Utilizing high-dimensional data with genome-wide scan data to identify novel genetic susceptibility variants for colorectal cancer

Principal Investigator

Name
Ulrike Peters

Institution
Fred Hutchinson Cancer Research Center

Position Title
Member

Email
upeters@fredhutch.org

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-23

Initial CDAS Request Approval
Mar 28, 2013

Title
Utilizing high-dimensional data with genome-wide scan data to identify novel genetic susceptibility variants for colorectal cancer

Summary
We hypothesize that using gene expression data as well as other high-dimensional data can improve power to detect susceptibility loci in GWAS by targeting functional SNPs rather than a genome-wide agnostic search. We propose to use such data to identify novel CRC SNPs. We will utilize high-dimensional data generated from samples from colorectal cancer tissue and surrounding normal tissue, as well as data from The Cancer Genome Atlas. We will utilize these data to identify putative functional SNPs for analysis in Genetics & Epidemiology of Colorectal Cancer Consortium (GECCO), in which PLCO is a collaborator.

Aims

We aim to utilize high-dimensional data with genome-wide scan data to identify novel genetic susceptibility variants for colorectal cancer. By leveraging high-dimensional data, such as gene expression, we can increase the power of GWAS by identifying regions of functional significance and/or novel pathways that may be involved in CRC.

Collaborators

Robert Gentleman, Genentech