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Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes
Our previous GWAS using samples from the NSABP P-1 and P-2 selective estrogen receptor modulator (SERM) breast cancer prevention trials identified SNPs in ZNF423 and near CTSO that were associated with breast cancer risk during SERM chemoprevention. We have now performed Next Generation DNA sequenci...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566425/ https://www.ncbi.nlm.nih.gov/pubmed/28856246 http://dx.doi.org/10.1038/s41523-017-0036-4 |
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author | Liu, Duan Ho, Ming-Fen Schaid, Daniel J. Scherer, Steven E. Kalari, Krishna Liu, Mohan Biernacka, Joanna Yee, Vivien Evans, Jared Carlson, Erin Goetz, Matthew P. Kubo, Michiaki Wickerham, D. Lawrence Wang, Liewei Ingle, James N. Weinshilboum, Richard M. |
author_facet | Liu, Duan Ho, Ming-Fen Schaid, Daniel J. Scherer, Steven E. Kalari, Krishna Liu, Mohan Biernacka, Joanna Yee, Vivien Evans, Jared Carlson, Erin Goetz, Matthew P. Kubo, Michiaki Wickerham, D. Lawrence Wang, Liewei Ingle, James N. Weinshilboum, Richard M. |
author_sort | Liu, Duan |
collection | PubMed |
description | Our previous GWAS using samples from the NSABP P-1 and P-2 selective estrogen receptor modulator (SERM) breast cancer prevention trials identified SNPs in ZNF423 and near CTSO that were associated with breast cancer risk during SERM chemoprevention. We have now performed Next Generation DNA sequencing to identify additional SNPs that might contribute to breast cancer risk and to extend our observation that SNPs located hundreds of bp from estrogen response elements (EREs) can alter estrogen receptor alpha (ERα) binding in a SERM-dependent fashion. Our study utilized a nested case-control cohort selected from patients enrolled in the original GWAS, with 199 cases who developed breast cancer during SERM therapy and 201 matched controls who did not. We resequenced approximately 500 kb across both ZNF423 and CTSO, followed by functional genomic studies. We identified 4079 SNPs across ZNF423 and 3876 across CTSO, with 9 SNPs in ZNF423 and 12 in CTSO with p < 1E-02 that were within 500 bp of an ERE motif. The rs746157 (p = 8.44E-04) and rs12918288 SNPs (p = 3.43E-03) in intron 5 of ZNF423, were in linkage equilibrium and were associated with alterations in ER-binding to an ERE motif distant from these SNPs. We also studied all nonsynonymous SNPs in both genes and observed that one nsSNP in ZNF423 displayed decreased protein expression. In conclusion, we identified additional functional SNPs in ZNF423 that were associated with SNP and SERM-dependent alternations in ER binding and transcriptional regulation for an ERE at a distance from the SNPs, thus providing novel insight into mechanisms of SERM effect. |
format | Online Article Text |
id | pubmed-5566425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55664252017-08-30 Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes Liu, Duan Ho, Ming-Fen Schaid, Daniel J. Scherer, Steven E. Kalari, Krishna Liu, Mohan Biernacka, Joanna Yee, Vivien Evans, Jared Carlson, Erin Goetz, Matthew P. Kubo, Michiaki Wickerham, D. Lawrence Wang, Liewei Ingle, James N. Weinshilboum, Richard M. NPJ Breast Cancer Article Our previous GWAS using samples from the NSABP P-1 and P-2 selective estrogen receptor modulator (SERM) breast cancer prevention trials identified SNPs in ZNF423 and near CTSO that were associated with breast cancer risk during SERM chemoprevention. We have now performed Next Generation DNA sequencing to identify additional SNPs that might contribute to breast cancer risk and to extend our observation that SNPs located hundreds of bp from estrogen response elements (EREs) can alter estrogen receptor alpha (ERα) binding in a SERM-dependent fashion. Our study utilized a nested case-control cohort selected from patients enrolled in the original GWAS, with 199 cases who developed breast cancer during SERM therapy and 201 matched controls who did not. We resequenced approximately 500 kb across both ZNF423 and CTSO, followed by functional genomic studies. We identified 4079 SNPs across ZNF423 and 3876 across CTSO, with 9 SNPs in ZNF423 and 12 in CTSO with p < 1E-02 that were within 500 bp of an ERE motif. The rs746157 (p = 8.44E-04) and rs12918288 SNPs (p = 3.43E-03) in intron 5 of ZNF423, were in linkage equilibrium and were associated with alterations in ER-binding to an ERE motif distant from these SNPs. We also studied all nonsynonymous SNPs in both genes and observed that one nsSNP in ZNF423 displayed decreased protein expression. In conclusion, we identified additional functional SNPs in ZNF423 that were associated with SNP and SERM-dependent alternations in ER binding and transcriptional regulation for an ERE at a distance from the SNPs, thus providing novel insight into mechanisms of SERM effect. Nature Publishing Group UK 2017-08-21 /pmc/articles/PMC5566425/ /pubmed/28856246 http://dx.doi.org/10.1038/s41523-017-0036-4 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Duan Ho, Ming-Fen Schaid, Daniel J. Scherer, Steven E. Kalari, Krishna Liu, Mohan Biernacka, Joanna Yee, Vivien Evans, Jared Carlson, Erin Goetz, Matthew P. Kubo, Michiaki Wickerham, D. Lawrence Wang, Liewei Ingle, James N. Weinshilboum, Richard M. Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes |
title | Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes |
title_full | Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes |
title_fullStr | Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes |
title_full_unstemmed | Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes |
title_short | Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes |
title_sort | breast cancer chemoprevention pharmacogenomics: deep sequencing and functional genomics of the znf423 and ctso genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566425/ https://www.ncbi.nlm.nih.gov/pubmed/28856246 http://dx.doi.org/10.1038/s41523-017-0036-4 |
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