Pathway analysis of genome-wide data improves warfarin dose prediction.

ABSTRACT:

Background

Many genome-wide association studies focus on associating single loci with target phenotypes. However, in the setting of rare variation, accumulating sufficient samples to assess these associations can be difficult. Moreover, multiple variations in a gene or a set of genes within a pathway may all contribute to the phenotype, suggesting that the aggregation of variations found over the gene or pathway may be useful for improving the power to detect associations.

Results

Here, we present a method for aggregating single nucleotide polymorphisms (SNPs) along biologically relevant pathways in order to seek genetic associations with phenotypes. Our method uses all available genetic variants and does not remove those in linkage disequilibrium (LD). Instead, it uses a no

SUBMITTER: Daneshjou R 

PROVIDER: S-EPMC3829086 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature