2005
DOI: 10.1051/gse:2004041
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Statistical power for detecting epistasis QTL effects under the F-2 design

Abstract: -Epistasis refers to gene interaction effect involving two or more genes. Statistical methods for mapping quantitative trait loci (QTL) with epistasis effects have become available recently. However, little is known about the statistical power and sample size requirements for mapping epistatic QTL using genetic markers. In this study, we developed analytical formulae to calculate the statistical power and sample requirement for detecting each epistasis effect under the F-2 design based on crossing inbred lines… Show more

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Cited by 2 publications
(2 citation statements)
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“…Although an F 2 intercross with 310 animals is underpowered to identify epistatic loci (Mao and Da 2005), the DobzhanskyMuller model suggests that the hybrid male sterility that we observed is indeed caused by multi-locus incompatibilities.…”
Section: Dobzhansky-muller Incompatibilities With the X Chromosomementioning
confidence: 97%
“…Although an F 2 intercross with 310 animals is underpowered to identify epistatic loci (Mao and Da 2005), the DobzhanskyMuller model suggests that the hybrid male sterility that we observed is indeed caused by multi-locus incompatibilities.…”
Section: Dobzhansky-muller Incompatibilities With the X Chromosomementioning
confidence: 97%
“…This apparent contradiction between our results and those of previous studies is likely to be the result of our low power to detect epistasis. Detecting epistasis is far more difficult than detecting single QTL and requires relatively big samples sizes (n > 400), especially in the case of interactions involving dominance effects (Mao and Da 2005; Wei et al 2010). Dominance is an important component of variance in beak length in soapberry bugs (Carroll et al 2001; Carroll 2007).…”
Section: Resultsmentioning
confidence: 99%