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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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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.
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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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