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Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer
BACKGROUND: Both genetic and epigenetic factors influence the development and progression of epithelial ovarian cancer (EOC). However, there is an incomplete understanding of the interrelationship between these factors and the extent to which they interact to impact disease risk. In the present stud...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916313/ https://www.ncbi.nlm.nih.gov/pubmed/24479488 http://dx.doi.org/10.1186/1755-8794-7-8 |
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author | Koestler, Devin C Chalise, Prabhakar Cicek, Mine S Cunningham, Julie M Armasu, Sebastian Larson, Melissa C Chien, Jeremy Block, Matthew Kalli, Kimberly R Sellers, Thomas A Fridley, Brooke L Goode, Ellen L |
author_facet | Koestler, Devin C Chalise, Prabhakar Cicek, Mine S Cunningham, Julie M Armasu, Sebastian Larson, Melissa C Chien, Jeremy Block, Matthew Kalli, Kimberly R Sellers, Thomas A Fridley, Brooke L Goode, Ellen L |
author_sort | Koestler, Devin C |
collection | PubMed |
description | BACKGROUND: Both genetic and epigenetic factors influence the development and progression of epithelial ovarian cancer (EOC). However, there is an incomplete understanding of the interrelationship between these factors and the extent to which they interact to impact disease risk. In the present study, we aimed to gain insight into this relationship by identifying DNA methylation marks that are candidate mediators of ovarian cancer genetic risk. METHODS: We used 214 cases and 214 age-matched controls from the Mayo Clinic Ovarian Cancer Study. Pretreatment, blood-derived DNA was profiled for genome-wide methylation (Illumina Infinium HumanMethylation27 BeadArray) and single nucleotide polymorphisms (SNPs, Illumina Infinium HD Human610-Quad BeadArray). The Causal Inference Test (CIT) was implemented to distinguish CpG sites that mediate genetic risk, from those that are consequential or independently acted on by genotype. RESULTS: Controlling for the estimated distribution of immune cells and other key covariates, our initial epigenome-wide association analysis revealed 1,993 significantly differentially methylated CpGs that between cases and controls (FDR, q < 0.05). The relationship between methylation and case-control status for these 1,993 CpGs was found to be highly consistent with the results of previously published, independent study that consisted of peripheral blood DNA methylation signatures in 131 pretreatment cases and 274 controls. Implementation of the CIT test revealed 17 CpG/SNP pairs, comprising 13 unique CpGs and 17 unique SNPs, which represent potential methylation-mediated relationships between genotype and EOC risk. Of these 13 CpGs, several are associated with immune related genes and genes that have been previously shown to exhibit altered expression in the context of cancer. CONCLUSIONS: These findings provide additional insight into EOC etiology and may serve as novel biomarkers for EOC susceptibility. |
format | Online Article Text |
id | pubmed-3916313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39163132014-02-07 Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer Koestler, Devin C Chalise, Prabhakar Cicek, Mine S Cunningham, Julie M Armasu, Sebastian Larson, Melissa C Chien, Jeremy Block, Matthew Kalli, Kimberly R Sellers, Thomas A Fridley, Brooke L Goode, Ellen L BMC Med Genomics Research Article BACKGROUND: Both genetic and epigenetic factors influence the development and progression of epithelial ovarian cancer (EOC). However, there is an incomplete understanding of the interrelationship between these factors and the extent to which they interact to impact disease risk. In the present study, we aimed to gain insight into this relationship by identifying DNA methylation marks that are candidate mediators of ovarian cancer genetic risk. METHODS: We used 214 cases and 214 age-matched controls from the Mayo Clinic Ovarian Cancer Study. Pretreatment, blood-derived DNA was profiled for genome-wide methylation (Illumina Infinium HumanMethylation27 BeadArray) and single nucleotide polymorphisms (SNPs, Illumina Infinium HD Human610-Quad BeadArray). The Causal Inference Test (CIT) was implemented to distinguish CpG sites that mediate genetic risk, from those that are consequential or independently acted on by genotype. RESULTS: Controlling for the estimated distribution of immune cells and other key covariates, our initial epigenome-wide association analysis revealed 1,993 significantly differentially methylated CpGs that between cases and controls (FDR, q < 0.05). The relationship between methylation and case-control status for these 1,993 CpGs was found to be highly consistent with the results of previously published, independent study that consisted of peripheral blood DNA methylation signatures in 131 pretreatment cases and 274 controls. Implementation of the CIT test revealed 17 CpG/SNP pairs, comprising 13 unique CpGs and 17 unique SNPs, which represent potential methylation-mediated relationships between genotype and EOC risk. Of these 13 CpGs, several are associated with immune related genes and genes that have been previously shown to exhibit altered expression in the context of cancer. CONCLUSIONS: These findings provide additional insight into EOC etiology and may serve as novel biomarkers for EOC susceptibility. BioMed Central 2014-01-30 /pmc/articles/PMC3916313/ /pubmed/24479488 http://dx.doi.org/10.1186/1755-8794-7-8 Text en Copyright © 2014 Koestler et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Koestler, Devin C Chalise, Prabhakar Cicek, Mine S Cunningham, Julie M Armasu, Sebastian Larson, Melissa C Chien, Jeremy Block, Matthew Kalli, Kimberly R Sellers, Thomas A Fridley, Brooke L Goode, Ellen L Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer |
title | Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer |
title_full | Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer |
title_fullStr | Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer |
title_full_unstemmed | Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer |
title_short | Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer |
title_sort | integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916313/ https://www.ncbi.nlm.nih.gov/pubmed/24479488 http://dx.doi.org/10.1186/1755-8794-7-8 |
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