Detailed Information on Publication Record
2021
Identification of Recessively Inherited Genetic Variants Potentially Linked to Pancreatic Cancer Risk
LU, Y., M. GENTILUOMO, A. MACAUDA, D. GIOFFREDA, M. GAZOULI et. al.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
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30204 Oncology
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 5.738
RIV identification code
RIV/00216224:14110/21:00124364
Organization unit
Faculty of Medicine
UT WoS
000761072100001
Keywords in English
pancreatic cancer; susceptibility; genome-wide association study; recessive model; genetic polymorphisms
Tags
International impact, Reviewed
Změněno: 7/3/2022 14:24, Mgr. Tereza Miškechová
Abstract
V originále
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.