A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer
López de Maturana E, Rodríguez JA, Alonso L, Lao O, Molina-Montes E, Martín-Antoniano IA, Gómez-Rubio P, Lawlor R, Carrato A, Hidalgo M, Iglesias M, Molero X, Löhr M, Michalski C, Perea J, O’Rorke M, Barberà VM, Tardón A, Farré A, Muñoz-Bellvís L, Crnogorac-Jurcevic T, Domínguez-Muñoz E, Gress T, Greenhalf W, Sharp L, Arnes L, Cecchini L, Balsells J, Costello E, Ilzarbe L, Kleeff J, Kong B, Márquez M, Mora J, O’Driscoll D, Scarpa A, Ye W, Yu J, García-Closas M, Kogevinas M, Rothman N, Silverman D, Albanes D, Arslan A, Beane-Freeman L, Bracci P, Brennan P, Bueno-de-Mesquita B, Buring J, Canzian F, Du M, Gallinger S, Gaziano J, Goodman P, Gunter M, LeMarchand L, Li D, Neale R, Peters U, Petersen G, Risch H, Sánchez M, Shu X, Thornquist M, Visvanathan K, Zheng W, Chanock S, Easton D, Wolpin B, Stolzenberg-Solomon R, Klein A, Amundadottir L, Marti-Renom M, Real F, Malats N. A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer. Genome Medicine 2021, 13: 15. PMID: 33517887, PMCID: PMC7849104, DOI: 10.1186/s13073-020-00816-4.Peer-Reviewed Original ResearchConceptsSilico functional analysisFunctional analysisPublic genomic informationUnfolded protein responseMeta-analysis p-valueLow-frequency variantsPc locusGWAS hitsGenomic informationPhenotypic varianceProtein responseSpatial autocorrelation analysisER stressMajor regulatorFrequency variantsPancreatic acinar cellsGenetic susceptibilityCandidate variantsFactor interplayComplex diseasesIndependent variantsGWASInherited basisLow p-valuesAcinar cells
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