Skip to main content
Premium Trial:

Request an Annual Quote

Mayo Clinic, Invenshure Launch Oneome to Provide NGS-based PGx Analysis

NEW YORK (GenomeWeb) — The Mayo Clinic and biomedical investing firm Invenshure have launched a new company, Oneome, to provide analysis of NGS data and reporting of relevant pharmacogenomic information in an accessible format.

Terms of the investment were not disclosed, but John Logan Black, co-founder of the new company and co-director of the Mayo Clinic's Personalize Genomics Lab, told GenomeWeb Daily News that the company is 50 percent owned by Mayo and 50 percent owned by Invenshure.

Oneome will initially provide analysis of patient NGS data generated within the Mayo Clinic, providing concise, actionable reports to help physicians deliver the right medication and avoid serious side effects. The company then intends to launch its service more broadly to other customers seeking PGx-focused analysis and reporting of NGS results.

The Mayo Clinic Department of Laboratory Medicine and Pathology and the Mayo Clinic Center for Individualized Medicine are responsible for the research and development of the algorithms behind Oneome's analysis methodology.

In addition to the investment, Invenshure will contribute its data processing platform, which will be combined with Mayo's pharmacogenomics knowledge base. "Together, we expect the unique combination of our respective technologies to rapidly enable health care IT solutions that will save lives and reduce costs," Invenshure Co-founder and Oneome CEO Troy Kopischke said in a statement.

Oneome's reports will focus on the most established and actionable PGx variants — alterations which professional guidelines endorse to inform the prescribing of a medication, or which are included in warning labels for specific drugs.

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.