Gene-environment interactions involving functional variants

Autor: Barrdahl, M., Rudolph, A., Hopper, J.L., Southey, M.C., Broeks, A., Fasching, P.A., Beckmann, M.W., Gago-Dominguez, M., Castelao, J.E., Guénel, P., Truong, T., Bojesen, S.E., Gapstur, S.M., Gaudet, M.M., Brenner, H., Arndt, V., Brauch, H., Hamann, U., Mannermaa, A., Lambrechts, D., Jongen, L., Flesch-Janys, D., Thoene, K., Couch, F.J., Giles, G.G., Simard, J., Goldberg, M.S., Figueroa, J., Michailidou, K., Bolla, M.K., Dennis, J., Wang, Q., Eilber, U., Behrens, S., Czene, K., Hall, P., Cox, A., Cross, S., Swerdlow, A., Schoemaker, M.J., Dunning, A.M., Kaaks, R., Pharoah, P.D.P., Schmidt, M., Garcia-Closas, M., Easton, D.F., Milne, R.L., Chang-Claude, J.
Přispěvatelé: Dennis, Joe [0000-0003-4591-1214], Wang, Jean [0000-0002-9139-0627], Dunning, Alison [0000-0001-6651-7166], Pharoah, Paul [0000-0001-8494-732X], Easton, Douglas [0000-0003-2444-3247], Apollo - University of Cambridge Repository
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Barrdahl, M, Rudolph, A, Hopper, J L, Southey, M C, Broeks, A, Fasching, P A, Beckmann, M W, Gago-Dominguez, M, Castelao, J E, Guénel, P, Truong, T, Bojesen, S E, Gapstur, S M, Gaudet, M M, Brenner, H, Arndt, V, Brauch, H, Hamann, U, Mannermaa, A, Lambrechts, D, Jongen, L, Flesch-Janys, D, Thoene, K, Couch, F J, Giles, G G, Simard, J, Goldberg, M S, Figueroa, J, Michailidou, K, Bolla, M K, Dennis, J, Wang, Q, Eilber, U, Behrens, S, Czene, K, Hall, P, Cox, A, Cross, S, Swerdlow, A, Schoemaker, M J, Dunning, A M, Kaaks, R, Pharoah, P D P, Schmidt, M, Garcia-Closas, M, Easton, D F, Milne, R L & Chang-Claude, J 2017, ' Gene-environment interactions involving functional variants : Results from the Breast Cancer Association Consortium ', International Journal of Cancer, vol. 141, no. 9, pp. 1830-1840 . https://doi.org/10.1002/ijc.30859
International Journal of Cancer
Barrdahl, M, Rudolph, A, Hopper, J L, Southey, M C, Broeks, A, Fasching, P A, Beckmann, M W, Gago-dominguez, M, Castelao, J E, Guénel, P, Truong, T, Bojesen, S E, Gapstur, S M, Gaudet, M M, Brenner, H, Arndt, V, Brauch, H, Hamann, U, Mannermaa, A, Lambrechts, D, Jongen, L, Flesch-janys, D, Thoene, K, Couch, F J, Giles, G G, Simard, J, Goldberg, M S, Figueroa, J, Michailidou, K, Bolla, M K, Dennis, J, Wang, Q, Eilber, U, Behrens, S, Czene, K, Hall, P, Cox, A, Cross, S, Swerdlow, A, Schoemaker, M J, Dunning, A M, Kaaks, R, Pharoah, P D P, Schmidt, M, Garcia-closas, M, Easton, D F, Milne, R L & Chang-claude, J 2017, ' Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium ', International Journal of Cancer . https://doi.org/10.1002/ijc.30859
ISSN: 0020-7136
Popis: 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 breast cancer risk factors in relation to breast cancer. Analyses were conducted on up to 58,573 subjects (26,968 cases and 31,605 controls) from the Breast Cancer Association Consortium, in one of the largest studies of its kind. Analyses were carried out separately for estrogen receptor (ER) positive (ER+) and ER negative (ER–) disease. The Bayesian False Discovery Probability (BFDP) was computed to assess the noteworthiness of the results. Four potential gene–environment interactions were identified as noteworthy (BFDP
What's new? Although it is widely acknowledged that genes and environment may interact to cooperatively modify breast cancer risk, no such interaction is known at the single nucleotide polymorphism (SNP) level. Here, the authors assessed the interplay of 70 SNPs with 11 known breast cancer risk factors in estrogen receptor‐positive and ‐negative disease. Weak interactions were found with individual SNPs and current smoking or alcohol consumption but no strong gene–environment interaction was identified. These data do not support the model of strong modification of genetic cancer risk by environmental factors.
Databáze: OpenAIRE
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