A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry. Breast cancer research : BCR Middha, P., Wang, X., Behrens, S., Bolla, M. K., Wang, Q., Dennis, J., Michailidou, K., Ahearn, T. U., Andrulis, I. L., Anton-Culver, H., Arndt, V., Aronson, K. J., Auer, P. L., Augustinsson, A., Baert, T., Freeman, L. E., Becher, H., Beckmann, M. W., Benitez, J., Bojesen, S. E., Brauch, H., Brenner, H., Brooks-Wilson, A., Campa, D., Canzian, F., Carracedo, A., Castelao, J. E., Chanock, S. J., Chenevix-Trench, G., Cordina-Duverger, E., Couch, F. J., Cox, A., Cross, S. S., Czene, K., Dossus, L., Dugué, P. A., Eliassen, A. H., Eriksson, M., Evans, D. G., Fasching, P. A., Figueroa, J. D., Fletcher, O., Flyger, H., Gabrielson, M., Gago-Dominguez, M., Giles, G. G., González-Neira, A., Grassmann, F., Grundy, A., Guénel, P., Haiman, C. A., Håkansson, N., Hall, P., Hamann, U., Hankinson, S. E., Harkness, E. F., Holleczek, B., Hoppe, R., Hopper, J. L., Houlston, R. S., Howell, A., Hunter, D. J., Ingvar, C., Isaksson, K., Jernström, H., John, E. M., Jones, M. E., Kaaks, R., Keeman, R., Kitahara, C. M., Ko, Y. D., Koutros, S., Kurian, A. W., Lacey, J. V., Lambrechts, D., Larson, N. L., Larsson, S., Le Marchand, L., Lejbkowicz, F., Li, S., Linet, M., Lissowska, J., Martinez, M. E., Maurer, T., Mulligan, A. M., Mulot, C., Murphy, R. A., Newman, W. G., Nielsen, S. F., Nordestgaard, B. G., Norman, A., O'Brien, K. M., Olson, J. E., Patel, A. V., Prentice, R., Rees-Punia, E., Rennert, G., Rhenius, V., Ruddy, K. J., Sandler, D. P., Scott, C. G., Shah, M., Shu, X. O., Smeets, A., Southey, M. C., Stone, J., Tamimi, R. M., Taylor, J. A., Teras, L. R., Tomczyk, K., Troester, M. A., Truong, T., Vachon, C. M., Wang, S. S., Weinberg, C. R., Wildiers, H., Willett, W., Winham, S. J., Wolk, A., Yang, X. R., Zamora, M. P., Zheng, W., Ziogas, A., Dunning, A. M., Pharoah, P. D., García-Closas, M., Schmidt, M. K., Kraft, P., Milne, R. L., Lindström, S., Easton, D. F., Chang-Claude, J. 2023; 25 (1): 93
Abstract
Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of?~?7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER?+) breast cancer.Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER?+?breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs.Assuming a 1?×?10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability?
View details for DOI 10.1186/s13058-023-01691-8
View details for PubMedID 37559094
View details for PubMedCentralID 3488186
