CardioGuardian · Our first product

Your genes set the risk.
Your blood shows which ones are active.

Guardian Genomics develops genetics-guided cell-free RNA blood tests. Our first product, CardioGuardian, is a patent-pending blood test that measures cell-free RNA from genetically regulated risk genes, to detect cardiovascular disease that clinical risk scores miss.

GWAS → eQTL → cfRNA
01 — The gap

Cardiovascular disease is the leading cause of death, and today's risk tools still miss people.

Clinical calculators

Age, cholesterol, blood pressure

Equations such as PREVENT estimate risk from a handful of clinical factors.

Many patients with disease are rated low or borderline risk.

Polygenic scores

Inherited DNA variants

They capture genetics, but they are fixed at birth and were built mostly in European-ancestry cohorts.

They can't tell whether risk genes are actually active.

Imaging

Calcium scans and angiography

Imaging shows plaque directly, but it requires a separate visit and radiation exposure.

It sees disease once structure has changed.

Our approach

CardioGuardian, our first test, reads the activity of the genes that drive inherited cardiovascular risk, from a single routine blood draw.

02 — The science

Genetics chooses the genes. Cell-free RNA measures them.

1

Find the genes that matter

We link cardiovascular GWAS risk variants to the genes they regulate in artery tissue, using a regulatory trait concordance method applied to GTEx eQTL maps of coronary artery and aorta.

GWAS × eQTL
2

Measure them in blood

Cells in the artery wall and immune system shed RNA into the bloodstream. From one plasma sample, we sequence the cell-free RNA of those risk genes.

Plasma cfRNA
3

Score the risk

Each gene's expression is weighted by its genetic effect, producing a single CardioGuardian score designed to complement clinical risk equations.

One score
score = Σ expression × genetic effect
Genetically informed, expression-based, and measured from a routine blood draw.
03 — Evidence

Tested in a diverse clinical cohort, confirmed in artery tissue.

125

Patients profiled by plasma cell-free RNA in our training cohort

39%

Of the cohort from non-European ancestry

41

Carotid artery tissue samples in an independent public dataset used for validation

85

Risk variant–gene pairs active in coronary artery, used to select our genes

Finding 01

The CardioGuardian score was significantly higher in patients with cardiovascular disease than in those without.

Finding 02

It outperformed a polygenic risk score in the same cohort and added information beyond the PREVENT clinical risk score.

Finding 03

It flagged patients with disease even when their clinical risk was rated low or borderline.

What's next

We are expanding independent validation in additional patient cohorts, toward 500 samples, and moving from exome-wide sequencing to a compact targeted panel already designed for lab transfer.

Results from a cross-sectional cohort; manuscript currently in peer review. CardioGuardian is an investigational research assay. It has not been cleared or approved by the U.S. FDA and is not available for clinical use.

04 — For clinical labs

A differentiated cardiology test that runs on the sequencers you already own.

  • A
    Locked gene panelA defined set of genetically regulated risk genes, with a compact panel designed for lab transfer.
  • B
    Lab protocolSample collection, cfRNA processing, and library preparation standards for consistent results.
  • C
    Scoring softwareOur algorithm turns sequencing output into a CardioGuardian score and report.
  • D
    Evidence and supportValidation data, scientific support, and collaboration on clinical-utility studies.

Who we work with

  • Reference and specialty clinical labs
  • Cardiometabolic and preventive-cardiology lab services
  • Pharma teams running cardiovascular prevention trials
  • Cancer centers caring for survivors at elevated cardiovascular risk
  • Research collaborators with banked plasma and outcomes
Discuss a partnership
05 — Team

Genetics, assay science, and clinical medicine, under one roof.

BS

Brian Su, PhD

Co-founder · CEO

Built the CardioGuardian cfRNA assay and model. Previously developed a colorectal cancer NGS assay now commercialized as ColonAiQ and managed companion-diagnostic partnerships at Hengrui Pharmaceutical.

MB

Michael Binkley, MD

Co-founder · Scientific founder

Assistant Professor of Radiation Oncology at Stanford. Leads research on liquid biopsy and the cardiovascular effects of cancer therapy, where CardioGuardian began.

AS

Ajay Subramanian

Co-founder · CTO

Bioinformatician who co-led the genetic and clinical analyses behind CardioGuardian, including benchmarking against polygenic and clinical risk scores and tissue validation.

Scientific advisors
RK

Ryosuke Kita

Scientific advisor

Head of AI Product at Noetik. Developed the regulatory trait concordance algorithms that link disease-risk variants to the genes they regulate in specific tissues, and co-developed the CardioGuardian scoring model.

DC

Daniel Clark, MD

Scientific advisor

Associate Professor at Stanford University School of Medicine, with appointments in Cardiovascular Medicine and Pediatric Cardiology. Co-author of the CardioGuardian study.

Let's find the people clinical risk scores miss.

Guardian Genomics is speaking with clinical labs, cardiologists, research collaborators, and investors. We'd love to hear from you.

Email the team