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Usually, statistical methods for mapping quantitative trait loci (QTL) require that the phenotypes follow the normal distribution and therefore may not be appropriate to analyze survival traits of skewed distribution. As a result, parametric and semi-parametric models in survival analysis are incorporated into the framework of the interval mapping for survival trait loci. Through formulating the effects...
Genomic imprinting, a genetic phenomenon of non-equivalent allele expression that depends on parental origins, has been ubiquitously observed in nature. It does not only control the traits of growth and development but also may be responsible for survival traits. Based on the accelerated failure time model, we construct a general parametric model for mapping the imprinted QTL (iQTL). Within the framework...
As the two most popular models in survival analysis, the accelerated failure time (AFT) model can more easily fit survival data than the Cox proportional hazards model (PHM). In this study, we develop a general parametric AFT model for identifying survival trait loci, in which the flexible generalized F distribution, including many commonly used distributions as special cases, is specified as the...
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