations results in a serious danger of overfitting and overinterpretation of the data. In this article we present a new statistical framework for mapping epistasis in inbred line crosses. It is based on reducing the high dimensionality of the problem in two ways. First, epistatic QTL are mapped in a one-dimensional genome scan for high interactions between QTL and the genetic background. Second, the dimension of the search is bounded by penalized likelihood methods. We use simulated backcross data to illustrate the new approach.
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