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Research Dashboard

Research data visualization and analysis

Piyush Acharya

Piyush Acharya

Principal Investigator, University of Victoria

University of Victoria

Research Study

Epigenetics Research
March 2025 Cohort
Subject De-identification
Data Privacy Protocol

Patient Reports

De-identified

ID: P-78942 • Age: 42

ME/CFS
Collected: March 3, 2025
Sample: Whole Blood
Confidence: 97.2%

De-identified

ID: P-64531 • Age: 38

Long COVID
Collected: March 3, 2025
Sample: Whole Blood
Confidence: 94.8%

De-identified

ID: P-92105 • Age: 29

Negative
Collected: March 1, 2025
Sample: Whole Blood
Confidence: 99.1%

De-identified

ID: P-54238 • Age: 51

ME/CFS
Collected: March 2, 2025
Sample: Whole Blood
Confidence: 89.5%

De-identified

ID: P-83672 • Age: 44

NEW
Collected: March 7, 2025
Sample: Whole Blood
Status: Processing

De-identified

ID: P-71450 • Age: 35

Long COVID
Collected: March 6, 2025
Sample: Whole Blood
Confidence: 96.3%

Test Orders

Pending Order

Order #EC-7842 • Created: March 6, 2025

Pending
Patient: James Wilson
Test: ME/CFS Epigenetic Panel
Collection Site: Memorial Hospital Lab

Approved Order

Order #EC-7841 • Created: March 5, 2025

Approved
Patient: Maria Garcia
Test: Long COVID Epigenetic Panel
Collection Site: Memorial Hospital Lab

Completed Order

Order #EC-7830 • Created: March 3, 2025

Completed
Patient: Robert Chen
Test: ME/CFS Epigenetic Panel
Collection Site: Memorial Hospital Lab

Clinical Resources

Interpretation Guide

Comprehensive guide to understanding EpiClassify's epigenetic analysis reports

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Video Tutorial

Step-by-step walkthrough of the test interpretation process

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Treatment Guidelines

Evidence-based recommendations for ME/CFS and Long COVID management

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FAQ for Clinicians

Common questions about EpiClassify's technology and clinical application

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Webinar Schedule

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Patient Resources

Educational materials to share with your patients

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Patient Report

Epigenetic Analysis Report

Sample ID: EP-78942 • Analyzed: March 6, 2025

Patient Information

Name: De-identified
ID: P-78942
DOB: 09/15/1983
Sex: Female
ME/CFS 97.2% Confidence

Classification Results

Primary Classification: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
Model Confidence: 97.2%
Analysis Date: March 6, 2025
Condition Probability Distribution
ME/CFS
97.2%
Long COVID
2.1%
Control
0.7%

Key Epigenetic Markers

Gene CpG Site β-value Ref. Range Status
IFNG cg05818851 0.72 0.40 - 0.60 Elevated
HLA-DRB1 cg17416722 0.31 0.45 - 0.70 Reduced
NR3C1 cg10845147 0.28 0.50 - 0.75 Reduced
FKBP5 cg03546163 0.65 0.30 - 0.55 Elevated
PDK2 cg16304762 0.79 0.35 - 0.65 Elevated

Note: The methylation pattern observed is consistent with immune dysregulation and HPA axis alterations commonly seen in ME/CFS patients. Reduced NR3C1 methylation may indicate glucocorticoid receptor sensitivity issues.

Clinical Interpretation

EPIGENETIC SIGNATURE ANALYSIS
DNA METHYLATION PATTERN DETECTION
PRIMARY FINDING

The methylation profile strongly supports a diagnosis of ME/CFS with high confidence (97.2%). This pattern shows characteristic epigenetic signatures associated with ME/CFS across multiple gene pathways.

Immune Regulation
Hypomethylation of HLA-DRB1 and NR3C1 consistent with altered immune function and response
Energy Metabolism
Hypermethylation of PDK2 suggests metabolic dysregulation affecting cellular energy production
Neurological Patterns
The overall pattern is distinct from Long COVID signatures with characteristic neurological markers
Stress Response
Alterations in stress response genes suggest HPA axis dysregulation
CLINICAL RECOMMENDATIONS
  • These findings provide objective biological evidence supporting ME/CFS diagnosis
  • Consider targeted therapies addressing immune dysregulation and metabolic support
  • Monitor HPA axis function and consider adaptogenic support
  • Recommended follow-up: Comprehensive immune panel, cortisol assessment

This report was generated using EpiClassify's transformer-based epigenetic analysis platform. Results should be interpreted in conjunction with clinical presentation and other diagnostic findings. For questions, please contact laboratory services at (800) 555-7890.

Data Security and Privacy: This report complies with HIPAA GDPR regulations. All data is end-to-end encrypted and securely stored. Access logs are maintained for all patient information.