MRC Epidemiology Unit

 

Incorporating multiple sets of eQTL weights into gene-by-environment interaction analysis identifies novel susceptibility loci for pancreatic cancer.

Yang T, Tang H, Risch HA, Olson SH, Peterson G, Bracci PM, Gallinger S, Hung RJ, Neale RE, Scelo G, Duell EJ, Kurtz RC, Khaw KT, Severi G, Sund M, Wareham N, Amos CI, Li D, Wei P

Genetic epidemiology. Feb 2020

(DOI : 10.1002/gepi.22348)

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Axonal guidance signaling pathway interacting with smoking in modifying the risk of pancreatic cancer: a gene- and pathway-based interaction analysis of GWAS data.

Tang H, Wei P, Duell EJ, Risch HA, Olson SH, Bueno-de-Mesquita HB, Gallinger S, Holly EA, Petersen G, Bracci PM, McWilliams RR, Jenab M, Riboli E, Tjønneland A, Boutron-Ruault MC, Kaaks R, Trichopoulos D, Panico S, Sund M, Peeters PH, Khaw KT, Amos CI, Li D

Carcinogenesis. Jan 2014

(DOI : 10.1093/carcin/bgu010)

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Genes-environment interactions in obesity- and diabetes-associated pancreatic cancer: a GWAS data analysis.

Tang H, Wei P, Duell EJ, Risch HA, Olson SH, Bueno-de-Mesquita HB, Gallinger S, Holly EA, Petersen GM, Bracci PM, McWilliams RR, Jenab M, Riboli E, Tjønneland A, Boutron-Ruault MC, Kaaks R, Trichopoulos D, Panico S, Sund M, Peeters PH, Khaw KT, Amos CI, Li D

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. Oct 2013

(DOI : 10.1158/1055-9965.EPI-13-0437-T)

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