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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
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.
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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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