1. Germline BRCA2 K3326X and CHEK2 I157T mutations increase risk for sporadic pancreatic ductal adenocarcinoma
- Author
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Verena Katzke, Rita T. Lawlor, Ugo Boggi, Paola Fogar, Livia Archibugi, George Theodoropoulos, Beatrice Mohelnikova-Duchonova, C. E. Radu, Giulia Martina Cavestro, Christos Dervenis, Francesca Federici, Federico Canzian, Jakob R. Izbicki, Claudio Pasquali, Aldo Scarpa, Valerio Pazienza, Péter Hegyi, Renata Talar-Wojnarowska, Frank Bergmann, Thomas Pausch, Stefano Landi, Maurizio Cantore, Stig E. Bojesen, Theron Johnson, Oliver Strobel, Ewa Małecka-Panas, Thilo Hackert, Angelo Andriulli, Audrius Ivanauskas, Benny V. Jensen, J. Kaiser, Daniele Campa, Andrea Mambrini, Orazio Palmieri, Gabriele Capurso, Ludmila Vodickova, Maria Gazouli, Evaristo Maiello, Roberto Salvia, Elżbieta Iskierka-Jażdżewska, Christine Tjaden, Rudolph Kaaks, M. Di Leo, Anna Caterina Milanetto, Pavel Soucek, Daniela Basso, Julia S. Johansen, H Brenner, Raffaele Pezzilli, Katarina Cuk, Ofure Obazee, Cosimo Sperti, Pavel Vodicka, Juozas Kupcinskas, Kai Uwe Saum, Yogesh K. Vashist, G. Delle Fave, Andrea Szentesi, Cristian Gheorghe, Radmila Lemstrová, and Inna Chen
- Subjects
Oncology ,Cancer Research ,Mutation ,medicine.medical_specialty ,Pancreatic disease ,business.industry ,Disease ,Odds ratio ,medicine.disease ,medicine.disease_cause ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Pancreatic cancer ,Internal medicine ,medicine ,Family history ,business ,Risk assessment ,CHEK2 - Abstract
Rare truncating BRCA2 K3326X (rs11571833) and pathogenic CHEK2 I157T (rs17879961) variants have previously been implicated in familial pancreatic ductal adenocarcinoma (PDAC), but not in sporadic cases. The effect of both mutations in important DNA repair genes on sporadic PDAC risk may shed light on the genetic architecture of this disease. Both mutations were genotyped in germline DNA from 2,935 sporadic PDAC cases and 5,626 control subjects within the PANcreatic Disease ReseArch (PANDoRA) consortium. Risk estimates were evaluated using multivariate unconditional logistic regression with adjustment for possible confounders such as sex, age and country of origin. Statistical analyses were two-sided with p values
- Published
- 2019
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