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Binary Trait Analysis Quantitative trait locus (QTL) mapping methodology for continuous normally distributed traits is the subject of much attention in the literature. Binary trait locus (BTL) mapping in experimental populations has received much less attention. BTL are thought of as one or two loci of major effect that are primarily responsible for the binary trait of interest. In the case of incomplete penetrance, a binary trait by definition has only two possible values, and the penetrance parameter is restricted to values between zero and one. We use a general probability model based on classical transmission genetics to develop a likelihood for the binary phenotype and to estimate recombination and penetrance for multiple BTL under complex genetic models. A new SAS procedure, PROC BTL, has been developed and is freely available by request. PROC BTL includes model selection for a wide range of model selection criteria and implements all of the standard model selection techniques. References:
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