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Van Steen, K. 2012. Travelling the world of gene-gene interactions. Briefings in Bioinformatics, Vol. 13, Issue. 1, p. 1.
Besnier, François Le Rouzic, Arnaud and Álvarez-Castro, José M. 2010. Applying QTL analysis to conservation genetics. Conservation Genetics, Vol. 11, Issue. 2, p. 399.
Gelegen, C. Pjetri, E. Campbell, I.C. Collier, D.A. Oppelaar, H. and Kas, M.J.H. 2010. Chromosomal mapping of excessive physical activity in mice in response to a restricted feeding schedule. European Neuropsychopharmacology, Vol. 20, Issue. 5, p. 317.
Wei, W-H Knott, S Haley, C S and de Koning, D-J 2010. Controlling false positives in the mapping of epistatic QTL. Heredity, Vol. 104, Issue. 4, p. 401.
WRIGHT, D. RUBIN, C.-J. MARTINEZ BARRIO, A. SCHÜTZ, K. KERJE, S. BRÄNDSTRÖM, H. KINDMARK, A. JENSEN, P. and ANDERSSON, L. 2010. The genetic architecture of domestication in the chicken: effects of pleiotropy and linkage. Molecular Ecology, Vol. 19, Issue. 23, p. 5140.
Wang, Shuang and Zhao, Hongyu 2007. Sample Size Needed to Detect Gene-Gene Interactions Using Linkage Analysis. Annals of Human Genetics, Vol. 71, Issue. 6, p. 828.
Kadarmideen, Haja N. von Rohr, Peter and Janss, Luc L.G. 2006. From genetical genomics to systems genetics: potential applications in quantitative genomics and animal breeding. Mammalian Genome, Vol. 17, Issue. 6, p. 548.
Macgregor, Stuart and Khan, Imtiaz A 2006. GAIA: An easy-to-use web-based application for interaction analysis of case-control data. BMC Medical Genetics, Vol. 7, Issue. 1,
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Wright, Dominic Butlin, Roger K. and Carlborg, Örjan 2006. Epistatic regulation of behavioural and morphological traits in the zebrafish (Danio rerio). Behavior Genetics, Vol. 36, Issue. 6, p. 914.
Carlborg, Örjan Brockmann, Gudrun A. and Haley, Chris S. 2005. Simultaneous mapping of epistatic QTL in DU6i × DBA/2 mice. Mammalian Genome, Vol. 16, Issue. 7, p. 481.
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Hanlon, Phil and Lorenz, Andy 2005. A computational method to detect epistatic effects contributing to a quantitative trait. Journal of Theoretical Biology, Vol. 235, Issue. 3, p. 350.
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Carlborg, Örjan and Haley, Chris S. 2004. Opinion: Epistasis: too often neglected in complex trait studies?. Nature Reviews Genetics, Vol. 5, Issue. 8, p. 618.
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Threadgill, David W. Hunter, Kent W. Zou, Fei and Manly, Kenneth F. 2004. Mouse Models of Human Cancer.
Here, we describe a randomization testing strategy for mapping interacting quantitative trait loci (QTLs). In a forward selection strategy, non-interacting QTLs and simultaneously mapped interacting QTL pairs are added to a total genetic model. Simultaneous mapping of epistatic QTLs increases the power of the mapping strategy by allowing detection of interacting QTL pairs where none of the QTL can be detected by their marginal additive and dominance effects. Randomization testing is used to derive empirical significance thresholds for every model selection step in the procedure. A simulation study was used to evaluate the statistical properties of the proposed randomization tests and for which types of epistasis simultaneous mapping of epistatic QTLs adds power. Least squares regression was used for QTL parameter estimation but any other QTL mapping method can be used. A genetic algorithm was used to search for interacting QTL pairs, which makes the proposed strategy feasible for single processor computers. We believe that this method will facilitate the evaluation of the importance at epistatic interaction among QTLs controlling multifactorial traits and disorders.
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