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 ...