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VarAFT


Variant Annotation and Filter Tool

ABOUT VarAFT


The identification of disease-causing mutations in human genetics remains challenging despite the NGS revolution as up to 70% of cases are still unsolved. To tackle this challenge, we developed the VarAFT software to improve annotation and filtration steps.

VarAFT provides experiments’ quality, annotates, and allows the filtration of VCF files. Data from multiple samples may be combined to address different Mendelian Inherited Disorders, Population Genetics or Cancers. It contains unique features including data from OMIM, HPO, Gene Ontology, pathways and predictions from UMD-Predictor and Human Splicing Finder in addition to classical annotations from dbNSFP that can be combined to optimally select candidate pathogenic mutations.

VarAFT is a standalone and multiplatform (Windows, Mac, Unix) system which is easy to install and easy to use. It does not require skills in informatics or a powerful computer.

VarAFT is developed by the Genetics and Bioinformatics team at INSERM UMRS_910 in the Medical School of la Timone Aix-Marseille University in Marseille, France. The VarAFT system is freely available to non-commercial users.

If you are using VarAFT in your projects, please cite: Manuscript is in preparation (reference will be available here). Now you can provide the link and version used as follow: VarAFT 2.10 (http://varaft.eu)

Latest Changes


Version 2.10: August 2017
  • Annovar Update
  • New data from dbNSFP3.3, gnomAD, GME DB
  • Update data (OMIM,Gene Ontology,KEGG..)
  • New module with HPO
  • New Pathway/HPO filter module
  • Filter based on a BED file
  • New Download Module
  • New Auto Filtering Module
  • Annotation and filtration of CNV data
  • Compatibility with previous annotated files
  • Version 2.06: February 2017
  • corrects a major issue with varaft server connection, specially for the first utilisation
  • Version 2.05: November 2016
  • Update Documentation (pdf)
  • Bugs Correction for export in varaft format
  • OMIM update
  • Use HSF webservice (beta version)
  • Solved issues with the conf file and settings
  • Version 2.04: August 2016
  • Better performance for Coverage Analysis in custom mode
  • Bug correction for the associated action of button "Get Compound Heterozygous" in the Filter Module
  • Version 2.00: June 2016
  • HG38 available (New ANNOVAR Version)
  • New Data Available (Kaviar, HRCR, OMIM ...)
  • Create your own local snp database
  • Coverage Analysis Module Optimized
  • Multithreaded process
  • VCF Multi Samples allowed
  • Tissues Expression from GTEx
  • Various gene score (RVIS, GDI, LoF, GHIS)
  • DMG, DEB and RPM availables for installation
  • and more ...
  • Download


    Tutorials


    Settings

    tuto1
    This video shows you how to set VarAFT.

    Download Database

    tuto2
    This video shows you how to download Annovar database.

    Annotation

    tuto3
    This video shows you how to annote your VCF.

    TRIO Recessive Analysis

    tuto4
    This video shows you how to analyze a TRIO.

    Coverage Analysis

    tuto5
    This video shows you how to perform a coverage analysis.

    FAQ


    Different reasons can explain that:
    • Depending on your system, the time required for IGV to load differs. So if you constat the BAM file never load, launch first IGV prior to the analysis.
    • If you try to upload a BAM file present on a distant server you need to upload it into IGV directly on IGV.
    • Check if the bai file corresponding to your bam file is present in the same directory.
    By default, VarAFT uses 4GB of RAM. If your system has less than 4GB of RAM and/or is a 32bits system you need to launch VarAFT with the VarAFT_min.exe file present in the VarAFT directory. However you should know that some options will be disabled such as Coverage analysis for whole exome and multi samples (>6) analysis in CUSTOM (without prefiltered files).
    To solve this issue, remove or rename the varaft.conf file situated in your user folder in VarAFT_conf folder. When you will restart VarAFT, this file will be regenerated by default.

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    They cite VarAFT


    Exome sequencing identifies recurrent BCOR gene alterations and the absence of KLF2, TNFAIP3 and MYD88 mutations in splenic diffuse red pulp small B-cell Lymphoma
    L Jallades & al - Haematologica - 2017

    Macrothrombocytopenia and dense granule deficiency associated with FLI1 variants: ultrastructural and pathogenic features
    Paul Saultier & al - Haematologica - 2017

    Exome sequencing reveals a de novo POLD1 mutation causing phenotypic variability in mandibular hypoplasia, deafness, progeroid features, and lipodystrophy syndrome (MDPL)
    S Elouej & al - Metabolism - 2017

    Exome sequencing identifies two variants of the alkylglycerol monooxygenase gene (AGMO) as a cause of relapses in visceral leishmaniasis in children, in Sudan.
    S Marquet & al - The Journal of Infectious Diseases - 2017

    Genetic Characterization of a French Cohort of GNE-mutation negative inclusion body myopathy patients with exome sequencing
    M Cerino & al - Muscle & Nerve - 2017

    Le séquençage d'ADN à haut débit en pratique clinique
    C Lacoste & al - Archives de Pédiatrie - 2017

    A heterozygous ZMPSTE24 mutation associated with severe metabolic syndrome, ectopic fat accumulation, and dilated cardiomyopathy
    D Galant & al - Cells - 2016

    How to identify pathogenic mutations among all those variations: variant annotation and filtration in the genome sequencing era
    D Salgado & al - Human Mutation - 2016

    Clinical Interpretation of Variants from Next‐Generation Sequencing: The 2016 Scientific Meeting of the Human Genome Variation Society
    WS Oetting & al - Human Mutation - 2016

    Coverage analysis of lists of genes involved in heterogeneous genetic diseases following benchtop exome sequencing using the ion proton
    C Lacoste & al - Journal of Genetics - 2016

    Novel heterozygous mutation in ANO3 responsible for craniocervical dystonia
    M Miltgen & al - Movement Disorders - 2016

    Comparing targeted exome and whole exome approaches for genetic diagnosis of neuromuscular disorders
    S Gorokhova & al - Applied & Translational Genomics - 2015

    A mutation in the Gardos channel is associated with hereditary xerocytosis
    R Rapetti-Mauss & al - Blood - 2015

    Exome sequencing as a second-tier diagnostic approach for clinically suspected dysferlinopathy patients
    M Bartoli & al - Muscle & Nerve - 2014

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