TogoVar: A comprehensive Japanese genetic variation database.

Area of Science:

• Genomics
• Bioinformatics
• Population Genetics

Background:

• Genetic variation data is crucial for understanding population-specific traits and diseases.
• Existing databases may lack comprehensive allele frequency data for Japanese populations.
• Controlled-access genomic data requires specific reanalysis schemes for public use.

Purpose of the Study:

• To develop TogoVar, a database integrating allele frequencies from Japanese populations.
• To enable comparison of allele frequencies between Japanese and non-Japanese populations.
• To provide comprehensive annotations for variant interpretation and prioritization.

Main Methods:

• Reanalyzing individual-level genome sequence data from the Japanese Genotype-phenotype Archive (JGA).
• Integrating public datasets of Japanese and non-Japanese population genetic data.
• Assigning permanent TogoVar IDs to Japanese population variants.
• Annotating variants with molecular consequence, pathogenicity, and literature information.

Main Results:

• Established a scheme for reanalyzing JGA data to generate public allele frequencies.
• Integrated Japanese and non-Japanese population datasets for comparative analysis.
• Developed a comprehensive annotation system for genetic variants.
• Created TogoVar (https://togovar.org) as a publicly accessible resource.

Conclusions:

• TogoVar serves as a valuable reference for genetic studies in Japanese populations.
• The database facilitates the comparison of genetic variation across diverse populations.
• Integrated annotations in TogoVar aid in the interpretation and prioritization of genetic variants.