Fabric Clinical Idiopathic

Unraveling the mysteries of rare disease

Combining deep phenotype data with genomic data using proven proprietary algorithms to rapidly and accurately identify disease-causing variants in rare disease patients.

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Algorithmic Prioritization


Diagnostic Yield

Improved Test Throughput


[Fabric Genomics’] technology and expertise help us to achieve our mission of interpreting genomic data on an industrial scale. We are very grateful for the team’s fast turnaround times and support, which means that NHS clinicians and patients in the 100,000 Genomes Project can be provided with meaningful clinical information.

DR. DAMIAN SMEDLEY, Director of Genomic Interpretation, Genomics England

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Accelerating WES/WGS interpretation by using advanced algorithmic prioritization to bring focus to the most phenotypically relevant variants.


Algorithmic Prioritization

Patient phenotype is one of the most important considerations when working with rare idiopathic disease. Use our VAAST+Phevor algorithms to systematically prioritize variants based on their severity in conjunction with association with patient phenotype, rapidly elucidate the most likely causative variants in each case.


Increased Diagnostic Yield

Our VAAST+Phevor algorithms have been shown to identify the causative variant as the #1 candidate in roughly half of returned rare disease cases at Genomics England (1,300 cases returned) and are currently powering diagnostic yields of up to 45% (compared to an industry-average of 29%).

Rapid Turnaround Time

A streamlined platform that integrates with your existing LIMS/EHR systems and offers multiple automatable workflows to provide an optimized variant interpretation and reporting environment aimed at reducing test turnaround time and increasing your labs test throughput.


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