title: Generalized F accelerated failure time model for mapping survival trait loci.
abstract: 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 baseline survival distribution. EM algorithm for maximum likelihood estimation of model parameters is given. Simulations are conducted to validate the flexibility and the utility of the proposed mapping procedure. In analyzing survival time following hyperoxic acute lung injury (HALI) of mice in an F(2) mating population, the generalized F distribution performed best among the six competing survival distributions and detected four QTLs controlling differential HALI survival.
authors.affiliation: Department of Mathematics, Heilongjiang Bayi Agricultural University, Daqing, People's Republic of China.
authors.forename: Xiaojing
authors.initials: X
authors.lastname: Zhou
authors.forename: Li
authors.initials: L
authors.lastname: Yan
authors.forename: Daniel R
authors.initials: DR
authors.lastname: Prows
authors.forename: Runqing
authors.initials: R
authors.lastname: Yang
mesh_terms: D055371:Acute Lung Injury / Q000235:genetics / Q000401:mortality; D000465:Algorithms; D000818:Animals; D001499:Bayes Theorem; D002874:Chromosome Mapping / Q000379:methods*; D003198:Computer Simulation; D005819:Genetic Markers; D016013:Likelihood Functions; D051379:Mice; D008810:Mice, Inbred C57BL; D008957:Models, Genetic; D040641:Quantitative Trait Loci; D016019:Survival Analysis
chemical_list: D005819:Genetic Markers