Quantitative trait locus analysis for next-generation sequencing with the functional linear models.

ABSTRACT:

Background

Although in the past few years we have witnessed the rapid development of novel statistical methods for association studies of qualitative traits using next generation sequencing (NGS) data, only a few statistics are proposed for testing the association of rare variants with quantitative traits. The quantitative trait locus (QTL) analysis of rare variants remains challenging. Analysis from low dimensional data to high dimensional genomic data demands changes in statistical methods from multivariate data analysis to functional data analysis.

Methods

We propose a functional linear model (FLM) as a general principle for developing novel and powerful QTL analysis methods designed for resequencing data. By simulations we calculated the type I error rates and evaluated

SUBMITTER: Luo L 

PROVIDER: S-EPMC3532851 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature