Exploring multilocus associations of inflammation genes and colorectal cancer risk using hapConstructor.

ABSTRACT:

Background

In candidate-gene association studies of single nucleotide polymorphisms (SNPs), multilocus analyses are frequently of high dimensionality when considering haplotypes or haplotype pairs (diplotypes) and differing modes of expression. Often, while candidate genes are selected based on their biological involvement in a given pathway, little is known about the functionality of SNPs to guide association studies. Investigators face the challenge of exploring multiple SNP models to elucidate which variants, independently or in combination, might be associated with a disease of interest. A data mining module, hapConstructor (freely-available in Genie software) performs systematic construction and association testing of multilocus genotype data in a Monte Carlo framework. Our ob

SUBMITTER: Curtin K 

PROVIDER: S-EPMC3006374 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature