Breast Cancer Research

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Open Access Highly Access Research article

Association between breast cancer susceptibility loci and mammographic density: the Multiethnic Cohort

Christy G Woolcott1*, Gertraud Maskarinec1, Christopher A Haiman2, Martijn Verheus1, Ian S Pagano1, Loïc Le Marchand1, Brian E Henderson2 and Laurence N Kolonel1

Author Affiliations

1 Cancer Research Center of Hawaii, University of Hawaii, 1236 Lauhala Street, Honolulu, HI 96813, USA

2 Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, NTT-4436, Los Angeles, CA 90089, USA

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Breast Cancer Research 2009, 11:R10 doi:10.1186/bcr2229

Published: 21 February 2009

Abstract

Introduction

Mammographic density is a strong risk factor for breast cancer. Our objective was to examine its association with polymorphisms identifying breast cancer susceptibility loci that were ascertained in recent genome-wide association studies.

Methods

Subjects were 825 women who participated in previous case–control studies of mammographic density and genetic factors nested within the Multiethnic Cohort study and were from three ethnic groups (White, Japanese American, Native Hawaiian). Eight polymorphisms (rs2981582 in FGFR2, rs3803662 and rs12443621in TOX3, rs3817198 in LSP1, rs981782 and rs10941679 near HCN1/MRPS30, rs889312 in MAP3K1, and rs13387042 at 2q) were examined. Mammographic density was quantified with a computer-assisted method as the percent dense area: the area of radiologically dense fibroglandular tissue relative to the total breast area that also includes radiologically lucent fatty tissue.

Results

The polymorphism rs12443621 in TOX3 was associated with percent dense area; women with at least one G allele (previously associated with increased breast cancer risk) had 3% to 4% higher densities than women with two A alleles. The polymorphism rs10941679 near HCN1/MRPS30 was also associated with percent dense area; women who were homozygous for the G allele (previously associated with increased breast cancer risk) had 4% to 5% lower densities than women with at least one A allele. The other polymorphisms were not associated with percent dense area.

Conclusions

The available data suggest that the effects of most of these polymorphisms on breast cancer are not mediated by mammographic density. Some effects may have been too small to be detected. The association with rs12443621 may provide clues as to how variation in TOX3 influences breast cancer risk.