A new study in JACC(https://lnkd.in/gqshdc3i) confirms what many of us in precision medicine have long believed:
We can now predict coronary artery disease (CAD) years—if not decades—before symptoms appear. Not with one test—but by combining: Genomics + key blood biomarkers
What the study shows (simply): Integrating Polygenic Risk Scores (PRS) with traditional biomarkers dramatically improves prediction of CAD risk.
The results are striking:
- Individuals with the highest genetic risk had multiple-fold higher CAD risk
- Predictive power increased significantly when PRS was added
- Earlier identification → earlier intervention → better outcomes This is not incremental. This is a step-function change in medicine.
The key insight: genetics is not optional—it’s foundational
CAD PRS alone contributed ~40% of predictive power. Let that sink in.
Your inherited risk is not a side factor — it is a primary driver. Which leads to a hard truth: If you are not analyzing your genome, you are missing one of the most powerful signals in modern medicine.
This is already happening today At Human Longevity, we have been applying this approach for over a decade— continuously improving predictive algorithms by combining:
- Large-scale public datasets
- Our own 10+ years of longitudinal multi-omic and clinical data As the data compounds, the models get smarter—and the predictions get earlier.
We are entering a new era: From reactive care ➡️ to genome-driven, predictive medicine
What should you do today? To truly understand—and reduce—your risk: 1️⃣ Sequence your genome → quantify your PRS 2️⃣ Combine with key biomarkers:
- LDL-C
- ApoB
- Lp(a)
- hs-CRP 3️⃣ Apply AI-driven models to track risk over time
⚡ Bottom line We now have the tools to predict—and prevent—the #1 cause of death globally.
The question is no longer: “Can we?” It is: “Will you act early enough?”