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

Author:

Ünal Pelin,Lu Ye,Bueno-de-Mesquita Bas,van Eijck Casper H. J.,Talar-Wojnarowska Renata,Szentesi Andrea,Gazouli Maria,Kreivenaite Edita,Tavano Francesca,Małecka-Wojciesko Ewa,Erőss Bálint,Oliverius Martin,Bunduc Stefania,Nóbrega Aoki Mateus,Vodickova Ludmila,Boggi Ugo,Giaccherini Matteo,Kondrackiene Jurate,Chammas Roger,Palmieri Orazio,Theodoropoulos George E.,Bijlsma Maarten F.,Basso Daniela,Mohelnikova-Duchonova Beatrice,Soucek Pavel,Izbicki Jakob R.,Kiudelis Vytautas,Vanella Giuseppe,Arcidiacono Paolo Giorgio,Włodarczyk Barbara,Hackert Thilo,Schöttker Ben,Uzunoglu Faik G.,Bambi Franco,Goetz Mara,Hlavac Viktor,Brenner Hermann,Perri Francesco,Carrara Silvia,Landi Stefano,Hegyi Péter,Dijk Frederike,Maiello Evaristo,Capretti Giovanni,Testoni Sabrina Gloria Giulia,Petrone Maria Chiara,Stocker Hannah,Ermini Stefano,Archibugi Livia,Gentiluomo Manuel,Cavestro Giulia Martina,Pezzilli Raffaele,Di Franco Gregorio,Milanetto Anna Caterina,Sperti Cosimo,Neoptolemos John P.,Morelli Luca,Vokacova Klara,Pasquali Claudio,Lawlor Rita T.,Bazzocchi Francesca,Kupcinskas Juozas,Capurso Gabriele,Campa Daniele,Canzian Federico

Abstract

AbstractGenome-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 × 10−8), rs17358295(G) (enhancer variant, OR 1.16, 95%CI 1.10,1.22, p = 6.1 × 10−7), rs2232079(T) (TFBS variant, OR 0.88, 95%CI 0.83,0.93, p = 6.4 × 10−6) and rs10025845(A) (TFBS variant, OR 1.88, 95%CI 1.50,1.12, p = 1.32 × 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.

Publisher

Springer Science and Business Media LLC

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