Welcome to the Genetic Therapy Generator Toolkit, please specify one or more variants in a single HGVS description below:
error Not a valid HGVS description
Unexpected character end of input
sitemap.xml
^
Expecting:
- ':' between the reference part and the coordinate system
- a reference / selector ID
- '(' for an uncertainty start or before a selector ID
The input must be an allele in HGVS format, describing variants on an Ensembl transcript.
| Variant | Explanation |
|---|---|
| ENST00000375549.8:c.100del | Frameshift deletion in exon 2 of SHDH |
| ENST00000357033.9:c.2500del | Frameshift deletion in exon 20 of DMD |
Here will be an option to export the report, either as a stand alone html page or a PDF document
The Genetic Therapy Generator Toolkit helps users determine whether a given variant (or set of variants) can be corrected with a genetic therapy. Rather than relying on explicit guidelines about which kinds of variants can be treated, GTGT simulates the effect of every possible therapy and ranks the therapies based on how many of the transcript features are restored.
Because of this unique approach, GTGT can identify possible therapies when it appears none are available, for example by skipping upstream or downstream exons to restore the reading frame, or by skipping adjacent exons (experimental).
The first two entries on the results page will always be the analysis of the Wildtype and Input versions of the transcript. Each entry contains the name, HGVS notation and short description of the therapy. The most important section is the Annotation overview, which lists the percentage of each feature of the transcript that remains after the mutations (and therapy) have been applied. The Exons feature refers to all bases that make up the exon. When GTGT skips an exon, the bases of the exon will be removed from the Exons feature, which can be seen from the percentage and the remaining basepairs. The Coding exons refer to the bases that make up the coding sequence of the transcript. Changes in the Coding exons take the actual predicted protein changes in the transcript into account. For example, in the case of a frameshift variant all bases after the frameshift will be removed from the Coding exons feature, but not from the Exons.
The extended documentation for this tool can be found on https://gtgt.readthedocs.io.
The Genetic Therapy Generator Toolkit has been developed by the Dutch Center for RNA Therapeutics, who have committed to continue to fund the development of GTGT until at least June 2027.
GTGT can be installed locally via PyPi, or you can install the development version from Github. We welcome contributions, bug reports and other feedback on GitHub or via an email to DCRT@LUMC.nl.
GTGT is free to use and redistribute under the conditions of the GNU Affero General Public License v3.0.
Copyright© 2023 LUMC https://www.lumc.nl
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