Ontology highlight
ABSTRACT: Background
As several rare genomic variants have been shown to affect common phenotypes, rare variants association analysis has received considerable attention. Several efficient association tests using genotype and phenotype similarity measures have been proposed in the literature. The major advantages of similarity-based tests are their ability to accommodate multiple types of DNA variations within one association test, and to account for the possible interaction within a region. However, not much work has been done to compare the performance of similarity-based tests on rare variants association scenarios, especially when applied with different rare variants pooling strategies.Results
Based on the population genetics simulations and analysis of a publicly-available seque
SUBMITTER: Zakharov S
PROVIDER: S-EPMC3600007 | biostudies-literature | 2013 Jan
REPOSITORIES: biostudies-literature