Provide life-changing answers from NGS data, automatically, with the highest efficiency, accuracy and confidence
Congenica clinical decision support software enables genomic insights and life-changing answers for more patients, faster than ever previously possible, giving you the power to analyze and interpret complex NGS data, automatically, with the highest efficiency, accuracy and confidence. This empowers healthcare professionals everywhere to transform the health and wellness of people around the world, making personalized healthcare a reality.
Congenica is the only CE Marked IVD software for clinical diagnosis of rare and inherited genetic disorders that is available globally in both cloud and on-premise deployments and can fully integrate with laboratory information systems for seamless transfer of patient data and reports.
Carrier screening for inherited disorders
Congenica software works with NGS data to enable screening of entire genes, in both the mother and the father, for the presence of disease-causing variants, eliminating the need to restrict analysis to a limited number of individual variants known to have an elevated carrier rate in a particular population. This approach gives a comprehensive picture of carrier risk and provides higher confidence for couples planning for a family – particularly in geographical areas with a dense population of individuals with shared ancestry.
Diagnosis of inherited disorders
Congenica software has enabled Genomics England to achieve a 50% increase in diagnostic yield for patients and a 95% reduction in NGS data interpretation times at an unprecedented scale of over 2,700 whole genomes per week.
Congenica’s platform was developed with a genome-first approach, able to simultaneously process multiple whole genomes, exomes and gene panels in minutes. The platform automates variant classification workflows, supporting accepted clinical standards and reducing testing turn-around times. Key performance measures include:
Congenica simplifies and speeds up workflows in busy clinical laboratories through artificial intelligence (AI) – using both automation and machine learning (ML) methodologies. Congenica’s class-leading variant prioritization enables you to automatically identify disease-causing variants with greater accuracy than any other program – instantly focusing your analysis on the variants that matter most.
Congenica is setup to fully integrate inbound and outbound data into any laboratory information system, enabling fast, accurate processes delivering your data directly where it is needed. And by automating manual processes from sequencer to report, Congenica enables fast, accurate decision-making with interpretation in as little as 5-minutes to maximize case throughput.
Clinical Consulting Services
Leveraging unparalleled experience and expertise, from gene panels through to whole genome, our team of registered clinical scientists enables your lab to run a gold-standard service. They can provide the support you need to cost-effectively meet testing demand and scale operations, from advice on clinical best practice, guidance to validation approaches and development of compliant standard operating procedures.
About Congenica
Born out of pioneering research from the Wellcome Sanger Institute and the NHS, Congenica has a global footprint supporting small laboratories to national programs, academic medical centres and biopharmaceutical companies and is the exclusive Clinical Decision Support partner for the NHS Genomic Medicine Service. Our team has worked with organizations throughout the UK and Middle East including the UK’s National Health Service, Royal College of Surgeons Ireland, Sidra Medical and Research Center, Viafet Genomics Laboratory, and National Genetic Centre at Royal Hospital Oman.
Analyze, Interpret and Report NGS Data Faster than Ever Before (white paper)
View documentFrom Data to Diagnosis - Delivering Results on a National Scale with Genomics England
View documentVeritas Genetics - Automating NGS Analysis
View documentCongenica - Enabling Genomic Medicine
View documentIncrease Diagnostic Yield with Class-leading Variant Prioritization (white paper)
View document