Bayesian Mapping Analysis For Genomic Architecture Of Survival Traits Based On The Accelerated Failure Time Model

In the field of survival analysis, there is a model besides proportional hazard function model, called the accelerated failure time model (AFT). This model can analyze the regression relation between covariate and log survival time, and its form and explanation of regression coefficient is close to the general linear regression equation, the explanation of analysis results is more simple, more direct and easier to understand than that of proportional hazard function model.Survival time is a special quantitative trait, which does not follow normal distribution. There are some specific statistical approaches, such as parametric and semi-parametric models, available to map QTL for survival traits. These approaches always involve the solution of nonlinear equations, therefore, they are not suitable to analyse genomic architecture of multiple epistatic QTLs of survival traits. However, accelerated failure time model is an exception due to its linearity.This paper introduces the related concepts and methods of survival analysis and QTL mapping in detail. This study uses accelerated failure time model for Bayesian QTL mapping, combining the survival analysis and biometrical genetics, and studies on the principle of Bayesian mapping analysis for Genomic Architecture of Survival Traits based on the accelerated failure time model. The simulation studies and real data analysis proves that this method is higher efficient in detection and more precise in estimate of parameters than analysing survival trait directly. This study provides a new method for analysis of genetic structure in biotic survival traits, and has important significance in the field of Biology.