Skip to main content
Premium Trial:

Request an Annual Quote

Veracyte Inks Research Collaboration with GE

NEW YORK (GenomeWeb) – Veracyte today announced that it has signed a research collaboration agreement with GE to develop new diagnostic approaches based on GE Healthcare's digital imaging technology.

The partners will "explore the concept of deriving innovative diagnostic approaches from a combination of digital imaging and genomic technologies," Veracyte CEO Bonnie Anderson said in a statement.

The firms will look to identify features from raw imaging data that, when combined with genomic information, have the potential to inform disease diagnosis.

Veracyte has amassed a large database of clinical, imaging, and genomic information from clinical trials to validate its Afirma gene expression classifier (GEC) tests, the firm said in a statement.

Under the terms of the agreement, Veracyte will collaborate with GE Ventures, GE Healthcare, and the GE Global Research Center to assess the feasibility of combining the two firms' technologies.

Financial and other terms of the agreement were not disclosed.

Last month, Veracyte expanded a co-promotion deal for the Afirma GEC test in Brazil and Singapore with Genzyme.

The Scan

Suicidal Ideation-Linked Loci Identified Using Million Veteran Program Data

Researchers in PLOS Genetics identify risk variants within and across ancestry groups with a genome-wide association study involving veterans with or without a history of suicidal ideation.

Algorithm Teases Out Genetic Ancestry in Individuals at Biobank Scale

Researchers develop an algorithm known as Rye to tease apart ancestry fractions in admixed individuals at a biobank-scale, applying it to 488,221 UK Biobank participants in Nucleic Acids Research.

Multi-Ancestry Analysis Highlights Comparable Common Variants at Complex Trait-Linked Loci

Researchers in Nature Genetics examine common variants implicated in more than three dozen conditions, estimating genetic effect similarities across ancestry tracts in admixed individuals.

Sick Newborns Selected for WGS With Automated Pipeline

Researchers successfully prioritized infants with potential Mendelian conditions for whole-genome sequencing or rapid whole-genome sequencing, as they report in Genome Medicine.