Online Program Home
My Program

Abstract Details

Activity Number: 242
Type: Contributed
Date/Time: Monday, August 1, 2016 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #318549 View Presentation
Title: Case-Oriented Pathways Analysis in Pancreatic Adenocarcinoma
Author(s): Yen-Yi Ho* and Timothy K. Starr and Rebecca S. LaRue and David A. Largaespada
Companies: University of Minnesota and University of Minnesota and Minnesota Super Computing Institute and University of Minnesota
Keywords: Case-oriented gene set analysis ; Cancer mutation analysis ; Driver pathway

Background: Mutation studies of pancreatic ductal adenocarcinoma (PDA) have cataloged a number of genes mutated at high frequencies, but also report a very large number of genes mutated in lower percentages of tumors. Result: In this project, we determined whether the genetic mutations in SB-accelerated PDA occur within a collated group of biological processes defined as gene sets. The approach considered both genes mutated in high and lower frequencies. We implemented a case-oriented, gene set enrichment analysis (CO-GSEA) on SB altered genes in PDA. Compared to traditional GSEA, CO-GSEA enables us to consider individual characteristics of mutation profiles of each PDA tumor. We identified genetic pathways with higher numbers of genetic mutations than expected by chance.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

Copyright © American Statistical Association