• Influence of common genetic variation on lung cancer risk: meta-analysis of 14 900 cases and 29 485 controls 

      Timofeeva, M N; Hung, R J; Rafnar, T; Christiani, D C; Field, J K; Bickeboller, H; Risch, A; McKay, J D; Wang, Y; Dai, J; Gaborieau, V; McLaughlin, J; Brenner, D; Narod, S A; Caporaso, NE.; Albanes, D; Thun, M; Eisen, T; Wichmann, H E; Rosenberger, A; Han, Y; Chen, W; Zhu, D; Spitz, M; Wu, X; Pande, M; Zhao, Y; Zaridze, D; Szeszenia-Dabrowska, N; Lissowska, J; Rudnai, P; Fabianova, E; Mates, D; Bencko, V; Foretova, L; Janout, V; Krokan, Hans Einar; Gabrielsen, Maiken Elvestad; Skorpen, Frank; Vatten, Lars Johan; Njølstad, Inger; Chen, C; Goodman, G; Lathrop, M; Benhamou, S; Vooder, T; Valk, K; Nelis, M; Metspalu, Andres; Raji, O; Chen, Y; Gosney, J; Liloglou, T; Muley, T; Dienemann, H; Thorleifsson, G; Shen, H.; Stefansson, Kari; Brennan, Paul; Amos, C I; Houlston, Richard; Landi, M T (Journal article; Peer reviewed, 2012)
    • 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 ...