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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006574/ https://www.ncbi.nlm.nih.gov/pubmed/35414113 http://dx.doi.org/10.1186/s13058-022-01524-0 |
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author | Chen, Hongjie Fan, Shaoqi Stone, Jennifer Thompson, Deborah J. Douglas, Julie Li, Shuai Scott, Christopher Bolla, Manjeet K. Wang, Qin Dennis, Joe Michailidou, Kyriaki Li, Christopher Peters, Ulrike Hopper, John L. Southey, Melissa C. Nguyen-Dumont, Tu Nguyen, Tuong L. Fasching, Peter A. Behrens, Annika Cadby, Gemma Murphy, Rachel A. Aronson, Kristan Howell, Anthony Astley, Susan Couch, Fergus Olson, Janet Milne, Roger L. Giles, Graham G. Haiman, Christopher A. Maskarinec, Gertraud Winham, Stacey John, Esther M. Kurian, Allison Eliassen, Heather Andrulis, Irene Evans, D. Gareth Newman, William G. Hall, Per Czene, Kamila Swerdlow, Anthony Jones, Michael Pollan, Marina Fernandez-Navarro, Pablo McConnell, Daniel S. Kristensen, Vessela N. Rothstein, Joseph H. Wang, Pei Habel, Laurel A. Sieh, Weiva Dunning, Alison M. Pharoah, Paul D. P. Easton, Douglas F. Gierach, Gretchen L. Tamimi, Rulla M. Vachon, Celine M. Lindström, Sara |
author_facet | Chen, Hongjie Fan, Shaoqi Stone, Jennifer Thompson, Deborah J. Douglas, Julie Li, Shuai Scott, Christopher Bolla, Manjeet K. Wang, Qin Dennis, Joe Michailidou, Kyriaki Li, Christopher Peters, Ulrike Hopper, John L. Southey, Melissa C. Nguyen-Dumont, Tu Nguyen, Tuong L. Fasching, Peter A. Behrens, Annika Cadby, Gemma Murphy, Rachel A. Aronson, Kristan Howell, Anthony Astley, Susan Couch, Fergus Olson, Janet Milne, Roger L. Giles, Graham G. Haiman, Christopher A. Maskarinec, Gertraud Winham, Stacey John, Esther M. Kurian, Allison Eliassen, Heather Andrulis, Irene Evans, D. Gareth Newman, William G. Hall, Per Czene, Kamila Swerdlow, Anthony Jones, Michael Pollan, Marina Fernandez-Navarro, Pablo McConnell, Daniel S. Kristensen, Vessela N. Rothstein, Joseph H. Wang, Pei Habel, Laurel A. Sieh, Weiva Dunning, Alison M. Pharoah, Paul D. P. Easton, Douglas F. Gierach, Gretchen L. Tamimi, Rulla M. Vachon, Celine M. Lindström, Sara |
author_sort | Chen, Hongjie |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-022-01524-0. |
format | Online Article Text |
id | pubmed-9006574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90065742022-04-14 Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci Chen, Hongjie Fan, Shaoqi Stone, Jennifer Thompson, Deborah J. Douglas, Julie Li, Shuai Scott, Christopher Bolla, Manjeet K. Wang, Qin Dennis, Joe Michailidou, Kyriaki Li, Christopher Peters, Ulrike Hopper, John L. Southey, Melissa C. Nguyen-Dumont, Tu Nguyen, Tuong L. Fasching, Peter A. Behrens, Annika Cadby, Gemma Murphy, Rachel A. Aronson, Kristan Howell, Anthony Astley, Susan Couch, Fergus Olson, Janet Milne, Roger L. Giles, Graham G. Haiman, Christopher A. Maskarinec, Gertraud Winham, Stacey John, Esther M. Kurian, Allison Eliassen, Heather Andrulis, Irene Evans, D. Gareth Newman, William G. Hall, Per Czene, Kamila Swerdlow, Anthony Jones, Michael Pollan, Marina Fernandez-Navarro, Pablo McConnell, Daniel S. Kristensen, Vessela N. Rothstein, Joseph H. Wang, Pei Habel, Laurel A. Sieh, Weiva Dunning, Alison M. Pharoah, Paul D. P. Easton, Douglas F. Gierach, Gretchen L. Tamimi, Rulla M. Vachon, Celine M. Lindström, Sara Breast Cancer Res Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-022-01524-0. BioMed Central 2022-04-12 2022 /pmc/articles/PMC9006574/ /pubmed/35414113 http://dx.doi.org/10.1186/s13058-022-01524-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Chen, Hongjie Fan, Shaoqi Stone, Jennifer Thompson, Deborah J. Douglas, Julie Li, Shuai Scott, Christopher Bolla, Manjeet K. Wang, Qin Dennis, Joe Michailidou, Kyriaki Li, Christopher Peters, Ulrike Hopper, John L. Southey, Melissa C. Nguyen-Dumont, Tu Nguyen, Tuong L. Fasching, Peter A. Behrens, Annika Cadby, Gemma Murphy, Rachel A. Aronson, Kristan Howell, Anthony Astley, Susan Couch, Fergus Olson, Janet Milne, Roger L. Giles, Graham G. Haiman, Christopher A. Maskarinec, Gertraud Winham, Stacey John, Esther M. Kurian, Allison Eliassen, Heather Andrulis, Irene Evans, D. Gareth Newman, William G. Hall, Per Czene, Kamila Swerdlow, Anthony Jones, Michael Pollan, Marina Fernandez-Navarro, Pablo McConnell, Daniel S. Kristensen, Vessela N. Rothstein, Joseph H. Wang, Pei Habel, Laurel A. Sieh, Weiva Dunning, Alison M. Pharoah, Paul D. P. Easton, Douglas F. Gierach, Gretchen L. Tamimi, Rulla M. Vachon, Celine M. Lindström, Sara Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci |
title | Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci |
title_full | Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci |
title_fullStr | Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci |
title_full_unstemmed | Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci |
title_short | Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci |
title_sort | genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006574/ https://www.ncbi.nlm.nih.gov/pubmed/35414113 http://dx.doi.org/10.1186/s13058-022-01524-0 |
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