Genome-wide association study of peripheral blood DNA methylation and conventional mammographic density measures

被引:11
作者
Li, Shuai [1 ,2 ]
Dugue, Pierre-Antoine [1 ,3 ,4 ]
Baglietto, Laura [5 ]
Severi, Gianluca [1 ,3 ,6 ]
Wong, Ee Ming [4 ,7 ]
Nguyen, Tuong L. [1 ]
Stone, Jennifer [8 ,9 ]
English, Dallas R. [1 ,3 ]
Southey, Melissa C. [4 ,7 ]
Giles, Graham G. [1 ,3 ]
Hopper, John L. [1 ,3 ]
Milne, Roger L. [1 ,3 ,4 ]
机构
[1] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Parkville, Vic, Australia
[2] Univ Cambridge, Dept Publ Hlth & Primary Care, Ctr Canc Genet Epidemiol, Cambridge, England
[3] Canc Council Victoria, Canc Epidemiol & Intelligence Div, Melbourne, Vic, Australia
[4] Monash Univ, Monash Hlth, Sch Clin Sci, Precis Med, Clayton, Vic, Australia
[5] Univ Pisa, Dept Clin & Expt Med, Pisa, Italy
[6] Univ Versailles St Quentin En Yvelines, Univ Paris Sud, Univ Paris Saclay,Inst Gustave Roussy, Ctr Rech Epidemiol & Sante Populat,INSERM,U1018, Villejuif, France
[7] Univ Melbourne, Dept Clin Pathol, Genet Epidemiol Lab, Parkville, Vic, Australia
[8] Curtin Univ, Ctr Genet Origins Hlth & Dis, Perth, WA, Australia
[9] Univ Western Australia, Perth, WA, Australia
基金
英国医学研究理事会;
关键词
DNA methylation; epigenetics; mammographic density; breast cancer; BREAST-CANCER RISK; VARIANTS;
D O I
10.1002/ijc.32171
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Age- and body mass index (BMI)-adjusted mammographic density is one of the strongest breast cancer risk factors. DNA methylation is a molecular mechanism that could underlie inter-individual variation in mammographic density. We aimed to investigate the association between breast cancer risk-predicting mammographic density measures and blood DNA methylation. For 436 women from the Australian Mammographic Density Twins and Sisters Study and 591 women from the Melbourne Collaborative Cohort Study, mammographic density (dense area, nondense area and percentage dense area) defined by the conventional brightness threshold was measured using the CUMULUS software, and peripheral blood DNA methylation was measured using the HumanMethylation450 (HM450) BeadChip assay. Associations between DNA methylation at >400,000 sites and mammographic density measures adjusted for age and BMI were assessed within each cohort and pooled using fixed-effect meta-analysis. Associations with methylation at genetic loci known to be associated with mammographic density were also examined. We found no genome-wide significant (p < 10(-7)) association for any mammographic density measure from the meta-analysis, or from the cohort-specific analyses. None of the 299 methylation sites located at genetic loci associated with mammographic density was associated with any mammographic density measure after adjusting for multiple testing (all p > 0.05/299 = 1.7 x 10(-4)). In summary, our study did not find evidence for associations between blood DNA methylation, as measured by the HM450 assay, and conventional mammographic density measures that predict breast cancer risk.
引用
收藏
页码:1768 / 1773
页数:6
相关论文
共 26 条
[1]   Associations of Mammographic Dense and Nondense Areas and Body Mass Index With Risk of Breast Cancer [J].
Baglietto, Laura ;
Krishnan, Kavitha ;
Stone, Jennifer ;
Apicella, Carmel ;
Southey, Melissa C. ;
English, Dallas R. ;
Hopper, John L. ;
Giles, Graham G. .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2014, 179 (04) :475-483
[2]   Mammographic density and the risk and detection of breast cancer [J].
Boyd, Norman F. ;
Guo, Helen ;
Martin, Lisa J. ;
Sun, Limei ;
Stone, Jennifer ;
Fishell, Eve ;
Jong, Roberta A. ;
Hislop, Greg ;
Chiarelli, Anna ;
Minkin, Salomon ;
Yaffe, Martin J. .
NEW ENGLAND JOURNAL OF MEDICINE, 2007, 356 (03) :227-236
[3]   Illustrating bias due to conditioning on a collider [J].
Cole, Stephen R. ;
Platt, Robert W. ;
Schisterman, Enrique F. ;
Chu, Haitao ;
Westreich, Daniel ;
Richardson, David ;
Poole, Charles .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2010, 39 (02) :417-420
[4]   DNA methylation-based biological aging and cancer risk and survival: Pooled analysis of seven prospective studies [J].
Dugue, Pierre-Antoine ;
Bassett, Julie K. ;
Joo, JiHoon E. ;
Jung, Chol-Hee ;
Wong, Ee Ming ;
Moreno-Betancur, Margarita ;
Schmidt, Daniel ;
Makalic, Enes ;
Li, Shuai ;
Severi, Gianluca ;
Hodge, Allison M. ;
Buchanan, Daniel D. ;
English, Dallas R. ;
Hopper, John L. ;
Southey, Melissa C. ;
Giles, Graham G. ;
Milne, Roger L. .
INTERNATIONAL JOURNAL OF CANCER, 2018, 142 (08) :1611-1619
[5]   Reliability of DNA methylation measures from dried blood spots and mononuclear cells using the HumanMethylation450k BeadArray [J].
Dugue, Pierre-Antoine ;
English, Dallas R. ;
MacInnis, Robert J. ;
Jung, Chol-Hee ;
Bassett, Julie K. ;
FitzGerald, Liesel M. ;
Wong, Ee Ming ;
Joo, Jihoon E. ;
Hopper, John L. ;
Southey, Melissa C. ;
Giles, Graham G. ;
Milne, Roger L. .
SCIENTIFIC REPORTS, 2016, 6
[6]   Novel associations between blood DNA methylation and body mass index in middle-aged and older adults [J].
Geurts, Y. M. ;
Dugue, P-A ;
Joo, J. E. ;
Makalic, E. ;
Jung, C-H ;
Guan, W. ;
Nguyen, S. ;
Grove, M. L. ;
Wong, E. M. ;
Hodge, A. M. ;
Bassett, J. K. ;
FitzGerald, L. M. ;
Tsimiklis, H. ;
Baglietto, L. ;
Severi, G. ;
Schmidt, D. F. ;
Buchanan, D. D. ;
MacInnis, R. J. ;
Hopper, J. L. ;
Pankow, J. S. ;
Demerath, E. W. ;
Southey, M. C. ;
Giles, G. G. ;
English, D. R. ;
Milne, R. L. .
INTERNATIONAL JOURNAL OF OBESITY, 2018, 42 (04) :887-896
[7]   Odds per Adjusted Standard Deviation: Comparing Strengths of Associations for Risk Factors Measured on Different Scales and Across Diseases and Populations [J].
Hopper, John L. .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2015, 182 (10) :863-867
[8]   Accounting for cellular heterogeneity is critical in epigenome-wide association studies [J].
Jaffe, Andrew E. ;
Irizarry, Rafael A. .
GENOME BIOLOGY, 2014, 15 (02)
[9]   Adjusting batch effects in microarray expression data using empirical Bayes methods [J].
Johnson, W. Evan ;
Li, Cheng ;
Rabinovic, Ariel .
BIOSTATISTICS, 2007, 8 (01) :118-127
[10]   The use of DNA from archival dried blood spots with the Infinium HumanMethylation450 array [J].
Joo, JiHoon E. ;
Wong, Ee Ming ;
Baglietto, Laura ;
Jung, Chol-Hee ;
Tsimiklis, Helen ;
Park, Daniel J. ;
Wong, Nicholas C. ;
English, Dallas R. ;
Hopper, John L. ;
Severi, Gianluca ;
Giles, Graham G. ;
Southey, Melissa C. .
BMC BIOTECHNOLOGY, 2013, 13