India Allele Finder: A web-based annotation tool for identifying common alleles in next-generation sequencing data of Indian origin

Jimmy F. Zhang, Francis James, Anju Shukla, Katta M. Girisha, Alex R. Paciorkowski

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Objective: We built India Allele Finder, an online searchable database and command line tool, that gives researchers access to variant frequencies of Indian Telugu individuals, using publicly available fastq data from the 1000 Genomes Project. Access to appropriate population-based genomic variant annotation can accelerate the interpretation of genomic sequencing data. In particular, exome analysis of individuals of Indian descent will identify population variants not reflected in European exomes, complicating genomic analysis for such individuals. Results: India Allele Finder offers improved ease-of-use to investigators seeking to identify and annotate sequencing data from Indian populations. We describe the use of India Allele Finder to identify common population variants in a disease quartet whole exome dataset, reducing the number of candidate single nucleotide variants from 84 to 7. India Allele Finder is freely available to investigators to annotate genomic sequencing data from Indian populations. Use of India Allele Finder allows efficient identification of population variants in genomic sequencing data, and is an example of a population-specific annotation tool that simplifies analysis and encourages international collaboration in genomics research.

Original languageEnglish
Article number233
JournalBMC Research Notes
Volume10
Issue number1
DOIs
Publication statusPublished - 27-06-2017

All Science Journal Classification (ASJC) codes

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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