Many genetic tests are performed as panels (indicated by the Test Method in the national genomic test directory). This is a targeted approach that looks at a specific, pre-defined group of genes in a sample. Some panels can also be run virtually as part of whole genome sequence testing.
PanelApp (opens in a new tab) allows you to see which genes are studied as part of approved NHS genetic tests, which can inform your clinical decision making, and which may be useful in making requests for additional analysis or further testing.
- You will need the Clinical Indication or Test ID (R code) for your test as listed in the national genomic test directory (opens in a new tab).
- Go to PanelApp (opens in a new tab) and select Panels form the top menu (Figure 1).
- Using the panel search bar, search for clinical indication or Test ID or use the term ‘GMS’ to browse all panels associated with the national genomic test directory (Figure 2).
Note: When clicked on from the search list, panels associated with the national genomic test directory are clearly indicated with a blue panel at the top of the page.
- You can use the green ‘Download Signed-off Version’ button to download and view details of the genes included in each panel. (Figure 3)
Downloaded files can be viewed as spreadsheets in Microsoft Excel
Useful columns include:
GEL_Status – A traffic light system for strength of association between gene and disease (see below). Only green genes are analysed and reported within the NHS.
Version – Indicating the version of the panel the gene is included in.
Note: You can scroll down the page to view current genes in the panel but this may not be the version that is currently signed-off for NHS use. This is why you should use the Download button.
- More details about each gene are included in the download or can be viewed by clicking them on the page. This includes curated evidence on the links between genes and diseases.
- The strength of association between a gene and a disease is rated using a traffic light system. Only those with a green (high) association are analysed and reported as part of NHS testing.
You can register to become a reviewer for the PanelApp and help to curate the inclusion of genes in panels. Find out how to become a reviewer (opens in a new tab).