J 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

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.