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

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 identifed 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 identifed 28 genome-wide signifcant 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 identifed two novel genes (SHOX2 and CRISPLD2) whose genetically predicted expression was signifcantly associated with MD phenotypes. Conclusions: Our fndings provided novel insight into the genetic background of MD phenotypes, and further demonstrated their shared genetic basis with breast cancer. Keywords: Mammographic density, Breast cancer, Genome-wide association study (GWAS), Transcriptome-wide association study (TWAS)