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A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women

BACKGROUND: MicroRNAs (miRNAs) regulate gene expression and influence cancer. Primary transcripts of miRNAs (pri-miRNAs) are poorly annotated and little is known about the role of germline variation in miRNA genes and breast cancer (BC). We sought to identify germline miRNA variants associated with...

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Autores principales: Bensen, Jeannette T., Graff, Mariaelisa, Young, Kristin L., Sethupathy, Praveen, Parker, Joel, Pecot, Chad V., Currin, Kevin, Haddad, Stephen A., Ruiz-Narváez, Edward A., Haiman, Christopher A., Hong, Chi-Chen, Sucheston-Campbell, Lara E., Zhu, Qianqian, Liu, Song, Yao, Song, Bandera, Elisa V., Rosenberg, Lynn, Lunetta, Kathryn L., Ambrosone, Christine B., Palmer, Julie R., Troester, Melissa A., Olshan, Andrew F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5989404/
https://www.ncbi.nlm.nih.gov/pubmed/29871690
http://dx.doi.org/10.1186/s13058-018-0964-4
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author Bensen, Jeannette T.
Graff, Mariaelisa
Young, Kristin L.
Sethupathy, Praveen
Parker, Joel
Pecot, Chad V.
Currin, Kevin
Haddad, Stephen A.
Ruiz-Narváez, Edward A.
Haiman, Christopher A.
Hong, Chi-Chen
Sucheston-Campbell, Lara E.
Zhu, Qianqian
Liu, Song
Yao, Song
Bandera, Elisa V.
Rosenberg, Lynn
Lunetta, Kathryn L.
Ambrosone, Christine B.
Palmer, Julie R.
Troester, Melissa A.
Olshan, Andrew F.
author_facet Bensen, Jeannette T.
Graff, Mariaelisa
Young, Kristin L.
Sethupathy, Praveen
Parker, Joel
Pecot, Chad V.
Currin, Kevin
Haddad, Stephen A.
Ruiz-Narváez, Edward A.
Haiman, Christopher A.
Hong, Chi-Chen
Sucheston-Campbell, Lara E.
Zhu, Qianqian
Liu, Song
Yao, Song
Bandera, Elisa V.
Rosenberg, Lynn
Lunetta, Kathryn L.
Ambrosone, Christine B.
Palmer, Julie R.
Troester, Melissa A.
Olshan, Andrew F.
author_sort Bensen, Jeannette T.
collection PubMed
description BACKGROUND: MicroRNAs (miRNAs) regulate gene expression and influence cancer. Primary transcripts of miRNAs (pri-miRNAs) are poorly annotated and little is known about the role of germline variation in miRNA genes and breast cancer (BC). We sought to identify germline miRNA variants associated with BC risk and tumor subtype among African-American (AA) women. METHODS: Under the African American Breast Cancer Epidemiology and Risk (AMBER) Consortium, genotyping and imputed data from four studies on BC in AA women were combined into a final dataset containing 224,188 miRNA gene single nucleotide polymorphisms (SNPs) for 8350 women: 3663 cases and 4687 controls. The primary miRNA sequence was identified for 566 miRNA genes expressed in Encyclopedia of DNA Elements (ENCODE) Tier 1 cell types and human pancreatic islets. Association analysis was conducted using logistic regression for BC status overall and by tumor subtype. RESULTS: A novel BC signal was localized to an 8.6-kb region of 17q25.3 by four SNPs (rs9913477, rs1428882938, rs28585511, and rs7502931) and remained statistically significant after multiple test correction (odds ratio (OR) = 1.44, 95% confidence interval (CI) = 1.26–1.65; p = 3.15 × 10(−7); false discovery rate (FDR) = 0.03). These SNPs reside in a genomic location that includes both the predicted primary transcript of the noncoding miRNA gene MIR3065 and the first intron of the gene for brain-specific angiogenesis inhibitor 1-associated protein 2 (BAIAP2). Furthermore, miRNA-associated SNPs on chromosomes 1p32.3, 5q32, and 3p25.1 were the strongest signals for hormone receptor, luminal versus basal-like, and HER2 enrichment status, respectively. A second phase of genotyping (1397 BC cases, 2418 controls) that included two SNPs in the 8.6-kb region was used for validation and meta-analysis. While neither rs4969239 nor rs9913477 was validated, when meta-analyzed with the original dataset their association with BC remained directionally consistent (OR = 1.29, 95% CI = 1.16–1.44 (p = 4.18 × 10(–6)) and OR = 1.33, 95% CI = 1.17–1.51 (p = 1.6 × 10(–5)), respectively). CONCLUSION: Germline genetic variation indicates that MIR3065 may play an important role in BC development and heterogeneity among AA women. Further investigation to determine the potential functional effects of these SNPs is warranted. This study contributes to our understanding of BC risk in AA women and highlights the complexity in evaluating variation in gene-dense regions of the human genome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0964-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-59894042018-06-20 A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women Bensen, Jeannette T. Graff, Mariaelisa Young, Kristin L. Sethupathy, Praveen Parker, Joel Pecot, Chad V. Currin, Kevin Haddad, Stephen A. Ruiz-Narváez, Edward A. Haiman, Christopher A. Hong, Chi-Chen Sucheston-Campbell, Lara E. Zhu, Qianqian Liu, Song Yao, Song Bandera, Elisa V. Rosenberg, Lynn Lunetta, Kathryn L. Ambrosone, Christine B. Palmer, Julie R. Troester, Melissa A. Olshan, Andrew F. Breast Cancer Res Research Article BACKGROUND: MicroRNAs (miRNAs) regulate gene expression and influence cancer. Primary transcripts of miRNAs (pri-miRNAs) are poorly annotated and little is known about the role of germline variation in miRNA genes and breast cancer (BC). We sought to identify germline miRNA variants associated with BC risk and tumor subtype among African-American (AA) women. METHODS: Under the African American Breast Cancer Epidemiology and Risk (AMBER) Consortium, genotyping and imputed data from four studies on BC in AA women were combined into a final dataset containing 224,188 miRNA gene single nucleotide polymorphisms (SNPs) for 8350 women: 3663 cases and 4687 controls. The primary miRNA sequence was identified for 566 miRNA genes expressed in Encyclopedia of DNA Elements (ENCODE) Tier 1 cell types and human pancreatic islets. Association analysis was conducted using logistic regression for BC status overall and by tumor subtype. RESULTS: A novel BC signal was localized to an 8.6-kb region of 17q25.3 by four SNPs (rs9913477, rs1428882938, rs28585511, and rs7502931) and remained statistically significant after multiple test correction (odds ratio (OR) = 1.44, 95% confidence interval (CI) = 1.26–1.65; p = 3.15 × 10(−7); false discovery rate (FDR) = 0.03). These SNPs reside in a genomic location that includes both the predicted primary transcript of the noncoding miRNA gene MIR3065 and the first intron of the gene for brain-specific angiogenesis inhibitor 1-associated protein 2 (BAIAP2). Furthermore, miRNA-associated SNPs on chromosomes 1p32.3, 5q32, and 3p25.1 were the strongest signals for hormone receptor, luminal versus basal-like, and HER2 enrichment status, respectively. A second phase of genotyping (1397 BC cases, 2418 controls) that included two SNPs in the 8.6-kb region was used for validation and meta-analysis. While neither rs4969239 nor rs9913477 was validated, when meta-analyzed with the original dataset their association with BC remained directionally consistent (OR = 1.29, 95% CI = 1.16–1.44 (p = 4.18 × 10(–6)) and OR = 1.33, 95% CI = 1.17–1.51 (p = 1.6 × 10(–5)), respectively). CONCLUSION: Germline genetic variation indicates that MIR3065 may play an important role in BC development and heterogeneity among AA women. Further investigation to determine the potential functional effects of these SNPs is warranted. This study contributes to our understanding of BC risk in AA women and highlights the complexity in evaluating variation in gene-dense regions of the human genome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0964-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-05 2018 /pmc/articles/PMC5989404/ /pubmed/29871690 http://dx.doi.org/10.1186/s13058-018-0964-4 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
Bensen, Jeannette T.
Graff, Mariaelisa
Young, Kristin L.
Sethupathy, Praveen
Parker, Joel
Pecot, Chad V.
Currin, Kevin
Haddad, Stephen A.
Ruiz-Narváez, Edward A.
Haiman, Christopher A.
Hong, Chi-Chen
Sucheston-Campbell, Lara E.
Zhu, Qianqian
Liu, Song
Yao, Song
Bandera, Elisa V.
Rosenberg, Lynn
Lunetta, Kathryn L.
Ambrosone, Christine B.
Palmer, Julie R.
Troester, Melissa A.
Olshan, Andrew F.
A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women
title A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women
title_full A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women
title_fullStr A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women
title_full_unstemmed A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women
title_short A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women
title_sort survey of microrna single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of african-american women
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5989404/
https://www.ncbi.nlm.nih.gov/pubmed/29871690
http://dx.doi.org/10.1186/s13058-018-0964-4
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