Enrichment analysis applied to disease prognosis

Area of Science:

• Genomics and Bioinformatics
• Computational Biology
• Medical Informatics

Background:

• Enrichment analysis is a standard transcriptomics tool for identifying biological features in gene sets.
• Disease prognosis, especially for genetically influenced conditions, requires identifying patient subgroups and predicting disease-related events.
• Hypertrophic cardiomyopathy (HCM) serves as a case study due to its genetic basis and the need for improved prognostic tools.

Purpose of the Study:

• To adapt and apply enrichment analysis for disease prognosis, specifically identifying clinical and biological features that characterize patient groups.
• To assess the feasibility of using enrichment analysis as a preliminary step in a disease prognosis methodology.
• To distinguish between patient groups associated with disease-related events using data mining.

Main Methods:

• Utilized enrichment analysis on genetic data from hypertrophic cardiomyopathy (HCM) patients.
• Compared patients who experienced sudden cardiac death with those who did not.
• Performed enrichment profiling to characterize patient groups by mutations and differential enrichment to identify distinguishing features.

Main Results:

• Preliminary results show that enrichment analysis, using genetic data and Gene Ontology, successfully characterizes HCM patient groups.
• Identified gene functions commonly altered in HCM patients, reflecting existing knowledge.
• The adapted enrichment analysis demonstrated potential in differentiating patient subgroups based on genetic mutations.

Conclusions:

• Enrichment analysis shows promise as a component of a disease prognosis methodology, particularly for genetically complex diseases like HCM.
• The preliminary findings suggest that this approach can characterize patient groups and identify features relevant to disease events.
• Further validation with clinical data alongside genetic data is necessary to fully evaluate the prognostic potential of enrichment analysis.