Vgen23 is validated across germline, somatic, and ranking workflows. Performance claims are specific, reviewable, and tied to real evaluation cohorts.
You can only use Vgen23 if you can verify what it detects, how it ranks, and how it supports review. Vgen23 was built by the scientific team at Vgenomics, and our validation focused on detection accuracy, ranking performance, specificity, and review-readiness across real-world clinical categories.
Vgen23 was evaluated on a 300-patient cohort representing diverse clinical conditions and ethnic backgrounds, with 320 sites evaluated across true positive and true negative cases. The pipeline detected 224 of 226 true positive variants and correctly classified all 94 true negative sites, resulting in 99.1% sensitivity and 100% specificity. The cohort included neurological, ophthalmic, immunological, dermatological, skeletal, and congenital disorders.
300
Patients
320
Evaluated sites
99.1%
Sensitivity
100%
Specificity
224/226
True positives
0
False positives
In a somatic cohort of 115 lung cancer patients, Vgen23 evaluated 119,022 somatic variants and correctly identified 118,546 true positive variants, with 476 false negatives, resulting in 99.6% sensitivity.
115
Patients
119,022
Variants evaluated
118,546
True positives
99.6%
Sensitivity
This evaluation included 100 individuals, including 87 affected and 13 unaffected. Vgen23 achieved 97.3% sensitivity and 100% specificity, with affected variants ranked in the top 1 to 5. Healthy controls were correctly detected as healthy by the pipeline.
100
Individuals
87
Affected cases
97.3%
Sensitivity
100%
Specificity
Across 89 individuals and 102 catalogued variants, Vgen23 captured 93% of variants within the top 1 to 5 ranks, 98% within the top 1 to 10, and 100% within the top 1 to 20.
89
Individuals
102
Catalogued variants
93%
Top 1-5
98%
Top 1-10
100%
Top 1-20
Validation cohorts included samples from Indian, Chinese, Korean, Shanghai, Brazilian, Han, and Russian backgrounds, supporting strong performance across multiple genetic backgrounds.
Read the supporting documentation in our Trust Center, or upload your own solved or unsolved case to evaluate Vgen23 in your workflow.