EpigenCentral

EpigenCentral analyzes DNA methylation (DNAm) data to identify and classify disease-associated methylation patterns and interpret the impact of genetic variants affecting chromatin-modifying proteins in neurodevelopmental disorders such as autism spectrum disorder and other rare syndromes.

Key Features:

• Variant classification: Classifies genetic variants as pathogenic or benign with interpretation of their potential impact on chromatin-modifying proteins.
• Disease-associated DNAm pattern search: Searches user DNAm data for matches to known disease-associated methylation patterns to support identification of epigenetic signatures.
• Differential methylation analysis: Detects and reports differential methylation patterns and aberrant DNA methylation associated with disease states.
• Database integration: Compares user-provided DNAm data against comprehensive databases of known disease-associated methylation patterns for classification and comparison.

Scientific Applications:

• Epigenetic mechanism investigation: Enables exploration of how DNAm alterations and variants disrupting chromatin-modifying proteins contribute to neurodevelopmental disorder pathogenesis.
• Biomarker identification: Supports identification of methylation-based biomarkers for autism spectrum disorder and other rare neurodevelopmental syndromes.
• Molecular diagnostics support: Provides DNAm-based evidence to aid interpretation of variant pathogenicity and disease-associated epigenetic signatures.

Methodology:

Integrates user-provided DNAm data with comprehensive databases of known disease-associated methylation patterns to perform comparative analyses and classification of methylation signatures and variants.