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Common genetic variation and novel loci associated with volumetric mammographic density
BACKGROUND: Mammographic density (MD) is a strong and heritable intermediate phenotype of breast cancer, but much of its genetic variation remains unexplained. METHODS: We conducted a genetic association study of volumetric MD in a Swedish mammography screening cohort (n = 9498) to identify novel MD...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904990/ https://www.ncbi.nlm.nih.gov/pubmed/29665850 http://dx.doi.org/10.1186/s13058-018-0954-6 |
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author | Brand, Judith S. Humphreys, Keith Li, Jingmei Karlsson, Robert Hall, Per Czene, Kamila |
author_facet | Brand, Judith S. Humphreys, Keith Li, Jingmei Karlsson, Robert Hall, Per Czene, Kamila |
author_sort | Brand, Judith S. |
collection | PubMed |
description | BACKGROUND: Mammographic density (MD) is a strong and heritable intermediate phenotype of breast cancer, but much of its genetic variation remains unexplained. METHODS: We conducted a genetic association study of volumetric MD in a Swedish mammography screening cohort (n = 9498) to identify novel MD loci. Associations with volumetric MD phenotypes (percent dense volume, absolute dense volume, and absolute nondense volume) were estimated using linear regression adjusting for age, body mass index, menopausal status, and six principal components. We also estimated the proportion of MD variance explained by additive contributions from single-nucleotide polymorphisms (SNP-based heritability [h(2)(SNP)]) in 4948 participants of the cohort. RESULTS: In total, three novel MD loci were identified (at P < 5 × 10(− 8)): one for percent dense volume (HABP2) and two for the absolute dense volume (INHBB, LINC01483). INHBB is an established locus for ER-negative breast cancer, and HABP2 and LINC01483 represent putative new breast cancer susceptibility loci, because both loci were associated with breast cancer in available meta-analysis data including 122,977 breast cancer cases and 105,974 control subjects (P < 0.05). h(2)(SNP) (SE) estimates for percent dense, absolute dense, and nondense volume were 0.29 (0.07), 0.31 (0.07), and 0.25 (0.07), respectively. Corresponding ratios of h(2)(SNP) to previously observed narrow-sense h(2) estimates in the same cohort were 0.46, 0.72, and 0.41, respectively. CONCLUSIONS: These findings provide new insights into the genetic basis of MD and biological mechanisms linking MD to breast cancer risk. Apart from identifying three novel loci, we demonstrate that at least 25% of the MD variance is explained by common genetic variation with h(2)(SNP)/h(2) ratios varying between dense and nondense MD components. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0954-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5904990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59049902018-04-24 Common genetic variation and novel loci associated with volumetric mammographic density Brand, Judith S. Humphreys, Keith Li, Jingmei Karlsson, Robert Hall, Per Czene, Kamila Breast Cancer Res Research Article BACKGROUND: Mammographic density (MD) is a strong and heritable intermediate phenotype of breast cancer, but much of its genetic variation remains unexplained. METHODS: We conducted a genetic association study of volumetric MD in a Swedish mammography screening cohort (n = 9498) to identify novel MD loci. Associations with volumetric MD phenotypes (percent dense volume, absolute dense volume, and absolute nondense volume) were estimated using linear regression adjusting for age, body mass index, menopausal status, and six principal components. We also estimated the proportion of MD variance explained by additive contributions from single-nucleotide polymorphisms (SNP-based heritability [h(2)(SNP)]) in 4948 participants of the cohort. RESULTS: In total, three novel MD loci were identified (at P < 5 × 10(− 8)): one for percent dense volume (HABP2) and two for the absolute dense volume (INHBB, LINC01483). INHBB is an established locus for ER-negative breast cancer, and HABP2 and LINC01483 represent putative new breast cancer susceptibility loci, because both loci were associated with breast cancer in available meta-analysis data including 122,977 breast cancer cases and 105,974 control subjects (P < 0.05). h(2)(SNP) (SE) estimates for percent dense, absolute dense, and nondense volume were 0.29 (0.07), 0.31 (0.07), and 0.25 (0.07), respectively. Corresponding ratios of h(2)(SNP) to previously observed narrow-sense h(2) estimates in the same cohort were 0.46, 0.72, and 0.41, respectively. CONCLUSIONS: These findings provide new insights into the genetic basis of MD and biological mechanisms linking MD to breast cancer risk. Apart from identifying three novel loci, we demonstrate that at least 25% of the MD variance is explained by common genetic variation with h(2)(SNP)/h(2) ratios varying between dense and nondense MD components. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0954-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-17 2018 /pmc/articles/PMC5904990/ /pubmed/29665850 http://dx.doi.org/10.1186/s13058-018-0954-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Brand, Judith S. Humphreys, Keith Li, Jingmei Karlsson, Robert Hall, Per Czene, Kamila Common genetic variation and novel loci associated with volumetric mammographic density |
title | Common genetic variation and novel loci associated with volumetric mammographic density |
title_full | Common genetic variation and novel loci associated with volumetric mammographic density |
title_fullStr | Common genetic variation and novel loci associated with volumetric mammographic density |
title_full_unstemmed | Common genetic variation and novel loci associated with volumetric mammographic density |
title_short | Common genetic variation and novel loci associated with volumetric mammographic density |
title_sort | common genetic variation and novel loci associated with volumetric mammographic density |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904990/ https://www.ncbi.nlm.nih.gov/pubmed/29665850 http://dx.doi.org/10.1186/s13058-018-0954-6 |
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