PSEA

PSEA evaluates phenotypic similarity using the Human Phenotype Ontology and Information Content to prioritize candidate disease-causing genes and variants from next-generation sequencing (NGS) data.

Key Features:

• Phenotypic Similarity Evaluation: Uses the Human Phenotype Ontology (HPO) and Information Content (IC) to assess and quantify phenotypic similarity among HPO term groups.
• Optimal Performance and Robustness: Demonstrates superior phenotypic similarity performance compared to existing methods and tolerates phenotypic noise and incompleteness.
• Gene Prioritization: Prioritizes candidate genes and aligns NGS-derived genetic variants with patient phenotypes to identify likely Mendelian disease causes.

Scientific Applications:

• Mendelian Disease Diagnosis: Aligns NGS-derived variants with patient phenotypes to support diagnosis of Mendelian disorders.
• Research and Development: Supports identification of potential disease-causing genes and investigation of genetic disease mechanisms.

Methodology:

Applies an ensemble approach to evaluate HPO term groups and quantifies phenotypic similarities using Information Content to match patient phenotypes with disease-causing variants.