Hereditary Risk Screening - Fabric Genomics

Advanced hereditary
risk screening at scale

Inherited Cancer Cardiac Risk Newborn Screening ACMG Incidental Findings

Fabric's AI reduces turnaround
time for analysis of NGS hereditary
panels to minutes

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Fabric’s Artificial Intelligence Classification Engine (ACE) synthesizes knowledge from disparate datasets to rapidly automate clinical reporting for all common hereditary risk panels
Fabric's AI Classification Engine

Comprehensive coverage of most common genetic panels

  • BRCA1 & BRCA
  • HBOC
  • Lynch syndrome
  • Inherited cancer syndromes
  • Familial hypercholesterolemia
  • Long QT
  • Marfan, aneurysm, & aortopathies
  • Cardiomyopathy
  • Arrhythmia
  • Non-syndromic epilepsies
  • Neuropathies
  • Newborn screening
  • Carrier screening
  • CDC Tier 1
  • ACMG secondary findings

Fabric Hereditary Panels powered by ACE

Best-in-class bioinformatics pipeline

 

  • Automated ACMG Classification for fast reporting
  • Sequencing to report in minutes
  • Unique variant prioritization algorithm reduces computation time
  • Reduced VUS backlog

Variant Classifications

Exceeds validation standards

  • Validated across > 100,000 variants
  • 100% match with ClinVar classifications
  • No misclassifications in validation dataset
  • Synthesizes knowledge from diverse databases

Download the ACMG 2019 Poster

AMP 2020 Corporate Workshop

Unmatched sample throughput

  • Eliminates costly interpretation bottleneck
  • Reduces manual review demand
  • Minimizes repetitive work of scarce expertise
  • Grows your Classified Variant Database

 

Watch Webinar

Applying AI to variant classification video

To learn more about how ACE reduces labor and delivers novel insights faster

Watch the Video

Ready for fast
hereditary risk reporting?

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