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Congenica supports fast, meaningful results achieved in important project

Congenica supports fast, meaningful results achieved in important project

6/11/2019    |    0 min read

Congenica is pleased to support the Next Generation Children Project and its partners at Addenbrooke’s Hospital and the University of Cambridge.

The Next Generation Children Project is a collaboration between Addenbrooke’s genetics laboratory, the NIHR Bioresource Rare Diseases and the University of Cambridge to deliver the Next Generation Children research project which investigates the clinical utility of rapid whole genome sequencing for children in intensive care.

Congenica is the provider of the world’s leading clinical decision support platform, which enables healthcare professionals to rapidly interpret complex sequenced data into meaningful results. Congenica software is used internationally by centres of excellence such as Addenbrooke’s Hospital to enable a fast and accurate diagnoses in cases that may otherwise go unsolved. In important programmes such as the Next Generation Children Project this can mean children benefit from appropriate treatment and prevent further invasive tests.

Speaking to the BBC, Lucy Raymond, professor of medical genetics and neurodevelopment at the University of Cambridge, who led the project, said: “It is astonishing to be able to give a meaningful result from whole genome sequencing analysis in just a couple of weeks, compared to earlier in my career, when we spent years simply trying to locate a single gene.”

Read the full BBC article ‘Genome sequencing ‘revolution’ in diagnosis of sick children’here.

Rapidly identify the cause of prenatal fetal anomalies

Prenatal genetic diagnosis is a critical but complex clinical challenge to inform decisions during pregnancy and after birth. To support the analysis of ultrasound-detected fetal anomalies faster than ever before, we have developed Congenica Prenatal, a pre-configured application available within our clinical decision support platform, with expert curated and annotated gene panels, enabling you to rapidly identify the molecular cause of fetal anomalies.

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