Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model

Abstract

Many important problems in evolutionary biology begin with observations of phenotypic variation. Suppose time to an event-data are used to map quantitative trait loci (QTL) and underlying population is a mixture of susceptible and non-susceptible subjects. If the cured subjects are ignored we may fail to detect the responsible genetic factors or find false significant locations. In this article, we propose a nonparametric accelerated failure time cure model which takes cured subjects as well to model time to an event.

Keywords

• Survival Function
• Interval Mapping
• AFT Cure Model
• LOD score
• EM
• Imputation