Article
A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer.
Genome medicine - 1 Feb 2021
López de Maturana Evangelina, Rodríguez Juan Antonio, Alonso Lola, Lao Oscar, Molina-Montes Esther, Martín-Antoniano Isabel Adoración, Gómez-Rubio Paulina, Lawlor Rita, Carrato Alfredo, Hidalgo Manuel, Iglesias Mar, Molero Xavier, Löhr Matthias, Michalski Christopher, Perea José, O'Rorke Michael, Barberà Victor Manuel, Tardón Adonina, Farré Antoni, Muñoz-Bellvís Luís, Crnogorac-Jurcevic Tanja, Domínguez-Muñoz Enrique, Gress Thomas, Greenhalf William, Sharp Linda, Arnes Luís, Cecchini Lluís, Balsells Joaquim, Costello Eithne, Ilzarbe Lucas, Kleeff Jörg, Kong Bo, Márquez Mirari, Mora Josefina, O'Driscoll Damian, Scarpa Aldo, Ye Weimin, Yu Jingru, García-Closas Montserrat, Kogevinas Manolis, Rothman Nathaniel, Silverman Debra T, Albanes Demetrius, Arslan Alan A, Beane-Freeman Laura, Bracci Paige M, Brennan Paul, Bueno-de-Mesquita Bas, Buring Julie, Canzian Federico, Du Margaret, Gallinger Steve, Gaziano J Michael, Goodman Phyllis J, Gunter Marc, LeMarchand Loic, Li Donghui, Neale Rachael E, Peters Ulrika, Petersen Gloria M, Risch Harvey A, Sánchez Maria José, Shu Xiao-Ou, Thornquist Mark D, Visvanathan Kala, Zheng Wei, Chanock Stephen J, Easton Douglas, Wolpin Brian M, Stolzenberg-Solomon Rachael Z, Klein Alison P, Amundadottir Laufey T, Marti-Renom Marc A, Real Francisco X, Malats Núria
Abstract excerpt
BACKGROUND: Pancreatic cancer (PC) is a complex disease in which both non-genetic and genetic factors interplay. To date, 40 GWAS hits have been associated with PC risk in individuals of European descent, explaining 4.1% of the phenotypic variance. METHODS: We complemented a new conventional PC GWAS (1D) with genome spatial autocorrelation analysis (2D) permitting to prioritize low frequency variants not detected...
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