PhenGenVar: A User-Friendly Genetic Variant Detection and Visualization Tool for Precision Medicine

Area of Science:

• Genomics
• Bioinformatics
• Precision Medicine

Background:

• High-throughput next-generation sequencing (NGS) has transformed precision medicine by enabling large-scale genetic variation analysis.
• Biomedical studies utilize NGS for identifying disease and phenotype-associated genetic variations at the population level.
• Analyzing individual genomic information can reveal genetic variations linked to specific patient phenotypes, aiding clinical diagnosis and treatment.

Purpose of the Study:

• To address the challenge of limited bioinformatics skills among clinical physicians in diagnosing diseases from NGS data.
• To develop a user-friendly program, Phenotype to Genotype Variation (PhenGenVar), for molecular diagnosis.
• To enable flexible filtering and browsing of genetic variants associated with diseases and phenotypes.

Main Methods:

• Development of the Phenotype to Genotype Variation (PhenGenVar) program with a user-friendly interface.
• Analysis of whole-genome sequencing data from an anonymous individual sourced from the 1000 Genomes Project.
• Utilizing PhenGenVar for monitoring gene variations and filtering genomic data.

Main Results:

• PhenGenVar successfully identified various genomic variations, including single-nucleotide polymorphisms, insertions, and deletions, in specific gene regions.
• The program demonstrated its capability to analyze and interpret complex NGS data for diagnostic purposes.
• Testing on 1000 Genomes Project data confirmed the identification of relevant genetic variations.

Conclusions:

• PhenGenVar serves as a valuable tool for molecular diagnosis in clinical settings.
• The program empowers physicians without extensive bioinformatics expertise to utilize genomic data for patient diagnosis.
• PhenGenVar is freely accessible, promoting wider adoption in clinical practice and research.