• Association of Selenoprotein and Selenium Pathway Genotypes with Risk of Colorectal Cancer and Interaction with Selenium Status 

      Fedirko, Veronika; Jenab, Mazda; Méplan, Catherine; Jones, Jeb S.; Zhu, Wanzhe; Schomburg, Lutz; Siddiq, Afshan; Hybsier, Sandra; Overvad, Kim; Tjønneland, Anne; Omichessan, Hanane; Perduca, Vittorio; Boutron-Ruault, Marie-Christine; Kühn, Tilman; Katzke, Verena; Aleksandrova, Krasimira; Trichopoulou, Antonia; Karakatsani, Anna; Kotanidou, Anastasia; Tumino, Rosario; Panico, Salvatore; Masala, Giovanna; Agnoli, Claudia; Naccarati, Alessio; Bueno-De-Mesquita, Bas; Vermeulen, Roel C.H.; Weiderpass, Elisabete; Skeie, Guri; Nøst, Therese Haugdahl; Lujan-Barroso, Leila; Quirós, Jose Ramón; Huerta, José María; Rodríguez-Barranco, Miguel; Barricarte, Aurelio; Gylling, Björn; Harlid, Sophia; Bradbury, Kathryn Erica; Wareham, Nick; Khaw, Kay-Tee; Gunter, Marc J.; Murphy, Neil; Freisling, Heinz; Tsilidis, Kostas; Aune, Dagfinn; Riboli, Elio; Hesketh, John E.; Hughes, David J. (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-04-25)
      Selenoprotein genetic variations and suboptimal selenium (Se) levels may contribute to the risk of colorectal cancer (CRC) development. We examined the association between CRC risk and genotype for single nucleotide polymorphisms (SNPs) in selenoprotein and Se metabolic pathway genes. <i>Illumina Goldengate</i> assays were designed and resulted in the genotyping of 1040 variants in 154 genes ...
    • Comparison of prognostic models to predict the occurrence of colorectal cancer in asymptomatic individuals: A systematic literature review and external validation in the EPIC and UK Biobank prospective cohort studies 

      Smith, Todd; Muller, David C.; Moons, Karel G.M.; Cross, Amanda J.; Johansson, Mattias; Ferrari, Pietro; Fagherazzi, Guy; Peeters, Petra H. M.; Severi, Gianluca; Hüsing, Anika; Kaaks, Rudolf; Tjønneland, Anne; Olsen, Anja; Overvad, Kim; Bonet, Catalina; Rodríguez-Barranco, Miguel; Huerta, Jose Maria; Gurrea, Aurelio Barricarte; Bradbury, Kathryn Erica; Trichopoulou, Antonia; Bamia, Christina; Orfanos, Philippos; Palli, Domenico; Pala, Valeria; Vineis, Paolo; Bueno-De-Mesquita, Bas; Ohlsson, Bodil; Harlid, Sophia; Van Guelpen, Bethany; Skeie, Guri; Weiderpass, Elisabete; Jenab, Mazda; Murphy, Neil; Riboli, Eilo; Gunter, Marc J.; Aleksandrova, Krasimira Jekova; Tzoulaki, Ioanna (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-04-03)
      <i>Objective</i> - To systematically identify and validate published colorectal cancer risk prediction models that do not require invasive testing in two large population-based prospective cohorts.<p><p> <i>Design</i> - Models were identified through an update of a published systematic review and validated in the European Prospective Investigation into Cancer and Nutrition (EPIC) and the UK ...