A probabilistic method for identifying rare variants underlying complex traits.

ABSTRACT:

Background

Identifying the genetic variants that contribute to disease susceptibilities is important both for developing methodologies and for studying complex diseases in molecular biology. It has been demonstrated that the spectrum of minor allelic frequencies (MAFs) of risk genetic variants ranges from common to rare. Although association studies are shifting to incorporate rare variants (RVs) affecting complex traits, existing approaches do not show a high degree of success, and more efforts should be considered.

Results

In this article, we focus on detecting associations between multiple rare variants and traits. Similar to RareCover, a widely used approach, we assume that variants located close to each other tend to have similar impacts on traits. Therefore, we introdu

SUBMITTER: Wang J 

PROVIDER: S-EPMC3549819 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature