Joint tests for quantitative trait loci in experimental crosses

• Main Authors: Xu Shizhong, Amos Christopher I, Travis Elizabeth L, Bullard Daniel C, Yi Nengjun, Yang Dongyan, Beasley T Mark, Allison David B
• Format: Article
• Language: deu
• Published: BMC 2004-11-01
• Series: Genetics Selection Evolution
• Subjects: joint tests; quantitative trait loci; linkage; F2 cross; backcross
• Online Access: http://www.gsejournal.org/content/36/6/601

<p>Abstract</p> <p>Selective genotyping is common because it can increase the expected correlation between QTL genotype and phenotype and thus increase the statistical power of linkage tests (<it>i.e.</it>, <it>regression-based </it>tests). Linkage can also be tested by assessing whether the marginal genotypic distribution conforms to its expectation, a <it>marginal-based </it>test. We developed a class of joint tests that, by constraining intercepts in regression-based analyses, capitalize on the information available in both <it>regression-based </it>and <it>marginal-based </it>tests. We simulated data corresponding to the null hypothesis of no QTL effect and the alternative of some QTL effect at the locus for a backcross and an F2 intercross between inbred strains. Regression-based and marginal-based tests were compared to corresponding joint tests. We studied the effects of random sampling, selective sampling from a single tail of the phenotypic distribution, and selective sampling from both tails of the phenotypic distribution. Joint tests were nearly as powerful as all competing alternatives for random sampling and two-tailed selection under both backcross and F2 intercross situations. Joint tests were generally more powerful for one-tailed selection under both backcross and F2 intercross situations. However, joint tests cannot be recommended for one-tailed selective genotyping if segregation distortion is suspected.</p>