LU, Y., M. GENTILUOMO, A. MACAUDA, D. GIOFFREDA, M. GAZOULI, M. C. PETRONE, D. KELEMEN, L. GINOCCHI, L. MORELLI, K. PAPIRIS, W. GREENHALF, J. R. IZBICKI, V. KIUDELIS, Beatrice MOHELNIKOVA-DUCHONOVA, B. BUENO-DE-MESQUITA, Pavel VODICKA, H. BRENNER, M. K. DIENER, R. PEZZILLI, A. IVANAUSKAS, R. SALVIA, A. SZENTESI, M. N. AOKI, B. C. NEMETH, C. SPERTI, K. JAMROZIAK, R. CHAMMAS, M. OLIVERIUS, L. ARCHIBUGI, S. ERMINI, J. NOVAK, J. KUPCINSKAS, Ondrej STROUHAL, Pavel SOUCEK, G. M. CAVESTRO, A. C. MILANETTO, G. VANELLA, J. P. NEOPTOLEMOS, G. E. THEODOROPOULOS, H. W. M. VAN LAARHOVEN, A. MAMBRINI, S. MOZ, Zdeněk KALA, Martin LOVECEK, D. BASSO, F. G. UZUNOGLU, T. HACKERT, S. G. G. TESTONI, Viktor HLAVAC, A. ANDRIULLI, M. LUCCHESI, F. TAVANO, S. CARRARA, P. HEGYI, P. G. ARCIDIACONO, O. R. BUSCH, R. T. LAWLOR, M. PUZZONO, U. BOGGI, F. GUO, E. MALECKA-PANAS, G. CAPURSO, S. LANDI, R. TALAR-WOJNAROWSKA, O. STROBEL, X. GAO, Y. VASHIST, D. CAMPA and F. CANZIAN. Identification of Recessively Inherited Genetic Variants Potentially Linked to Pancreatic Cancer Risk. Frontiers in Oncology. Lausanne: Frontiers Media S.A., vol. 11, December 2021, p. 1-10. ISSN 2234-943X. doi:10.3389/fonc.2021.771312. 2021.
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Basic information
Original name Identification of Recessively Inherited Genetic Variants Potentially Linked to Pancreatic Cancer Risk
Authors LU, Y., M. GENTILUOMO, A. MACAUDA, D. GIOFFREDA, M. GAZOULI, M. C. PETRONE, D. KELEMEN, L. GINOCCHI, L. MORELLI, K. PAPIRIS, W. GREENHALF, J. R. IZBICKI, V. KIUDELIS, Beatrice MOHELNIKOVA-DUCHONOVA (203 Czech Republic), B. BUENO-DE-MESQUITA, Pavel VODICKA (203 Czech Republic), H. BRENNER, M. K. DIENER, R. PEZZILLI, A. IVANAUSKAS, R. SALVIA, A. SZENTESI, M. N. AOKI, B. C. NEMETH, C. SPERTI, K. JAMROZIAK, R. CHAMMAS, M. OLIVERIUS, L. ARCHIBUGI, S. ERMINI, J. NOVAK, J. KUPCINSKAS, Ondrej STROUHAL (203 Czech Republic), Pavel SOUCEK (203 Czech Republic), G. M. CAVESTRO, A. C. MILANETTO, G. VANELLA, J. P. NEOPTOLEMOS, G. E. THEODOROPOULOS, H. W. M. VAN LAARHOVEN, A. MAMBRINI, S. MOZ, Zdeněk KALA (203 Czech Republic, belonging to the institution), Martin LOVECEK (203 Czech Republic), D. BASSO, F. G. UZUNOGLU, T. HACKERT, S. G. G. TESTONI, Viktor HLAVAC (203 Czech Republic), A. ANDRIULLI, M. LUCCHESI, F. TAVANO, S. CARRARA, P. HEGYI, P. G. ARCIDIACONO, O. R. BUSCH, R. T. LAWLOR, M. PUZZONO, U. BOGGI, F. GUO, E. MALECKA-PANAS, G. CAPURSO, S. LANDI, R. TALAR-WOJNAROWSKA, O. STROBEL, X. GAO, Y. VASHIST, D. CAMPA and F. CANZIAN (guarantor).
Edition Frontiers in Oncology, Lausanne, Frontiers Media S.A. 2021, 2234-943X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30204 Oncology
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 5.738
RIV identification code RIV/00216224:14110/21:00124364
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.3389/fonc.2021.771312
UT WoS 000761072100001
Keywords in English pancreatic cancer; susceptibility; genome-wide association study; recessive model; genetic polymorphisms
Tags 14110223, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 7/3/2022 14:24.
Abstract
Although 21 pancreatic cancer susceptibility loci have been identified in individuals of European ancestry through genome-wide association studies (GWASs), much of the heritability of pancreatic cancer risk remains unidentified. A recessive genetic model could be a powerful tool for identifying additional risk variants. To discover recessively inherited pancreatic cancer risk loci, we performed a re-analysis of the largest pancreatic cancer GWAS, the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4), including 8,769 cases and 7,055 controls of European ancestry. Six single nucleotide polymorphisms (SNPs) showed associations with pancreatic cancer risk according to a recessive model of inheritance. We replicated these variants in 3,212 cases and 3,470 controls collected from the PANcreatic Disease ReseArch (PANDoRA) consortium. The results of the meta-analyses confirmed that rs4626538 (7q32.2), rs7008921 (8p23.2) and rs147904962 (17q21.31) showed specific recessive effects (p<10(-5)) compared with the additive effects (p>10(-3)), although none of the six SNPs reached the conventional threshold for genome-wide significance (p < 5x10(-8)). Additional bioinformatic analysis explored the functional annotations of the SNPs and indicated a possible relationship between rs36018702 and expression of the BCL2L11 and BUB1 genes, which are known to be involved in pancreatic biology. Our findings, while not conclusive, indicate the importance of considering non-additive genetic models when performing GWAS analysis. The SNPs associated with pancreatic cancer in this study could be used for further meta-analysis for recessive association of SNPs and pancreatic cancer risk and might be a useful addiction to improve the performance of polygenic risk scores.
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