A score from the
sequence itself
IllustrativeOur models compare how likely the original and the changed sequence are. A sharp drop suggests the change disrupts function.
GENEDORA scores DNA variants from the sequence itself. Labs get a clear, explainable call on variants of uncertain significance, without relying on population databases that under-represent African genomes.
Possible point variants:
0.0B
Each one scorable_
An interpretation layer for DNA variants. It reads the genome directly and tells you how likely a change is to break something.
Our models compare how likely the original and the changed sequence are. A sharp drop suggests the change disrupts function.
Scores don't depend on how often a variant appears in reference populations, so under-studied ancestries aren't penalised.
Every call ships with the evidence behind it, ready for a geneticist to review.
Built for real
lab workflows.
Why it matters
We're starting with African genomes: the most genetically diverse on Earth, and among the least represented in the data clinicians rely on.
Most variant databases were built from people of European ancestry. Common, harmless variants in other populations can look rare, and therefore suspicious.
Patients from under-represented groups receive more “variants of uncertain significance”: answers that can’t guide care.
Our models learned the grammar of DNA itself. They don’t need to have seen a variant in anyone before to score it.
Our approach
Most tools ask how common a variant is. GENEDORA asks what it does, using models that learned the grammar of DNA from genomes across all domains of life.
Scores come from the DNA itself, not from how often a variant shows up in a database.
Rare and novel variants get a score too, including ones no one has catalogued yet.
No population frequencies in the score, so under-represented groups aren’t penalised.
Each result explains itself, ready for a geneticist to review and sign off.
Methodology and validation results are available to partners on request.
How it works
Send a VCF or a list of HGVS variants through the dashboard or API.
Our models read the genomic context around each variant and measure how much the change disrupts it.
Get a calibrated classification with its evidence, ready to fold into your ACMG workflow.
Illustrative values. Not a clinical result.
GENEDORA in action
One variant-effect engine, tuned for the teams who need to know what a change in DNA actually does.
Re-examine variants of uncertain significance with a second, sequence-based line of evidence, and write reports your patients' clinicians can act on.
Early access
We're partnering with a small group of testing labs, pharma teams and breeders for our first validation studies. Tell us where to reach you.