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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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TogoVar: A comprehensive Japanese genetic variation database.

Nobutaka Mitsuhashi1, Licht Toyo-Oka2,3, Toshiaki Katayama4

  • 1Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, University of Tokyo Kashiwanoha-campus Station Satellite 6F, 178-4-4, Wakashiba, Kashiwa, Chiba, 277-0871, Japan. mitsuhashi@dbcls.rois.ac.jp.

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Summary
This summary is machine-generated.

TogoVar is a new database providing allele frequencies for Japanese populations, aiding genetic studies. It integrates data to compare Japanese and non-Japanese variant frequencies, enhancing variant interpretation.

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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.