Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci
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 i...
| Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | article |
| Publication Date: | 2022 |
| Country: | España |
| Institution: | Instituto de Salud Carlos III (ISCIII) |
| Repository: | Repisalud |
| Language: | English |
| OAI Identifier: | oai:repisalud.isciii.es:20.500.12105/14868 |
| Online Access: | http://hdl.handle.net/20.500.12105/14868 |
| Access Level: | Open access |
| Keyword: | Breast Density Breast Neoplasms Female Genetic Predisposition to Disease Genome-Wide Association Study Humans Phenotype Polymorphism, Single Nucleotide Transcriptome |
| Summary: | 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. |
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