Your browser doesn't support javascript.
loading
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.
Afiliación
  • Bermingham ML; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK. Electronic address: mairead.bermingham@igmm.ed.ac.uk.
  • Walker RM; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Marioni RE; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
  • Morris SW; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Rawlik K; Division of Genetics and Genomics, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Roslin, UK.
  • Zeng Y; Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Campbell A; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
  • Redmond P; Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
  • Whalley HC; Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
  • Adams MJ; Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
  • Hayward C; Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Deary IJ; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
  • Porteous DJ; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
  • McIntosh AM; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospita
  • Evans KL; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
EBioMedicine ; 43: 576-586, 2019 May.
Article en En | MEDLINE | ID: mdl-30935889
ABSTRACT

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 (GSSFHS) 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 GSSFHS (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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenotipo / Metilación de ADN / Predisposición Genética a la Enfermedad / Enfermedad Pulmonar Obstructiva Crónica / Estudios de Asociación Genética Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: EBioMedicine Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenotipo / Metilación de ADN / Predisposición Genética a la Enfermedad / Enfermedad Pulmonar Obstructiva Crónica / Estudios de Asociación Genética Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: EBioMedicine Año: 2019 Tipo del documento: Article
...