Post-G WAS gene-environment interplay in breast cancer: results from the Breast and Prostate Cancer Cohort Consortium and a meta-analysis on 79 000 women

被引:39
作者
Barrdahl, Myrto [1 ]
Canzian, Federico [2 ]
Joshi, Amit D. [3 ]
Travis, Ruth C. [4 ]
Chang-Claude, Jenny [1 ]
Auer, Paul L. [5 ,6 ]
Gapstur, Susan M. [7 ]
Gaudet, Mia [7 ]
Diver, W. Ryan [7 ]
Henderson, Brian E. [8 ]
Haiman, Christopher A. [8 ]
Schumacher, Fredrick R. [8 ]
Le Marchand, Loic [9 ]
Berg, Christine D. [10 ]
Chanock, Stephen J. [10 ]
Hoover, Robert N. [10 ]
Rudolph, Anja [1 ]
Ziegler, Regina G. [10 ]
Giles, Graham G. [11 ,12 ,13 ]
Baglietto, Laura [11 ,12 ]
Severi, Gianluca [11 ,12 ]
Hankinson, Susan E. [3 ,14 ,15 ,16 ]
Lindstroem, Sara [3 ]
Willet, Walter [3 ]
Hunter, David J. [3 ]
Buring, Julie E. [3 ]
Lee, I-Min [3 ]
Zhang, Shumin [3 ]
Dossus, Laure [17 ,18 ]
Cox, David G. [19 ,20 ,21 ,22 ,23 ]
Khaw, Kay-Tee [24 ]
Lund, Eiliv [25 ]
Naccarati, Alessio [26 ]
Peeters, Petra H. [19 ,27 ]
Ramon Quiros, J. [28 ]
Riboli, Elio [19 ]
Sund, Malin [29 ]
Trichopoulos, Dimitrios [3 ,30 ,31 ]
Prentice, Ross L. [5 ]
Kraft, Peter [3 ]
Kaaks, Rudolf [1 ]
Campa, Daniele [1 ]
机构
[1] German Canc Res Ctr, Div Canc Epidemiol, D-69120 Heidelberg, Germany
[2] German Canc Res Ctr, Genom Epidemiol Grp, D-69120 Heidelberg, Germany
[3] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[4] Univ Oxford, Canc Epidemiol Unit, Oxford OX3 7LF, England
[5] Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, Seattle, WA 98109 USA
[6] Univ Wisconsin, Sch Publ Hlth, Milwaukee, WI USA
[7] Amer Canc Soc, Dept Epidemiol, Atlanta, GA 30303 USA
[8] Univ So Calif, Keck Sch Med, Dept Prevent Med, Los Angeles, CA 90033 USA
[9] Univ Hawaii, Ctr Canc, Honolulu, HI 96813 USA
[10] NCI, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA
[11] Canc Council Victoria, Canc Epidemiol Ctr Melbourne, Carlton, Vic 3004, Australia
[12] Univ Melbourne, Ctr Mol Environm Genet & Analyt Epidemiol, Sch Populat Hlth, Melbourne, Vic 3010, Australia
[13] Monash Univ, Fac Med, Melbourne, Vic 3800, Australia
[14] Brigham & Womens Hosp, Channing Div Network Med, Boston, MA 02115 USA
[15] Harvard Univ, Sch Med, Boston, MA 02115 USA
[16] Univ Massachusetts, Div Biostat & Epidemiol, Amherst, MA 01003 USA
[17] Inst Gustave Roussy, INSERM, Ctr Res Epidemiol & Populat Hlth, F-94805 Villejuif, France
[18] Paris South Univ, F-94807 Villejuif, France
[19] Univ London Imperial Coll Sci Technol & Med, Sch Publ Hlth, London SW7 2AZ, England
[20] Univ Lyon 1, ISPB, F-69007 Lyon, France
[21] Ctr Rech Cancerol Lyon, INSERM, U1052, F-69008 Lyon, France
[22] Ctr Rech Cancerol Lyon, CNRS, UMR5286, F-69008 Lyon, France
[23] Ctr Leon Berard, F-69008 Lyon, France
[24] Univ Cambridge, Dept Publ Hlth & Primary Care, Sch Clin Med, Cambridge CB2 0SP, England
[25] Univ Tromso, Inst Community Med, N-9037 Tromso, Norway
[26] Human Genet Fdn Torino, Mol & Genet Epidemiol Unit, I-10126 Turin, Italy
[27] Univ Med Ctr, Dept Epidemiol, Julius Ctr Hlth Sci & Primary Care, NL-3584 CS Utrecht, Netherlands
[28] Publ Hlth Directorate, Asturias, Spain
[29] Umea Univ, Dept Surg & Perioperat Sci, S-90185 Umea, Sweden
[30] Acad Athens, Bur Epidemiol Res, Athens 10679, Greece
[31] Hellen Hlth Fdn, Athens 11527, Greece
基金
美国国家卫生研究院;
关键词
GENOME-WIDE ASSOCIATION; LOW-PENETRANCE BREAST; SUSCEPTIBILITY LOCI; COMMON VARIANTS; CONFER SUSCEPTIBILITY; LEAD-EXPOSURE; RISK VARIANT; IDENTIFIES; ALLELES; BRCA1;
D O I
10.1093/hmg/ddu223
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
We studied the interplay between 39 breast cancer (BC) risk SNPs and established BC risk (body mass index, height, age at menarche, parity, age at menopause, smoking, alcohol and family history of BC) and prognostic factors (TNM stage, tumor grade, tumor size, age at diagnosis, estrogen receptor status and progesterone receptor status) as joint determinants of BC risk. We used a nested case-control design within the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium (BPC3), with 16 285 BC cases and 19 376 controls. We performed stratified analyses for both the risk and prognostic factors, testing for heterogeneity for the risk factors, and case-case comparisons for differential associations of polymorphisms by subgroups of the prognostic factors. We analyzed multiplicative interactions between the SNPs and the risk factors. Finally, we also performed a meta-analysis of the interaction ORs from BPC3 and the Breast Cancer Association Consortium. After correction for multiple testing, no significant interaction between the SNPs and the established risk factors in the BPC3 study was found. The meta-analysis showed a suggestive interaction between smoking status and SLC4A7-rs4973768 (P-interaction = 8.84 x 10(-4)) which, although not significant after considering multiple comparison, has a plausible biological explanation. In conclusion, in this study of up to almost 79 000 women we can conclusively exclude any novel major interactions between genome-wide association studies hits and the epidemiologic risk factors taken into consideration, but we propose a suggestive interaction between smoking status and SLC4A7-rs4973768 that if further replicated could help our understanding in the etiology of BC.
引用
收藏
页码:5260 / 5270
页数:11
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