Associations of novel variants in PIK3C3, INSR and MAP3K4 of the ATM pathway genes with pancreatic cancer risk.
Abstract
The ATM serine/threonine kinase (ATM) pathway plays important roles in pancreatic
cancer (PanC) development and progression, but the roles of genetic variants of the
genes in this pathway in the etiology of PanC are unknown. In the present study, we
assessed associations between 31,499 single nucleotide polymorphisms (SNPs) in 198
ATM pathway-related genes and PanC risk using genotyping data from two previously
published PanC genome-wide association studies (GWASs) of 15,423 subjects of European
ancestry. In multivariable logistic regression analysis, we identified three novel
independent SNPs to be significantly associated with PanC risk [PIK3C3 rs76692125
G>A: odds ratio (OR)=1.26, 95% confidence interval (CI)=1.12-1.43 and P=2.07×10-4,
INSR rs11668724 G>A: OR=0.89, 95% CI=0.84-0.94 and P=4.21×10-5 and MAP3K4 rs13207108
C>T: OR=0.83, 95% CI=0.75-0.92, P=2.26×10-4]. The combined analysis of these three
SNPs exhibited an increased PanC risk in a dose-response manner as the number of unfavorable
genotypes increased (P trend<0.0001). The risk-associated rs76692125 A allele was
correlated with decreased PIK3C3 mRNA expression levels, while the protective-associated
rs11668724 A allele was correlated with increased INSR mRNA expression levels, but
additional mechanistic studies of these SNPs are warranted. Once validated, these
SNPs may serve as biomarkers for PanC risk in populations of European ancestry.
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Show full item recordScholars@Duke
Sheng Luo
Professor of Biostatistics & Bioinformatics
Kyle Walsh
Associate Professor of Neurosurgery
Dr. Walsh is Associate Professor of Neurosurgery and Pathology, Director of the Division
of Neuro-epidemiology, and a Senior Fellow in the Duke Center for the Study of Aging
and Human Development. He leads Duke’s Neuro-epidemiology Lab, which integrates bench
science with statistical methods to study the neurobiology of glial senescence and
gliomagenesis. This research interrogates human genomic and epigenomic profiles to
identify both heritable and modifiable factors that contribute to ne
Qingyi Wei
Professor in Population Health Sciences
Qingyi Wei, MD, PhD, Professor in the Department of Medicine, is Associate Director
for Cancer Control and Population Sciences, Co-leader of CCPS and Co-leader of Epidemiology
and Population Genomics (Focus Area 1). He is a professor of Medicine and an internationally
recognized epidemiologist focused on the molecular and genetic epidemiology of head
and neck cancers, lung cancer, and melanoma. His research focuses on biomarkers and
genetic determinants for the DNA repair deficient phenotype and
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