% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Kapoor:147186, author = {P. M. Kapoor$^*$ and S. Lindström and S. Behrens$^*$ and X. Wang and K. Michailidou and M. K. Bolla and Q. Wang and J. Dennis and A. M. Dunning and P. D. P. Pharoah and M. K. Schmidt and P. Kraft and M. García-Closas and D. F. Easton and R. L. Milne and J. Chang-Claude$^*$ and T. Ahearn and I. L. Andrulis and H. Anton-Culver and V. Arndt$^*$ and K. J. Aronson and P. L. Auer and A. Augustinsson and L. E. B. Freeman and M. W. Beckmann and J. Benitez and L. Bernstein and T. Berrandou and S. E. Bojesen and H. Brauch and H. Brenner$^*$ and I. W. Brock and A. Broeks and A. Brooks-Wilson and K. Butterbach and Q. Cai and D. Campa and F. Canzian$^*$ and B. D. Carter and J. E. Castelao and S. J. Chanock and G. Chenevix-Trench and T. D. Cheng and C. L. Clarke and E. Cordina-Duverger and F. J. Couch and A. Cox and S. S. Cross and K. Czene and J. Y. Dai and G. S. Dite and H. S. Earp and A. H. Eliassen and M. Eriksson and D. G. Evans and P. A. Fasching and J. Figueroa and H. Flyger and L. Fritschi and M. Gabrielson and M. Gago-Dominguez and S. M. Gapstur and M. M. Gaudet and G. G. Giles and A. González-Neira and A. Grundy and P. Guénel and L. Haeberle and C. A. Haiman and N. Håkansson and P. Hall and U. Hamann$^*$ and S. E. Hankinson and E. F. Harkness and T. Harstad and W. He and J. Heyworth and R. N. Hoover and J. L. Hopper and K. Humphreys and D. J. Hunter and P. I. Marrón and E. M. John and M. E. Jones and A. Jung$^*$ and R. Kaaks$^*$ and R. Keeman and C. M. Kitahara and Y.-D. Ko and S. Koutros and U. Krüger and D. Lambrechts and L. L. Marchand and E. Lee and F. Lejbkowicz and M. Linet and J. Lissowska and A. Llaneza and W.-Y. Lo and E. Makalic and M. E. Martinez and T. Maurer and V. M. Muñoz-Garzon and S. L. Neuhausen and P. Neven and W. G. Newman and S. F. Nielsen and B. G. Nordestgaard and A. Norman and K. M. O'Brien and A. F. Olshan and J. E. Olson and H. Olsson and N. Orr and C. M. Perou and M. Pinchev and R. Prentice and G. Rennert and H. S. Rennert and K. J. Ruddy and D. P. Sandler and M. O. Schneider and M. J. Schoemaker and B. Schöttker$^*$ and R. J. Scott and C. Scott and M. E. Sherman and M. J. Shrubsole and X.-O. Shu and M. C. Southey and J. J. Spinelli and J. Stone and A. J. Swerdlow and R. M. Tamimi and J. A. Taylor and K. Thöne and M. A. Troester and T. Truong and C. M. Vachon and C. van Ongeval and E. M. van Veen and P. Wagner and C. R. Weinberg and H. Wildiers and W. Willett and S. J. Winham and A. Wolk and X. R. Yang and W. Zheng and A. Ziogas}, collaboration = {B. C. A. Consortium}, title = {{A}ssessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the {B}reast {C}ancer {A}ssociation {C}onsortium.}, journal = {International journal of epidemiology}, volume = {49}, number = {1}, issn = {1464-3685}, address = {Oxford}, publisher = {Oxford Univ. Press}, reportid = {DKFZ-2019-02322}, pages = {216-232}, year = {2020}, note = {2020 Feb 1;49(1):216-232#EA:C020#}, abstract = {Previous gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions.Analyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions.Noteworthy evidence of interaction at $≤1\%$ prior probability was observed for three single nucleotide polymorphism (SNP)-risk factor pairs. SNP rs4442975 was associated with a greater reduction of risk of ER-positive breast cancer [odds ratio (OR)int = 0.85 (0.78-0.93), Pint = 2.8 x 10-4] and overall breast cancer [ORint = 0.85 (0.78-0.92), Pint = 7.4 x 10-5) in current users of estrogen-progesterone therapy compared with non-users. This finding was supported by replication using OncoArray data of the previously reported interaction between rs13387042 (r2 = 0.93 with rs4442975) and current estrogen-progesterone therapy for overall disease (Pint = 0.004). The two other interactions suggested stronger associations between SNP rs6596100 and ER-negative breast cancer with increasing parity and younger age at first birth.Overall, our study does not suggest strong effect modification of common breast cancer susceptibility variants by established risk factors.}, cin = {C020 / C070 / C120 / C055 / B072 / HD01}, ddc = {610}, cid = {I:(DE-He78)C020-20160331 / I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 / I:(DE-He78)C055-20160331 / I:(DE-He78)B072-20160331 / I:(DE-He78)HD01-20160331}, pnm = {313 - Cancer risk factors and prevention (POF3-313)}, pid = {G:(DE-HGF)POF3-313}, typ = {PUB:(DE-HGF)16}, pubmed = {pmid:31605532}, doi = {10.1093/ije/dyz193}, url = {https://inrepo02.dkfz.de/record/147186}, }