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Visualisations

The visualisations are shown by default when you open the somatic structural and copy number variant list page. To hide, adjust the width or make the visualisations full screen, see Variant List Somatic SV and CNV

The visualisations allow you to:

  • See the locations of somatic structural variants
  • See an overview of all the affected genes
  • See the large copy number changes and the data supporting those
  • Navigate to specific regions to investigate the supporting data further

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Info

Data has been hidden from these plots to protect patient identity.

Key
# Section Description
1 Toolbar The toolbar allows you to navigate the visualisations. You can zoom in or out at different intervals, or move left or right at different intervals when zoomed in, you can go back to the whole genome overview by clicking the refresh icon.
2 Cytobands Shows the location of the chromosomes and related cytogenetic bands.
3 Plot arrows The order of the plots can be moved up and down using the arrows. A greyed out arrow indicates the plot cannot be moved in the specified direction. All plots are moveable, including the gene track.
4 Tumour structural variants Illustrates the somatic structural changes in domain 1, 2 and 3. This plot will show all the structural variants within the applied filter set on the variant list and will update what’s shown once new filters have been applied.
5 Gene Track Illustrates the position of the affected genes. The blue arrow shows the direction. By default, we prioritise genes that are indicated for testing in the patient’s clinical indication. As you zoom to more specific regions and more horizontal space is available, more genes will appear in following priority:
1. Genes indicated for testing in patients clinical indication
2. Genes indicated for testing in patient’s clinical indication group
3. Genes present in Cancer Gene Census or National Genomic Test Directory
4. All other genes
Hovering over the gene name will reveal a functional description from NCBI Refseq. As you zoom, the gene layout will become visible, exons are shown as blocks, intron regions as lines. Untranslated regions are half sized blocks shown in grey. You can hover the layout to see the exon count.
6 Tumour Coverage Coverage for the tumour sample is calculated using Canvas and the y-axis shows the actual depth of coverage. The data is averaged across 500kb windows. The expected values on the coverage and b-allele plots are plotted in black. To understand how they are calculated, please refer to the Cancer Genome Analysis Guide for details.
7 Tumour B-allele frequency This plot evaluates how well the model predicts haplotypes by showing the observed B-allele frequency as well as the predicted based on the CN calls. The data is averaged across 100kb windows. To understand how they are calculated, please refer to the Cancer Genome Analysis Guide for details.
8 Tumour Absolute Allele count On Absolute Allele Counts plot, the total allele counts are indicated with solid thick lines and minor allele counts are indicated with solid thin lines. The dashed line indicates overall ploidy estimate. The maximum copy number shown is capped, see the Cancer Genome Analysis Guide for details.
9 Germline Coverage Coverage for the germline sample is calculated using Dragen and the y-axis shows the actual depth of coverage. The data is averaged across 500kb windows. The expected values on the coverage and b-allele plots are plotted in black. To understand how they are calculated, please refer to the Cancer Genome Analysis Guide for details.
10 Germline B-allele frequency This plot shows the observed B-allele frequency data averaged across 500kb windows. To understand how this is calculated, please refer to the Cancer Genome Analysis Guide for details.
11 Germline Absolute Allele count On Absolute Allele Counts plot, the total allele counts are indicated with solid thick lines and minor allele counts are indicated with solid thin lines. The dashed line indicates overall ploidy estimate. The maximum copy number shown is capped, see the Cancer Genome Analysis Guide for details.

Tumour structural variant plots

This plot illustrates the prediction of structural variants called by the Manta SV caller. Deletions are shown in pink, inversions are shown in black, translations are shown in grey, insertions are shown in purple, duplications are shown in blue. The height of the structural variant is defined by the quality score, calcuated by Manta.

Info

The SV plot may appear crowded for tumours with many overlapping structural variants. We are currently investigating whether we can make the SVs in these plots easier to distinguish from each other. In the meantime, users can apply filters to the SV plot to remove any SVs that are not of interest.

Tumour copy number variant plots

These plots illustrate the predictions of large copy number changes as calculated by Canvas as well as the raw data supporting those predictions. CNV losses are indicated in pink, CNV gains are indicated in blue, high CNV gains of five copies and above are indicated in green, copy-neutral LOH regions are indicated in orange. Copy number neutral areas are indicated in black and regions where no data is available are indicated in grey.

Germline copy number variant plots

These plots illustrate the predictions of large copy number changes as calculated by Dragen as well as the raw data supporting those predictions. CNV losses are indicated in pink, CNV gains are indicated in blue, high CNV gains of five copies and above are indicated in green, recurrent or non-pass CNVs are indicated in purple. Copy number neutral areas are indicated in black and regions where no data is available are indicated in grey.

Highlighting variants

You can see the associated call of each structural variant on the plot by clicking it. This will show the associated variant in the table on the left. Clicking a structural variant on the list on the left, will highlight it on the plot by making the line bolder. Only structural variants can be highlighted.

You can navigate to specific regions in the plot in various ways:

  1. Click the coordinates of the breakpoints or regions in the table on the left
  2. Click the chromosome number in the chromosome track
  3. Click the cytogenetic band in the cytoband track
  4. Use the zoom, move or reset controls in the toolbar on top of the plots
  5. Scroll up or down with your mouse when your cursor is in one of the plots to zoom in
  6. Clicking and dragging the cursor left or right to move left or right

Moving Plots

The order of the plots can be moved up and down as desired using the corresponding plot arrows. A greyed out arrow indicates the plot cannot be moved in the direction indicated. All plots are moveable, including the gene track.

  1. To move a plot, simply click the plot arrow that corresponds to the desired direction.
  2. Continue to click the plot arrows until the plot is in the desired place.
  3. Refreshing the page will reset the plots to their original positions.

Potential errors

When the data for the plots can’t be loaded, you will see an error message as seen below. Try reloading the page, if that doesn’t solve the problem, get in touch with support via the Genomics England Service Desk.

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Last update: 2023-12-06