Polygenic and multifactorial scores for pancreatic ductal adenocarcinoma risk prediction
| Autor: | John P. Neoptolemos, Markus W. Büchler, Jakob R. Izbicki, Ben Schöttker, Cosmeri Rizzato, Cornelia Schroeder, Salvatore Paiella, Hanneke W. M. van Laarhoven, William Greenhalf, Simona Bursi, Renata Talar-Wojnarowska, Christos Dervenis, Ludmila Vodickova, Francesca Tavano, Giulia Martina Cavestro, Thilo Hackert, Claudio Pasquali, Ewa Małecka-Panas, Gabriele Capurso, Andrea Mambrini, Daniele Campa, Andrea Padoan, Ioannis S. Papanikolaou, Raffaele Pezzilli, Péter Hegyi, Beatrice Mohelnikova-Duchonova, Federica Gemignani, Michael F. Nentwich, Pavel Vodicka, Stefano Landi, Richárd Szmola, Anna Caterina Milanetto, Eithne Costello, Rudolf Kaaks, Laura Ginocchi, Bernd Holleczek, Erika Darvasi, Verena Katzke, Evaristo Maiello, Manuel Gentiluomo, Ondrej Strouhal, Orazio Palmieri, Juozas Kupcinskas, Alice Alessandra Galeotti, Viktor Hlavac, George Theodoropoulos, Audrius Ivanauskas, Maria Gazouli, Ferenc Izbéki, Federico Canzian, Oliver Strobel, Ofure Obazee, Martin Lovecek, Timothy J. Key, Domenica Gioffreda, Pavel Soucek, Ugo Boggi, Krzysztof Jamroziak, Cosimo Sperti, Maarten F. Bijlsma, Yogesh K. Vashist, Andrea Szentesi, Hermann Brenner, Livia Archibugi, Giuseppe Vanella, Daniela Basso |
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| Přispěvatelé: | Radiotherapy, Center of Experimental and Molecular Medicine, CCA - Cancer Treatment and Quality of Life, Oncology, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Galeotti, A. A., Gentiluomo, M., Rizzato, C., Obazee, O., Neoptolemos, J. P., Pasquali, C., Nentwich, M., Cavestro, G. M., Pezzilli, R., Greenhalf, W., Holleczek, B., Schroeder, C., Schottker, B., Ivanauskas, A., Ginocchi, L., Key, T. J., Hegyi, P., Archibugi, L., Darvasi, E., Basso, D., Sperti, C., Bijlsma, M. F., Palmieri, O., Hlavac, V., Talar-Wojnarowska, R., Mohelnikova-Duchonova, B., Hackert, T., Vashist, Y., Strouhal, O., Van Laarhoven, H., Tavano, F., Lovecek, M., Dervenis, C., Izbeki, F., Padoan, A., Malecka-Panas, E., Maiello, E., Vanella, G., Capurso, G., Izbicki, J. R., Theodoropoulos, G. E., Jamroziak, K., Katzke, V., Kaaks, R., Mambrini, A., Papanikolaou, I. S., Szmola, R., Szentesi, A., Kupcinskas, J., Bursi, S., Costello, E., Boggi, U., Milanetto, A. C., Landi, S., Gazouli, M., Vodickova, L., Soucek, P., Gioffreda, D., Gemignani, F., Brenner, H., Strobel, O., Buchler, M., Vodicka, P., Paiella, S., Canzian, F., Campa, D. |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Oncology Male medicine.medical_specialty Multifactorial Inheritance Pancreatic disease genetic epidemiology Population Single-nucleotide polymorphism Disease pancreas and biliary tract Polymorphism Single Nucleotide Risk Assessment ABO Blood-Group System 03 medical and health sciences 0302 clinical medicine Gene Frequency Pancreatic cancer Internal medicine Genetics medicine oncology Humans education Genetics (clinical) Alleles Early Detection of Cancer Genetic association education.field_of_study business.industry medicine.disease Pancreatic Neoplasms 030104 developmental biology Genetic epidemiology 030220 oncology & carcinogenesis Cohort Female business Carcinoma Pancreatic Ductal |
| Zdroj: | Journal of medical genetics, 58(6), 369-377. BMJ Publishing Group JOURNAL OF MEDICAL GENETICS |
| ISSN: | 0022-2593 |
| Popis: | BackgroundMost cases of pancreatic ductal adenocarcinoma (PDAC) are asymptomatic in early stages, and the disease is typically diagnosed in advanced phases, resulting in very high mortality. Tools to identify individuals at high risk of developing PDAC would be useful to improve chances of early detection.ObjectiveWe generated a polygenic risk score (PRS) for PDAC risk prediction, combining the effect of known risk SNPs, and carried out an exploratory analysis of a multifactorial score.MethodsWe tested the associations of the individual known risk SNPs on up to 2851 PDAC cases and 4810 controls of European origin from the PANcreatic Disease ReseArch (PANDoRA) consortium. Thirty risk SNPs were included in a PRS, which was computed on the subset of subjects that had 100% call rate, consisting of 839 cases and 2040 controls in PANDoRA and 6420 cases and 4889 controls from the previously published Pancreatic Cancer Cohort Consortium I–III and Pancreatic Cancer Case-Control Consortium genome-wide association studies. Additional exploratory multifactorial scores were constructed by complementing the genetic score with smoking and diabetes.ResultsThe scores were associated with increased PDAC risk and reached high statistical significance (OR=2.70, 95% CI 1.99 to 3.68, p=2.54×10−10 highest vs lowest quintile of the weighted PRS, and OR=14.37, 95% CI 5.57 to 37.09, p=3.64×10−8, highest vs lowest quintile of the weighted multifactorial score).ConclusionWe found a highly significant association between a PRS and PDAC risk, which explains more than individual SNPs and is a step forward in the direction of the construction of a tool for risk stratification in the population. |
| Databáze: | OpenAIRE |
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