CoMeBack
CoMeBack estimates DNA co-methylation by identifying proximal CpG probes with correlated DNA methylation across individuals to define co-methylated regions (CMRs) that improve specificity in DNA methylation array analyses.
Key Features:
- Co-Methylated Regions (CMRs): Constructs CMRs from sets of array probes using genomic CpG information including both measured and unmeasured CpGs.
- Multiple-test correction reduction: Accounts for statistical dependencies between adjacent probes to reduce the multiple-testing burden and increase power to detect associations.
- Correlation-based specificity: Leverages correlations among proximal CpG sites to refine identification of biologically significant methylation regions.
- Empirical validation: Validated on Illumina Infinium 450K array data from over 5,000 individuals, with CMRs enriched for enhancer chromatin states and transcription factor binding motifs relevant to blood physiology.
Scientific Applications:
- Epigenome-wide association studies (EWAS): Facilitates EWAS by improving discovery of associations and reducing false positives, as demonstrated in studies of chronological age.
- Functional genomic interpretation: Identifies regions enriched for enhancers and transcription factor binding motifs to support interpretation of regulatory features in methylation studies.
Methodology:
Identifies proximal CpG probes exhibiting correlated DNA methylation across individuals and groups them into co-methylated regions (CMRs) using a genomic CpG background that includes measured and unmeasured CpGs; validated on Illumina Infinium 450K array data from over 5,000 individuals.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/17/2021
Operations
Publications
Gatev E, Gladish N, Mostafavi S, Kobor MS. CoMeBack: DNA methylation array data analysis for co-methylated regions. Bioinformatics. 2020;36(9):2675-2683. doi:10.1093/bioinformatics/btaa049. PMID:31985744.