Literature DB >> 30694562

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

Shuai Li1,2, Pierre-Antoine Dugué1,3,4, Laura Baglietto5, Gianluca Severi1,3,6, Ee Ming Wong4,7, Tuong L Nguyen1, Jennifer Stone8, Dallas R English1,3, Melissa C Southey4,7, Graham G Giles1,3, John L Hopper1,3, Roger L Milne1,3,4.   

Abstract

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 × 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.
© 2019 UICC.

Entities:  

Keywords:  DNA methylation; breast cancer; epigenetics; mammographic density

Mesh:

Year:  2019        PMID: 30694562     DOI: 10.1002/ijc.32171

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  6 in total

1.  Pre-diagnostic DNA methylation patterns differ according to mammographic breast density amongst women who subsequently develop breast cancer: a case-only study in the EPIC-Florence cohort.

Authors:  Saverio Caini; Giovanni Fiorito; Domenico Palli; Benedetta Bendinelli; Silvia Polidoro; Valentina Silvestri; Laura Ottini; Daniela Ambrogetti; Ines Zanna; Calogero Saieva; Giovanna Masala
Journal:  Breast Cancer Res Treat       Date:  2021-06-08       Impact factor: 4.872

2.  Genetic Aspects of Mammographic Density Measures Associated with Breast Cancer Risk.

Authors:  Shuai Li; Tuong L Nguyen; Tu Nguyen-Dumont; James G Dowty; Gillian S Dite; Zhoufeng Ye; Ho N Trinh; Christopher F Evans; Maxine Tan; Joohon Sung; Mark A Jenkins; Graham G Giles; John L Hopper; Melissa C Southey
Journal:  Cancers (Basel)       Date:  2022-06-02       Impact factor: 6.575

3.  DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors.

Authors:  Minyuan Chen; Ee Ming Wong; Tuong L Nguyen; Gillian S Dite; Jennifer Stone; Pierre-Antoine Dugué; Graham G Giles; Melissa C Southey; Roger L Milne; John L Hopper; Shuai Li
Journal:  Sci Rep       Date:  2019-10-21       Impact factor: 4.379

4.  Association of mammographic density with blood DNA methylation.

Authors:  Rachel M Lucia; Wei-Lin Huang; Andrea Alvarez; Irene Masunaka; Argyrios Ziogas; Deborah Goodman; Andrew O Odegaard; Trina M Norden-Krichmar; Hannah Lui Park
Journal:  Epigenetics       Date:  2021-06-11       Impact factor: 4.861

5.  Methylation-based markers of aging and lifestyle-related factors and risk of breast cancer: a pooled analysis of four prospective studies.

Authors:  Pierre-Antoine Dugué; Clara Bodelon; Felicia F Chung; Zdenko Herceg; Montserrat Garcia-Closas; James M Flanagan; Melissa C Southey; Hannah R Brewer; Srikant Ambatipudi; Joshua N Sampson; Cyrille Cuenin; Veronique Chajès; Isabelle Romieu; Giovanni Fiorito; Carlotta Sacerdote; Vittorio Krogh; Salvatore Panico; Rosario Tumino; Paolo Vineis; Silvia Polidoro; Laura Baglietto; Dallas English; Gianluca Severi; Graham G Giles; Roger L Milne
Journal:  Breast Cancer Res       Date:  2022-09-06       Impact factor: 8.408

6.  Epigenome-wide DNA methylation and risk of breast cancer: a systematic review.

Authors:  Kaoutar Ennour-Idrissi; Dzevka Dragic; Francine Durocher; Caroline Diorio
Journal:  BMC Cancer       Date:  2020-10-31       Impact factor: 4.430

  6 in total

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