Gene–environment interactions involving functional variants: Results from the Breast Cancer Association Consortium

Investigating the most likely causal variants identified by fine‐mapping analyses may improve the power to detect gene–environment interactions. We assessed the interplay between 70 single nucleotide polymorphisms identified by genetic fine‐scale mapping of susceptibility loci and 11 epidemiological...

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Detalles Bibliográficos
Autores principales: Barrdahl, Myrto, Rudolph, Anja, Hopper, John L., Southey, Melissa C., Broeks, Annegien, Fasching, Peter A., Beckmann, Matthias W., Gago‐Dominguez, Manuela, Castelao, J. Esteban, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E., Gapstur, Susan M., Gaudet, Mia M., Brenner, Hermann, Arndt, Volker, Brauch, Hiltrud, Hamann, Ute, Mannermaa, Arto, Lambrechts, Diether, Jongen, Lynn, Flesch‐Janys, Dieter, Thoene, Kathrin, Couch, Fergus J., Giles, Graham G., Simard, Jacques, Goldberg, Mark S., Figueroa, Jonine, Michailidou, Kyriaki, Bolla, Manjeet K., Dennis, Joe, Wang, Qin, Eilber, Ursula, Behrens, Sabine, Czene, Kamila, Hall, Per, Cox, Angela, Cross, Simon, Swerdlow, Anthony, Schoemaker, Minouk J., Dunning, Alison M., Kaaks, Rudolf, Pharoah, Paul D.P., Schmidt, Marjanka, Garcia‐Closas, Montserrat, Easton, Douglas F., Milne, Roger L., Chang‐Claude, Jenny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Cancer Genetics and Epigenetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601244/
https://www.ncbi.nlm.nih.gov/pubmed/28670784
http://dx.doi.org/10.1002/ijc.30859

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