Variant table

The results are displayed in the Variant Table. Rows contain the identified variants, and columns contain core annotations for each variant (Variant, Variant type, Class, Genes, Function, Zygosity, Allelic balance, Coverage). However, none of the columns are mandatory, you can choose which ones will be displayed with the "Show/hide columns" icon .

Tip: The column order in the variant table is user-specific, meaning each user can set up own order and visibility of columns.

Moving the mouse over column names containing an info icon will open info pop-ups. The variants can be reordered using other columns by clicking on .

Tabs on the right and on the bottom of the variant table display complementary information. The variant table can be accessed by the user who requested the analysis or by other people belonging to the same group.

Description of main functionalities

Columns for Germline samples

    • Variant: The variant’s sequence and genomic location.
    • Variant type: SNV (single nucleotide variant); for INDELs and substitutions, the number of nucleotides affected are shown.
    • Gene Symbol: Gene used for annotation and classification of  the variant for ACMG (& AMP for somatic samples)
    • (i) User variant classification: custom classification for variants. Custom classification is linked to the variant and will be displayed in other analyses of your group if the same variant is found.
    • ACMG Class: Variants are ordered by our pathogenicity classification:
      • 5 = Pathogenic
      • 4 = Likely pathogenic
      • 3 = Uncertain significance
      • 2 = Likely benign
      • 1 = Benign.
        We reserve classes 5 and 1 for variants that have been annotated as such in ClinVar. If a variant has been annotated as pathogenic (5) or likely pathogenic (4) by ClinVar, this variant will be shown as class 5 or 4 in VarSome Clinical, even if the allele frequency in the population suggests that this variant is unlikely to cause the disease. Note that the variant class refers to how the variant would affect the protein function; a class 5 variant does not necessary need to be the cause of the disease, e.g. if the gene is autosomal recessive and the patient is heterozygous.
    • ACMG Rules: The set of triggered ACMG rules are displayed in clickable bubble icons that include the rule’s description and explanation for triggering.
    • HGVS: HGVS nomenclature for the variant.
    • HGVS Protein: HGVS nomenclature for the protein sequence change compared to the reference.
    • HGVS Coding: HGVS nomenclature for the variant.
    • Transcript position: Variant described on the DNA level in relation to a specific gene based on the coding DNA reference sequence.
    • Overlapping Genes: The name of any gene(s) the variant falls within.
    • Inheritance: Mode of inheritance of the gene from the CGD database:
      • AD: autosomal dominant 
      • AR: autosomal recessive
      • XL: X-linked
      • BG: blood group
    • Function: The position of the variant with respect to the gene it falls within, and its coding effect (if any).


    • Zygosity:


    If the variant did not pass the variant caller quality filter, the zygosity is shown in the table as (failed quality/non- genotyped). For heterozygous genotypes we show a different icon for 0/1 and 1/0 .

    • Allelic balance: Proportion of reads that support the variant.
    • Frequency: Frequency of the variant in the general population or (if applied) the specified ethnicity.
    • Coverage: Number of reads that align to the variant’s position. For analyses of fastq samples, the blue numbers contain links to JBbrowse, showing the read alignments at the variant’s position.
    • Filters: filters that have been applied to the data. Filters are associated with the variant calling quality filters that have been applied to the variant to decide whether it has a call status of PASS or FAIL. 

    Extra columns for Somatic samples

    • AMP Tier: Variants are ordered by an aggregate AMP score (see AMP Implementation documentation for more details), from most pathogenic to benign.  Tier I = Cancer with approved drug therapies, Tier II = Cancer but no approved therapy, Tier III = Uncertain Significance, Tier IV = Benign or not related to cancer.
    • AMP Rules: The set of triggered AMP rules are displayed in clickable bubble icons that include each rule’s description and explanation for triggering
      • Sample Metrics:Each icon represents the sample information introduced by the user. They light up when there is data in one of the cancer-related databases matching the variant to the relevant sample characteristic:
        • Cancer type: this highlights any variants for which evidence is found linking to the same cancer type as the sample.
        • Tissue: This will highlight any evidence associating the variant or gene to the sample tissue.
        • Age: This will display the patient's age relative to an age histogram for certain cancer types.
        • Ethnicity: It will report the variant's frequency in the relevant ethnic group.
        • Sex: more than 50% of reported cases across somatic sample databases match the sample’s sex.
        • Variant Allele Frequency: The VAF of this variant in this sample is under 30%, indicating a tumor variant
      • Somatic Samples: Sum of available affected samples from databases included in Cancer Aggregator (ICGC Somatic, COSMIC, CBioPortal, Cancer HotSpots, GDC)


      On the right of the Variant Table:

      • Multi: this tab is only shown in multi-sample analyses. It displays the name of each multi-sample component and the affected status.
      • Frequencies: If known, Gnomad frequencies for the selected variant and for any other known variants that overlap with it.
      • Clinical: ClinVar and Cosmic annotations for the selected variant nd for any other known variants that overlap with it.
      • Transcripts: Chromosomal location, link to UCSC genome browser, dbSNP (rs number), Refseq transcripts containing the variant, HGVS notation, etc.
      • Genes: Information about the gene(s) affected by the variant, and links to multiple external databases: ExAC genes, Gene expression, Drug-Gene Interaction database (DGI), etc.
        • Cancer Databases: PMKB, CIVIC, CGC, JAX CKB
        • Drugs Databases: PharmGKB, AACT Clinical Trials, DGI, FDA
      • CGD & HPO: Clinical Genome Database (CGD) and Human Phenotype Ontology (HPO) annotations.
      • #Samples: This tab shows the number of samples in which a specific variant has been found. This column is updated over the weekend. The number of homozygotes and heterozygotes in VarSome Clinical for the variants are shown, but only sample IDs of samples analysed by you and your group are reported.
      • Nearby variants: Variants in the genomic neighborhood of the selected variant. This variant list is not affected by the filters applied to the sample.
      • Drugs: Information retrieved from Drugs databases: PharmGKB, AACT Clinical Trials, DGI, FDA related to a selected variant.
      • Clinical trials: Information retrieved from AACT Clinical Trials related to a selected variant.
      • Audit Trail: Shows the record of the actions that have been made from all users of a group on the samples analyzed.

      On the bottom of the Variant Table: 

      (Please, note that grayed out tabs are disabled if no related information is available)

      • ACMG: The ACMG Classification and triggered rules for the selected variant.
      • UniProt Variants: variant information from UniProt.
      • Region Browser: Genomic region browser, lollipop graph of the pathogenicity of each variant, frequencies from gnomAD and Bravo, variant visualization with filtering according to databases and coding impact. 
      • ClinVar: Records from ClinVar about the selected variant.
      • Kaviar: Records of known variants from Kaviar about the selected variant.
      • Gnomad Exomes & Gnomad Genomes: gnomAD frequencies and coverage.
      • Bravo: Variant summary of the selected variant from Bravo variant browser.
      • Mitomap: Information from the Human Mitochondrial Genome Database.
      • 1000 Genomes: Information on common human genetic variation from the 1000 Genomes Project (please, note that this tab is grayed out for recent analysis as 1000 Genomes information is already contained in the gnomAD project).
      • GWAS Catalog: Associations of specific genetic variations with particular diseases from the genome-wide association study (GWAS) database.
      • GTEx: Tissue-specific gene expression data from the Genotype-Tissue Expression (GTEx) project.
      • PharmGKB: Information on the impact of genetic variation on drug response from PharmKGB database.
      • In Silico Predictions: Predictions of pathogenicity based on combined evidence from multiple in-silico predictors.
      • Conservation Scores: Conservation scores from different resources.
      • Publications: Publications from PubMed related to the selected variant or gene where genes, variants, diseases, phenotypes, chemical compounds, drugs (if exist) are tagged by our internal AI tool.
      • Community: VarSome community public contributions.

      Additional tabs for tumor analyses:

      • AMP classification: The AMP tier and the set of triggered rules for the selected variant.
      • JAX CKB: Somatic gene variant annotations and related content provided by The Jackson Laboratory Clinical Knowledgebase.
      • CIVIC: Somatic variant annotations retrieved from CIViC.
      • PMKB: Clinical interpretations of somatic variants retrieved from PMKB.
      • Cancer Aggregator: Aggregated information across different data sources.
      • Cosmic: Somatic variant annotations from COSMIC database.
      • ICGC Somatic: Somatic variant annotations from ICGC database.
      • Cancer Hotspots: Somatic annotations from Cancer Hotspots database
      • GDC: Somatic variant annotations from GDC database. 
      • CBioportal: summary of samples matched in cBioPortal with the selected somatic variant.
      • IARC TP53 Somatic & Germline: somatic annotations of TP53 gene mutations in human cancers.

      Some useful icons:


      • Clicking on the filter icon opens the Filters menu where you can manage Filter Sets. To exit the menu, simply press "Esc" on your keyboard.

      • Click on the arrow icon to see the list of variants selected for export.


      Green menu:


        • Search: You can search through your results by querying according to the VarSome search format. The query can include any of the following: 
            •  gene: e.g. PIK3CA,
            • chromosome: e.g. chr3 or 3
            • chromosome position: e.g. chr3:178947865, chr3-178947865, chr3 178947865 or 3 178947865.
            • genomic range: e.g. chr3:178936091:178942431, chr3-178936091-178942431, , chr3 178936091 178942431 or 3 178936091 178942431.
            • variant (DNA): e.g. chr3:178936091 G⇒A, chr3:178936091-G-A, chr3-178936091-G-A, chr3 178936091 G A, 3:178936091 G⇒A, 3:178936091-G-A…
            • variant (HGVS): e.g. NM_004448.4:c.1947-3C>A
            • variant (protein): e.g. BRAF:V600E or BRAF V600E.
            • rsIDs ("rs" followed by a number) 
            • COSMIC IDs

        This will filter the table and show only the results for that query.


        • Clear search: This will empty the search box and show all variants again. 


        • Reset variant list to original order: Clicking on this icon resets the sorting order of the columns to the default (the variants will be ordered by Class). 


        • Multiple sort: The list of variants can be sorted by multiple columns. A pop-up window will appear and multiple columns of interest can be selected in order to sort the variants in ascending or descending order.


        Note: Multiple column sorting will return informative results as long as the first column, which is selected to sort the variants, has numeric values (Frequency, number of samples, Phenotypes etc). For example, the user should not sort first by “AMP Tier” or “ACMG Class” and then sort by other values like allelic balance, frequency, etc. 

        • Display variants matching classification: Filters for custom variant classifications.


        • Add or edit your variant classifications: Open the Custom Tag creation menu. Custom tags allow you to classify variants using user-defined tags.


        • Columns: Remove or add columns to the table. This functionality can be used to remove columns that are not relevant for the analysis. 


        • Download all filtered variants from the table below (max 50000) in Excel format: Download the list of variants (max. 50000) that pass any currently applied filters in Excel format. The Excel file also contains information about the filters used to obtain the exported table.

        Blue menu:


        • Open results in linked window: inspect analysis results on more than one monitors (please find detailed information in the following article: How can I inspect my analysis results on more than one monitors?)
        • Classify variants: add your own classification to a variant.
        • VCF attributes: pop-up window describing the quality details for each software tool used to identify the variants.
        • Transcripts: pop-up window with all the RefSeq transcripts containing the variant. It also shows the location of the variant (intron/exon, amino acid position), its HGVS notation, and genomic function (intronic, exonic, splicing, UTR ...). Canonical transcripts are shown in red.
        • Comments: It is possible to attach a short comment to a selected variant (long comments will not be added and will return an error message). These comments will be linked to the variant and will be displayed in other analyses if the same variant is found. Variants with comments will have an  icon in the Variant column. Comments are shared only within your group, unless you decide to make your comments public by selecting the “Share comment outside your group” option. You can also select the “The comment is specific to this sample only” option and the comment will be available only to this specific sample analysis. If however the variant is present in other analyses, the sample specific comment will not be shown.
        • View in VarSome: link to our free knowledge-base and database aggregator, VarSome.
        • Select for export

           You can download a clinical report of the selected variants in PDF format. To do so, click on the       arrow icon , then select   and you will be directed to the following screen:

                 By clicking on the icon, a Report widgets menu will be shown.

        • Gene coverage: a pop-up window showing the average coverage for the selected gene and its different transcripts. Clicking on the nodes will expand or collapse the tree.


        Also, by clicking on one of the Exons, a new tab will open with a Jrowse( window showing the alignment details from the analysis’ bam files. JBrowse is a software tool installed on our secured servers.


        • Read Alignment: Opens a new tab with a JBrowse representation of the BAM files (more in FAQs: What is represented in JBrowse?)


        Analysis actions: is described here


        Description of CNV analyses functionalities

        CNV/SV analysis Variant Table contains the following information:

          • Length: the length in bp of the region considered as a structural variation.
          • Call quality: Three quality control metrics collected for CNV analyses starting from FASTQ data (e.g. WES or gene panel). Each CNV call is assigned a set of three “traffic-lights”, which are colored green or red, depending on meeting the quality control criteria. The first and second traffic-lights will be greyed out for CNV results of analyses starting either from VCF or WGS data. From left to right, these are:
          • Test sample coverage: this quality control metric ensures a minimum coverage of the test sample at the CNV call region when calling duplications. Green: duplications with a coverage at least equal or higher than the minimum coverage threshold* (please note that all deletions pass this filter and therefore will always have a green colour). Red: duplications with a coverage lower than the minimum coverage threshold.
          • Number of reference samples: this is to ensure that a minimum number of samples from the reference set have a minimum coverage* in the CNV call region. Green: the reference sample set has at least two samples with  coverage higher than the minimum coverage threshold, in the CNV region. Red: fewer than two reference samples with sufficient coverage in the CNV call region*.
          • CNV call overlapping camouflaged region: this is to check whether an overlap exists between the region of the CNV and the Camouflaged Regions. Camouflaged regions contain duplicated genomic sequences where confidently aligning short reads to a unique location is not possible.  Green: no overlap. Red: overlap with a Camouflaged Region (Ebbert et al., 2019)

        *Minimum coverage threshold (number of reads): the lowest value between 10 or sample median coverage/10.

        • User CNV classification: custom classification for CNV variants for ACMG and AMP rules. For user-submitted VCFs with CNVs, only variants with a copy number value can be manually classified.
        • Copy Number: estimated copy number of the CNV call calculated from the reads expected vs reads observed ratio assuming a diploid state.
        • Type: deletions, duplications, copy number variants and insertions.
        • Genes: genes overlapping the CNV region.
        • Number of genes: number of genes overlapping the CNV call region.
        • Quality Score: a measure of statistical support for each CNV call. Specifically, it is the log10 of the likelihood ratio of data for the CNV call divided by the null (normal copy number). The higher the Quality Score the more confident one can be about the presence of a CNV. While it is difficult to give an ideal threshold, and for short calls the scores may be unconvincing, the most obvious large calls should be easily flagged by ranking them according to this score.
          • For CNVs from VCF, provided for annotation only, the Quality Score displays the QUAL value from the VCF (if included).
          • For WGS CNV analyses, it is the quality score as given by  DELLY.
        • ACMG CNV class and CNV rules: the ACMG CNV classification and the set of triggered ACMG rules. These rules are displayed in clickable bubble icons that include the rule’s description and explanation for triggering.
        • Number of exons: number of exons overlapping the CNV region.
        • Reads  expected, reads observed and reads ratio: these columns contain the values for each CNV of the reads expected, the reads observed, and the read ratio (reads observed / reads expected). 
        • Frequency: frequency of overlapping CNVs in the same genomic region. The gnomAD database is used to get the general population frequencies for a given structural variant. Depending on the type of variant, the frequencies are calculated as follows:
          • Deletions: we use gnomAD variants if they fully overlap with the given variant.
          • Duplications in coding regions: we compare at the gene level and we use those gnomAD variants that encompass the same coding genes as the given variant.
            • Duplications in non-coding regions: we use gnomAD variants if they are at least covering 85% of the variant region.


          CNV tabs

          • Genes: the gene information for all the genes overlapping the CNV region is available at the right side of the window unde the “Gene” option.

          • Transcripts: A list of all the affected transcript positions that overlap with each CNV is displayed on the right of the Variant Table, under the "Transcripts" tab.

          • ACMG: in this tab we show the ACMG CNV classification and the set of triggered ACMG rules. Click on “Show full detail” to find out the criteria not met.
          • CNV Browser: an interactive browser showing a wider region around the position of the CNV call as well as its location on the chromosome level. The user can zoom in and out using the mouse scroll and select among different chromosomes, genomic positions, samples and CNV calls. Data points represent read ratios (observed/expected read counts). These are colored blue or red, depending if they fall within the grey shaded area 95% confidence interval or not, respectively. Call genomic location is indicated by coordinates and annotated for overlapping gene structures (exons/introns). The coverage track, at the bottom of the interactive plot, shows the trend of the coverage on logarithmic or linear scale across all cohort samples. On the right of the graph there is useful CNV call information including genomic location and span, as well as links to the same region in other analyses of the same cohort.

          • CNV plots: we provide a CNV plot, showing how the observed read depth in the area of the CNV differs from the expected. The CNV plots are generated using a modified version of the ExomeDepth tool. You can find further information regarding CNV visualization.
          • Known CNVs: we display only the relevant CNVs for the classification according to the following criteria: 
            • CNV deletions: we retain those that fully overlap with the given CNV for gnomAD variants. For CNVs coming from clinical sources (Decipher, DBVar, ClinVar CNVs) we use the overlapping CNVs if they are benign and the contained CNVs if they are pathogenic.
            • CNV duplications: we keep only the CNVs encompassing the same coding genes. If the CNV is non-coding, then we retain the CNVs that have at least 85% of overlap.