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Xiaolei Zhang1,2, Eric V Minikel3,4, Anne H O'Donnell-Luria3,4,5

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Summary
This summary is machine-generated.

This software simplifies genetic variant analysis by converting raw ClinVar data into easy-to-use tables. It integrates allele frequencies, making complex genomic data more accessible for researchers.

Keywords:
ClinVarMendelian diseaseXML parsingpathogenic variantsvariant interpretation

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • ClinVar is a crucial database for human genetic variants and their clinical significance.
  • Analyzing raw ClinVar data can be challenging due to its complex format.
  • Integrating variant data with population frequencies is essential for accurate interpretation.

Purpose of the Study:

  • To develop a software pipeline for processing raw ClinVar data.
  • To create analysis-friendly tab-delimited tables from ClinVar.
  • To enhance these tables with population allele frequencies from ExAC and gnomAD.

Main Methods:

  • Developed a data conversion pipeline for ClinVar files.
  • Generated separate tables for GRCh37 and GRCh38 human genome builds.
  • Integrated allele frequency data from ExAC and gnomAD datasets.

Main Results:

  • Successfully converted raw ClinVar data into tab-delimited tables.
  • Provided processed tables for the latest ClinVar release.
  • Tables include data for mono-allelic and multi-allelic variants, augmented with allele frequencies.

Conclusions:

  • The software repository offers a streamlined approach to accessing and analyzing ClinVar data.
  • The generated tables are compatible with common bioinformatics tools like R, Python (pandas), and SQL.
  • This facilitates easier interpretation of genetic variants in research and clinical settings.