• A meta-analysis of Hodgkin lymphoma reveals 19p13.3 TCF3 as a novel susceptibility locus 

      Cozen, W; Timofeeva, MN; Li, D; Diepstra, A; Hazelett, D; Delahaye-Sourdeix, Manon; Edlund, C; Franke, L; rostgaard, k; Van Den Berg, D; Cortessis, Victoria K.; Smedby, KE; Glaser, S; Westra, H-J; Robison, L; Mack, T; Hwang, A; Nieters, A; de Sanjose, S; Lightfoot, T; Becker, N; Maynadie, M; Foretova, L; Roman, E; Benavente, Y; Rand, KA; Nathwani, Bharat; Glimelius, B; Staines, A; Boffetta, P; Link, B; Kiemeney, L; Ansell, S; Bhatia, Sonal; Strong, L; Galan, P; Vatten, Lars Johan; Habermann, T; Duell, E J; Lake, A; Veenstra, René; Visser, L; Liu, Y; Urayama, KY; Montgomery, D; Gaborieau, V; Weiss, L; Byrnes, G; Lathrop, M; Cocco, P; Best, Thomas M.; Skol, A; Adami, H-O; Melbye, M; Cerhan, JR; Gallagher, Alison M.; Taylor, G; Slager, S; Coetzee, GA; Brennan, P; Conti, David; Onel, K; Hjalgrim, H; Jarrett, RF; Van Den Berg, A; McKay, JD (Journal article; Peer reviewed, 2014)
      Recent genome-wide association studies (GWAS) of Hodgkin lymphoma (HL) have identified associations with genetic variation at both HLA and non-HLA loci; however, much of heritable HL susceptibility remains unexplained. ...
    • Using Prior Information from the Medical Literature in GWAS of Oral Cancer Identifies Novel Susceptibility Variant on Chromosome 4-the AdAPT Method 

      Johansson, Mattias; Roberts, Angus; Chen, Dan; Li, Yaoyong; Delahaye-Sourdeix, Manon; Aswani, Niraj; Greenwood, Mark A; Benhamou, Simone; Lagiou, Pagona; Holcatova, Ivana; Richiardi, Lorenzo; Kjærheim, Kristina; Agudo, Antonio; Castellsague, Xavier; Macfarlane, Tatiana V.; Barzan, Luigi; Canova, Cristina; Thakker, NS; Conway, David I.; Znaor, Ariana; Healy, Claire M.; Ahrens, Wolfgang; Zaridze, David; Szeszenia-Dabrowska, N; Lissowska, Jolanta; Fabianova, E; Mates, Ioan Nicolae; Bencko, Vladimir; Foretova, L; Janout, V; Curado, MP; Koifman, S; Menezes, A; Wunsch, V; Eluf-Neto, J; Boffetta, P; Franceschi, S; Herrero, R; Garrote, LF; Talamini, R; Boccia, S; Galan, P; Vatten, Lars Johan; Thomson, P; Zelenika, D; Lathrop, M; Byrnes, G; Cunningham, H; Brennan, P; Wakefield, J; Mckay, JD (Journal article; Peer reviewed, 2012)
      Background: Genome-wide association studies (GWAS) require large sample sizes to obtain adequate statistical power, but it may be possible to increase the power by incorporating complementary data. In this study we ...