Estimating proportions of explained variance: a comparison of whole genome subsets.

ABSTRACT: Following the publication of the ENCODE project results, there has been increasing interest in investigating different areas of the chromosome and evaluating the relative contribution of each area to expressed phenotypes. This study aims to evaluate the contribution of variants, classified by minor allele frequency and gene annotation, to the observed interindividual differences. In this study, we fitted Bayesian linear regression models to data from Genetic Analysis Workshop 18 (n = 395) to estimate the variance of standardized and log-transformed systolic blood pressure that can be explained by subsets of genetic markers. Rare and very rare variants explained an overall higher proportion of the variance, as did markers located within a gene rather than flanking regions. The proportion of

SUBMITTER: Aslibekyan S 

PROVIDER: S-EPMC4143698 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature