Literature DB >> 25002657

Breast cancer susceptibility variants and mammographic density phenotypes in norwegian postmenopausal women.

Merete Ellingjord-Dale1, Tom Grotmol2, Eunjung Lee3, David J Van Den Berg3, Solveig Hofvind2, Elisabeth Couto4, Ulla Sovio5, Isabel Dos-Santos-Silva6, Giske Ursin7.   

Abstract

BACKGROUND: Mammographic density (MD) is one of the strongest known breast cancer risk factors. Twin studies have suggested that a large part of the variation in MD is genetically determined. We hypothesized that breast cancer susceptibility variants may affect MD, and that their effects may be modified by nongenetic factors.
METHODS: We assessed MD, using a computer-assisted method, on 2,348 postmenopausal Caucasian women (50-69 years) who participated in the Norwegian Breast Cancer Screening Program (NBCSP) in 2004 or 2006-07. We used linear regression (additive models) to determine the association between each SNP and MD, adjusting for age, body mass index (BMI), and study. We evaluated MD associations with 17 established breast cancer SNPs, overall, and by strata defined by non-genetic factors.
RESULTS: Two variants, 6q25.1-rs9383938 and TXNRD2-rs8141691, were statistically significantly associated with percent MD (P = 0.019 and 0.03, respectively), with the 6q25.1-rs9383938 association being consistent with the SNP effect on breast cancer risk. The effect of 6q25.1-rs3734805 on percent MD varied between parous and nulliparous women (Pinteraction = 0.02), whereas the effects of 9q31.2-rs865686 and MRPS30:FGF10-rs4415084 differed across strata of BMI (Pinteraction = 0.01 and 0.005, respectively). There was no evidence of effect modification by estrogen and progestin therapy use or alcohol consumption.
CONCLUSION: This study provides novel evidence of shared genetic risk factors between MD and breast cancer and of possible MD genetic-environmental interactions. IMPACT: Although the results may be chance findings, they nevertheless highlight the need to investigate interactions with nongenetic factors in studies on the genetics of MD. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25002657     DOI: 10.1158/1055-9965.EPI-13-1212

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  4 in total

Review 1.  Potential of Mitochondrial Ribosomal Genes as Cancer Biomarkers Demonstrated by Bioinformatics Results.

Authors:  Shunchao Bao; Xinyu Wang; Mo Li; Zhao Gao; Dongdong Zheng; Dihan Shen; Linlin Liu
Journal:  Front Oncol       Date:  2022-05-26       Impact factor: 5.738

2.  Mammographic density and breast cancer risk by family history in women of white and Asian ancestry.

Authors:  Gertraud Maskarinec; Kaylae L Nakamura; Christy G Woolcott; Shannon M Conroy; Celia Byrne; Chisato Nagata; Giske Ursin; Celine M Vachon
Journal:  Cancer Causes Control       Date:  2015-03-12       Impact factor: 2.506

3.  Interactions between breast cancer susceptibility loci and menopausal hormone therapy in relationship to breast cancer in the Breast and Prostate Cancer Cohort Consortium.

Authors:  Mia M Gaudet; Myrto Barrdahl; Sara Lindström; Ruth C Travis; Paul L Auer; Julie E Buring; Stephen J Chanock; A Heather Eliassen; Susan M Gapstur; Graham G Giles; Marc Gunter; Christopher Haiman; David J Hunter; Amit D Joshi; Rudolf Kaaks; Kay-Tee Khaw; I-Min Lee; Loic Le Marchand; Roger L Milne; Petra H M Peeters; Malin Sund; Rulla Tamimi; Antonia Trichopoulou; Elisabete Weiderpass; Xiaohong R Yang; Ross L Prentice; Heather Spencer Feigelson; Federico Canzian; Peter Kraft
Journal:  Breast Cancer Res Treat       Date:  2016-01-23       Impact factor: 4.872

4.  Identification of novel common breast cancer risk variants at the 6q25 locus among Latinas.

Authors:  Joshua Hoffman; Laura Fejerman; Donglei Hu; Scott Huntsman; Min Li; Esther M John; Gabriela Torres-Mejia; Larry Kushi; Yuan Chun Ding; Jeffrey Weitzel; Susan L Neuhausen; Paul Lott; Magdalena Echeverry; Luis Carvajal-Carmona; Esteban Burchard; Celeste Eng; Jirong Long; Wei Zheng; Olufunmilayo Olopade; Dezheng Huo; Christopher Haiman; Elad Ziv
Journal:  Breast Cancer Res       Date:  2019-01-14       Impact factor: 6.466

  4 in total

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