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Polymorphisms in transcription factor binding sites and enhancer regions and pancreatic ductal adenocarcinoma risk

Articolo
Data di Pubblicazione:
2024
Citazione:
Polymorphisms in transcription factor binding sites and enhancer regions and pancreatic ductal adenocarcinoma risk / Unal, P., Lu, Y., Bueno-de-Mesquita, B., van Eijck, C.H.J., Talar-Wojnarowska, R., Szentesi, A., Gazouli, M., Kreivenaite, E., Tavano, F., Malecka-Wojciesko, E., Eross, B., Oliverius, M., Bunduc, S., Nobrega Aoki, M., Vodickova, L., Boggi, U., Giaccherini, M., Kondrackiene, J., Chammas, R., Palmieri, O., et al.. - In: HUMAN GENOMICS. - ISSN 1479-7364. - 18:1(2024). [10.1186/s40246-024-00576-x]
Abstract:
Genome-wide association studies (GWAS) are a powerful tool for detecting variants associated with complex traits and can help risk stratification and prevention strategies against pancreatic ductal adenocarcinoma (PDAC). However, the strict significance threshold commonly used makes it likely that many true risk loci are missed. Functional annotation of GWAS polymorphisms is a proven strategy to identify additional risk loci. We aimed to investigate single-nucleotide polymorphisms (SNP) in regulatory regions [transcription factor binding sites (TFBSs) and enhancers] that could change the expression profile of multiple genes they act upon and thereby modify PDAC risk. We analyzed a total of 12,636 PDAC cases and 43,443 controls from PanScan/PanC4 and the East Asian GWAS (discovery populations), and the PANDoRA consortium (replication population). We identified four associations that reached study-wide statistical significance in the overall meta-analysis: rs2472632(A) (enhancer variant, OR 1.10, 95%CI 1.06,1.13, p = 5.5 x 10-8), rs17358295(G) (enhancer variant, OR 1.16, 95%CI 1.10,1.22, p = 6.1 x 10-7), rs2232079(T) (TFBS variant, OR 0.88, 95%CI 0.83,0.93, p = 6.4 x 10-6) and rs10025845(A) (TFBS variant, OR 1.88, 95%CI 1.50,1.12, p = 1.32 x 10-5). The SNP with the most significant association, rs2472632, is located in an enhancer predicted to target the coiled-coil domain containing 34 oncogene. Our results provide new insights into genetic risk factors for PDAC by a focused analysis of polymorphisms in regulatory regions and demonstrating the usefulness of functional prioritization to identify loci associated with PDAC risk.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Association study; Enhancer; Pancreatic cancer; Single nucleotide polymorphism; Transcription factor binding site
Elenco autori:
Unal, P.; Lu, Y.; Bueno-de-Mesquita, B.; van Eijck, C. H. J.; Talar-Wojnarowska, R.; Szentesi, A.; Gazouli, M.; Kreivenaite, E.; Tavano, F.; Malecka-Wojciesko, E.; Eross, B.; Oliverius, M.; Bunduc, S.; Nobrega Aoki, M.; Vodickova, L.; Boggi, U.; Giaccherini, M.; Kondrackiene, J.; Chammas, R.; Palmieri, O.; Theodoropoulos, G. E.; Bijlsma, M. F.; Basso, D.; Mohelnikova-Duchonova, B.; Soucek, P.; Izbicki, J. R.; Kiudelis, V.; Vanella, G.; Arcidiacono, P. G.; Wlodarczyk, B.; Hackert, T.; Schottker, B.; Uzunoglu, F. G.; Bambi, F.; Goetz, M.; Hlavac, V.; Brenner, H.; Perri, F.; Carrara, S.; Landi, S.; Hegyi, P.; Dijk, F.; Maiello, E.; Capretti, G.; Testoni, S. G. G.; Petrone, M. C.; Stocker, H.; Ermini, S.; Archibugi, L.; Gentiluomo, M.; Cavestro, G. M.; Pezzilli, R.; Di Franco, G.; Milanetto, A. C.; Sperti, C.; Neoptolemos, J. P.; Morelli, L.; Vokacova, K.; Pasquali, C.; Lawlor, R. T.; Bazzocchi, F.; Kupcinskas, J.; Capurso, G.; Campa, D.; Canzian, F.
Autori di Ateneo:
ARCIDIACONO PAOLO GIORGIO
CAPURSO GABRIELE
CAVESTRO GIULIA MARTINA
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/168436
Link al Full Text:
https://iris.unisr.it//retrieve/handle/20.500.11768/168436/242760/s40246-024-00576-x.pdf
Pubblicato in:
HUMAN GENOMICS
Journal
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URL

https://humgenomics.biomedcentral.com/articles/10.1186/s40246-024-00576-x
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