Identification of genetic variants predictive of early onset pancreatic cancer through a population science analysis of functional genomic datasets.
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ABSTRACT: Biomarkers are critically needed for the early detection of pancreatic cancer (PC) are urgently needed. Our purpose was to identify a panel of genetic variants that, combined, can predict increased risk for early-onset PC and thereby identify individuals who should begin screening at an early age. Previously, we identified genes using a functional genomic approach that were aberrantly expressed in early pathways to PC tumorigenesis. We now report the discovery of single nucleotide polymorphisms (SNPs) in these genes associated with early age at diagnosis of PC using a two-phase study design. In silico and bioinformatics tools were used to examine functional relevance of the identified SNPs. Eight SNPs were consistently associated with age at diagnosis in the discovery phase, validation pha
SUBMITTER: Chen J
PROVIDER: S-EPMC5302929 | biostudies-literature | 2016 Aug
REPOSITORIES: biostudies-literature
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