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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Bibliografiske detaljer
Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: John Wiley and Sons Inc. 2017
Fag:
Cancer Genetics and Epigenetics
Online adgang: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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