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Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci.

Published version
Peer-reviewed

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Authors

Chen, Hongjie 
Fan, Shaoqi 
Stone, Jennifer 
Thompson, Deborah J 
Douglas, Julie 

Abstract

BACKGROUND: Mammographic density (MD) phenotypes, including percent density (PMD), area of dense tissue (DA), and area of non-dense tissue (NDA), are associated with breast cancer risk. Twin studies suggest that MD phenotypes are highly heritable. However, only a small proportion of their variance is explained by identified genetic variants. METHODS: We conducted a genome-wide association study, as well as a transcriptome-wide association study (TWAS), of age- and BMI-adjusted DA, NDA, and PMD in up to 27,900 European-ancestry women from the MODE/BCAC consortia. RESULTS: We identified 28 genome-wide significant loci for MD phenotypes, including nine novel signals (5q11.2, 5q14.1, 5q31.1, 5q33.3, 5q35.1, 7p11.2, 8q24.13, 12p11.2, 16q12.2). Further, 45% of all known breast cancer SNPs were associated with at least one MD phenotype at p < 0.05. TWAS further identified two novel genes (SHOX2 and CRISPLD2) whose genetically predicted expression was significantly associated with MD phenotypes. CONCLUSIONS: Our findings provided novel insight into the genetic background of MD phenotypes, and further demonstrated their shared genetic basis with breast cancer.

Description

Keywords

Research Article, Mammographic density, Breast cancer, Genome-wide association study (GWAS), Transcriptome-wide association study (TWAS)

Journal Title

Breast Cancer Res

Conference Name

Journal ISSN

1465-5411
1465-542X

Volume Title

24

Publisher

Springer Science and Business Media LLC
Sponsorship
National Cancer Institute (CA244670)
National Institutes of Health (CA194393)