Insights into Pancreatic Cancer Etiology from Pathway Analysis of Genome-Wide Association Study Data

Peng Wei, Hongwei Tang and Donghui Li

PLOS ONE, 2012, vol. 7, issue 10, 1-10

Abstract: Background: Pancreatic cancer is the fourth leading cause of cancer death in the U.S. and the etiology of this highly lethal disease has not been well defined. To identify genetic susceptibility factors for pancreatic cancer, we conducted pathway analysis of genome-wide association study (GWAS) data in 3,141 pancreatic cancer patients and 3,367 controls with European ancestry. Methods: Using the gene set ridge regression in association studies (GRASS) method, we analyzed 197 pathways identified from the Kyoto Encyclopedia of Genes and Genomes database. We used the logistic kernel machine (LKM) test to identify major contributing genes to each pathway. We conducted functional enrichment analysis of the most significant genes (P

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0046887

DOI: 10.1371/journal.pone.0046887

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