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Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD
BACKGROUND: The causes of poor respiratory function and COPD are incompletely understood, but it is clear that genes and the environment play a role. As DNA methylation is under both genetic and environmental control, we hypothesised that investigation of differential methylation associated with the...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557748/ https://www.ncbi.nlm.nih.gov/pubmed/30935889 http://dx.doi.org/10.1016/j.ebiom.2019.03.072 |
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author | Bermingham, Mairead L. Walker, Rosie M. Marioni, Riccardo E. Morris, Stewart W. Rawlik, Konrad Zeng, Yanni Campbell, Archie Redmond, Paul Whalley, Heather C. Adams, Mark J. Hayward, Caroline Deary, Ian J. Porteous, David J. McIntosh, Andrew M. Evans, Kathryn L. |
author_facet | Bermingham, Mairead L. Walker, Rosie M. Marioni, Riccardo E. Morris, Stewart W. Rawlik, Konrad Zeng, Yanni Campbell, Archie Redmond, Paul Whalley, Heather C. Adams, Mark J. Hayward, Caroline Deary, Ian J. Porteous, David J. McIntosh, Andrew M. Evans, Kathryn L. |
author_sort | Bermingham, Mairead L. |
collection | PubMed |
description | BACKGROUND: The causes of poor respiratory function and COPD are incompletely understood, but it is clear that genes and the environment play a role. As DNA methylation is under both genetic and environmental control, we hypothesised that investigation of differential methylation associated with these phenotypes would permit mechanistic insights, and improve prediction of COPD. We investigated genome-wide differential DNA methylation patterns using the recently released 850 K Illumina EPIC array. This is the largest single population, whole-genome epigenetic study to date. METHODS: Epigenome-wide association studies (EWASs) of respiratory function and COPD were performed in peripheral blood samples from the Generation Scotland: Scottish Family Health Study (GS:SFHS) cohort (n = 3781; 274 COPD cases and 2919 controls). In independent COPD incidence data (n = 149), significantly differentially methylated sites (DMSs; p < 3.6 × 10(−8)) were evaluated for their added predictive power when added to a model including clinical variables, age, sex, height and smoking history using receiver operating characteristic analysis. The Lothian Birth Cohort 1936 (LBC1936) was used to replicate association (n = 895) and prediction (n = 178) results. FINDINGS: We identified 28 respiratory function and/or COPD associated DMSs, which mapped to genes involved in alternative splicing, JAK-STAT signalling, and axon guidance. In prediction analyses, we observed significant improvement in discrimination between COPD cases and controls (p < .05) in independent GS:SFHS (p = .016) and LBC1936 (p = .010) datasets by adding DMSs to a clinical model. INTERPRETATION: Identification of novel DMSs has provided insight into the molecular mechanisms regulating respiratory function and aided prediction of COPD risk. Further studies are needed to assess the causality and clinical utility of identified associations. FUND: Wellcome Trust Strategic Award 10436/Z/14/Z. |
format | Online Article Text |
id | pubmed-6557748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-65577482019-06-13 Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD Bermingham, Mairead L. Walker, Rosie M. Marioni, Riccardo E. Morris, Stewart W. Rawlik, Konrad Zeng, Yanni Campbell, Archie Redmond, Paul Whalley, Heather C. Adams, Mark J. Hayward, Caroline Deary, Ian J. Porteous, David J. McIntosh, Andrew M. Evans, Kathryn L. EBioMedicine Research paper BACKGROUND: The causes of poor respiratory function and COPD are incompletely understood, but it is clear that genes and the environment play a role. As DNA methylation is under both genetic and environmental control, we hypothesised that investigation of differential methylation associated with these phenotypes would permit mechanistic insights, and improve prediction of COPD. We investigated genome-wide differential DNA methylation patterns using the recently released 850 K Illumina EPIC array. This is the largest single population, whole-genome epigenetic study to date. METHODS: Epigenome-wide association studies (EWASs) of respiratory function and COPD were performed in peripheral blood samples from the Generation Scotland: Scottish Family Health Study (GS:SFHS) cohort (n = 3781; 274 COPD cases and 2919 controls). In independent COPD incidence data (n = 149), significantly differentially methylated sites (DMSs; p < 3.6 × 10(−8)) were evaluated for their added predictive power when added to a model including clinical variables, age, sex, height and smoking history using receiver operating characteristic analysis. The Lothian Birth Cohort 1936 (LBC1936) was used to replicate association (n = 895) and prediction (n = 178) results. FINDINGS: We identified 28 respiratory function and/or COPD associated DMSs, which mapped to genes involved in alternative splicing, JAK-STAT signalling, and axon guidance. In prediction analyses, we observed significant improvement in discrimination between COPD cases and controls (p < .05) in independent GS:SFHS (p = .016) and LBC1936 (p = .010) datasets by adding DMSs to a clinical model. INTERPRETATION: Identification of novel DMSs has provided insight into the molecular mechanisms regulating respiratory function and aided prediction of COPD risk. Further studies are needed to assess the causality and clinical utility of identified associations. FUND: Wellcome Trust Strategic Award 10436/Z/14/Z. Elsevier 2019-03-29 /pmc/articles/PMC6557748/ /pubmed/30935889 http://dx.doi.org/10.1016/j.ebiom.2019.03.072 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research paper Bermingham, Mairead L. Walker, Rosie M. Marioni, Riccardo E. Morris, Stewart W. Rawlik, Konrad Zeng, Yanni Campbell, Archie Redmond, Paul Whalley, Heather C. Adams, Mark J. Hayward, Caroline Deary, Ian J. Porteous, David J. McIntosh, Andrew M. Evans, Kathryn L. Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD |
title | Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD |
title_full | Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD |
title_fullStr | Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD |
title_full_unstemmed | Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD |
title_short | Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD |
title_sort | identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and copd |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557748/ https://www.ncbi.nlm.nih.gov/pubmed/30935889 http://dx.doi.org/10.1016/j.ebiom.2019.03.072 |
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