Clinical Whole Genome.
Lifetime of Actionable Insights.
Grounded in Science.
Leading with Technology.
Empowering Health Decisions
through Genomics.
Previous
Next
Clinical Whole Genome.
Lifetime of Actionable Insights.
Grounded in Science.
Leading with Technology.
Empowering Health Decisions
through Genomics.
Previous
Next

Helping families understand their risks for inherited diseases

Clinically Relevant.
Whole Genome.

We provide a more complete picture of disease risk through clinical-grade whole genome sequencing (up to 30x) and analysis–10x more information than other tests–including rare and common variants and structural alterations

Test Once.
Analyze Often.

We deliver a lifetime (birth to family planning to late life) of on-demand health insights from a single sample that continuously updates for cardiac, diabetes, autoimmune, cancer risk, and other conditions, response to certain medications, and single gene and polygenic analysis to assess risk of multifactorial diseases

Dynamic Technology.
Actionable Findings.

We generate actionable integrated disease risk scores that evolve with a patient’s lifestyle by combining multiple genes and clinical factors enhanced with the newest ML/AI technologies and analysis methods 

To Lower Risk, Uncover At-Risk

Know who is at high risk for common and rare diseases and who to manage for earlier health intervention and disease management

Our Reports

Assess Risk.
Prevent Disease.

MyOme Integrated
Disease Risk

Estimate the lifetime risk of cardiac disease using genetic markers, clinical history, and lifestyle factors.

Screen Effectively.
Intervene Earlier.

MyOme Gene Panels
Screen for over 100 rare conditions to help identify disease early, when it can be treated.

Assess Risk.
Prevent Disease.

MyOme Therapeutic Insights
Assess genes associated with the ability to process certain medications.

One Test, Insights for Life​

Gain new insights over a patient’s lifetime. MyOme analyzes data and provides reports on-demand to answer clinically relevant questions throughout a patient’s life related to risk for common and rare diseases and pharmacogenomics.

Scroll

Our Solutions

Health Systems

Healthcare Providers

Employers

Individuals

Researchers

Advisors

Stephen Montgomery, Ph.D.
Associate Professor Of Pathology And Genetics
Stanford University

Trevor Hastie, Ph.D.
Professor Of Statistics And Biomedical Data Sciences
Stanford University

Russ B. Altman, M.D., Ph.D.
Professor of Bioengineering, Genetics, Medicine, Biomedical Data Science and Computer Science
Stanford University

Jacob Kitzman, Ph.D
Assistant Professor of Human Genetics Assistant Professor of Computational Medicine and Bioinformatics University of Michigan

Investors