0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Join our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessPleiotropic variants (i.e. genetic polymorphisms influencing more than one phenotype) are often associated with cancer risk. A scan of pleiotropic variants was successfully conducted 10 years ago in relation to pancreatic ductal adenocarcinoma susceptibility. However, in the last decade, genetic association studies performed on several human traits have greatly increased the number of known pleiotropic variants. Based on the hypothesis that variants already associated with a least one trait have a higher probability of association with other traits, 61 052 variants reported to be associated by at least one genome-wide association study with at least one human trait were tested in the present study consisting of two phases (discovery and validation), comprising a total of 16 055 pancreatic ductal adenocarcinoma (PDAC) cases and 212 149 controls. The meta-analysis of the two phases showed two loci (10q21.1-rs4948550 (P = 6.52 × 10-5) and 7q36.3-rs288762 (P = 3.03 × 10-5) potentially associated with PDAC risk. 10q21.1-rs4948550 shows a high degree of pleiotropy and it is also associated with colorectal cancer risk while 7q36.3-rs288762 is situated 28,558 base pairs upstream of the Sonic Hedgehog (SHH) gene, which is involved in the cell-differentiation process and PDAC etiopathogenesis. In conclusion, none of the single nucleotide polymorphisms (SNPs) showed a formally statistically significant association after correction for multiple testing. However, given their pleiotropic nature and association with various human traits including colorectal cancer, the two SNPs showing the best associations with PDAC risk merit further investigation through fine mapping and ad hoc functional studies.
Matteo Giaccherini, Mariaconcetta Rende, Manuel Gentiluomo, Chiara Corradi, Lívia Archibugi, Stefano Ermini, Evaristo Maiello, Luca Morelli, Casper H.J. van Eijck, Giulia Martina Cavestro, Marton Schneider, Antanas Mickevičius, Kęstutis Adamonis, Daniela Basso, Viktor Hlaváč, Domenica Gioffreda, Renata Talar‐Wojnarowska, Ben Schöttker, Martin Loveček, Giuseppe Vanella, Maria Gazouli, Miyuki Uno, Ewa Małecka‐Panas, Pavel Vodička, Mara Göetz, M. Bijlsma, Maria Chiara Petrone, Francesca Bazzocchi, Mindaugas Kiudelis, Andrea Szentesi, Silvia Carrara, Gennaro Nappo, Hermann Brenner, Anna Caterina Milanetto, Pavel Souček, Verena Katzke, Giulia Peduzzi, Cosmeri Rizzato, Claudio Pasquali, Xuechen Chen, Gabriele Capurso, Thilo Hackert, Bas Bueno‐de‐Mesquita, Faik G. Uzunoglu, Péter Hegyi, William Greenhalf, George Theodoropoulos, Cosimo Sperti, Francesco Perri, Martin Oliverius, Andrea Mambrini, Francesca Tavano, Riccardo Farinella, Paolo Giorgio Arcidiacono, M Lucchesi, Ștefania Bunduc, Juozas Kupčinskas, Gregorio Di Franco, Hannah Stocker, John P. Neoptolemos, Franco Bambi, Krzysztof Jamroziak, Sabrina Gloria Giulia Testoni, Mateus Nóbrega Aoki, Beatrice Mohelníková-Duchoňová, Jacob R. Izbicki, Raffaele Pezzilli, Rita T. Lawlor, Emanuele F. Kauffmann, Evangelina López de Maturana, Núria Malats, Federico Canzian, Daniele Campa (2024). A pleiotropy scan to discover new susceptibility loci for pancreatic ductal adenocarcinoma. , 40(1), DOI: https://doi.org/10.1093/mutage/geae012.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2024
Authors
73
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1093/mutage/geae012
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free AccessYes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration