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Pancreatic Neoplasms: HELP
Articles by Bill Wheeler
Based on 1 article published since 2010
(Why 1 article?)

Between 2010 and 2020, Bill Wheeler wrote the following article about Pancreatic Neoplasms.
+ Citations + Abstracts
1 Article Pathway analysis of genome-wide association study data highlights pancreatic development genes as susceptibility factors for pancreatic cancer. 2012

Li, Donghui / Duell, Eric J / Yu, Kai / Risch, Harvey A / Olson, Sara H / Kooperberg, Charles / Wolpin, Brian M / Jiao, Li / Dong, Xiaoqun / Wheeler, Bill / Arslan, Alan A / Bueno-de-Mesquita, H Bas / Fuchs, Charles S / Gallinger, Steven / Gross, Myron / Hartge, Patricia / Hoover, Robert N / Holly, Elizabeth A / Jacobs, Eric J / Klein, Alison P / LaCroix, Andrea / Mandelson, Margaret T / Petersen, Gloria / Zheng, Wei / Agalliu, Ilir / Albanes, Demetrius / Boutron-Ruault, Marie-Christine / Bracci, Paige M / Buring, Julie E / Canzian, Federico / Chang, Kenneth / Chanock, Stephen J / Cotterchio, Michelle / Gaziano, J Michael / Giovannucci, Edward L / Goggins, Michael / Hallmans, Göran / Hankinson, Susan E / Hoffman Bolton, Judith A / Hunter, David J / Hutchinson, Amy / Jacobs, Kevin B / Jenab, Mazda / Khaw, Kay-Tee / Kraft, Peter / Krogh, Vittorio / Kurtz, Robert C / McWilliams, Robert R / Mendelsohn, Julie B / Patel, Alpa V / Rabe, Kari G / Riboli, Elio / Shu, Xiao-Ou / Tjønneland, Anne / Tobias, Geoffrey S / Trichopoulos, Dimitrios / Virtamo, Jarmo / Visvanathan, Kala / Watters, Joanne / Yu, Herbert / Zeleniuch-Jacquotte, Anne / Amundadottir, Laufey / Stolzenberg-Solomon, Rachael Z. ·Department of Gastrointestinal Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA. ·Carcinogenesis · Pubmed #22523087.

ABSTRACT: Four loci have been associated with pancreatic cancer through genome-wide association studies (GWAS). Pathway-based analysis of GWAS data is a complementary approach to identify groups of genes or biological pathways enriched with disease-associated single-nucleotide polymorphisms (SNPs) whose individual effect sizes may be too small to be detected by standard single-locus methods. We used the adaptive rank truncated product method in a pathway-based analysis of GWAS data from 3851 pancreatic cancer cases and 3934 control participants pooled from 12 cohort studies and 8 case-control studies (PanScan). We compiled 23 biological pathways hypothesized to be relevant to pancreatic cancer and observed a nominal association between pancreatic cancer and five pathways (P < 0.05), i.e. pancreatic development, Helicobacter pylori lacto/neolacto, hedgehog, Th1/Th2 immune response and apoptosis (P = 2.0 × 10(-6), 1.6 × 10(-5), 0.0019, 0.019 and 0.023, respectively). After excluding previously identified genes from the original GWAS in three pathways (NR5A2, ABO and SHH), the pancreatic development pathway remained significant (P = 8.3 × 10(-5)), whereas the others did not. The most significant genes (P < 0.01) in the five pathways were NR5A2, HNF1A, HNF4G and PDX1 for pancreatic development; ABO for H.pylori lacto/neolacto; SHH for hedgehog; TGFBR2 and CCL18 for Th1/Th2 immune response and MAPK8 and BCL2L11 for apoptosis. Our results provide a link between inherited variation in genes important for pancreatic development and cancer and show that pathway-based approaches to analysis of GWAS data can yield important insights into the collective role of genetic risk variants in cancer.