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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Detalhes bibliográficos
Publicado no:Int J Cancer
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2017
Assuntos:
Cancer Genetics and Epigenetics
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5601244/
https://ncbi.nlm.nih.gov/pubmed/28670784
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/ijc.30859
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