NIH-funded research R01 grant

Better heart-risk prediction for inherited high cholesterol

Official title: Improving Risk Stratification in Familial Hypercholesterolemia (RISK-FH)

Funded at Geisinger Clinic · NIH-11158873 · Data updated 2026-11-12

This project aims to give people with familial high cholesterol clearer, more personalized estimates of their future heart disease risk using genetic information, cholesterol measures, and other health factors.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionGeisinger Clinic
NIH-funded
Lab location1 site (Danville, United States)
Project startJuly 1, 2022
Project endJune 30, 2027
Funding year2025
Award (this year)$738,991
NIH project number5R01HL159182-04
Project IDNIH-11158873 on NIH RePORTER

Who could benefit from this research

Could help

Adults with diagnosed or suspected familial hypercholesterolemia—those with very high LDL-C or a family history of early heart disease—who can share medical records and genetic or blood-test data are the ideal candidates.

Less likely to help

People without inherited high cholesterol, those whose high LDL-C is clearly due to secondary causes, or those unwilling to provide genetic or health data may not benefit from this project.

What this research studies

This project sorts people with familial high cholesterol into four types: a single harmful gene change, many small genetic changes, very high lipoprotein(a), or no clear genetic cause. Researchers will combine genetic test results, LDL-C and Lp(a) levels, medical records, and demographic information to estimate each group's risk of heart attack and other atherosclerotic events. The team will also look at how age, sex, race/ethnicity, and access to care change that risk and will develop ways to explain risk clearly to patients and clinicians. The goal is to help you and your doctor make more informed, personalized decisions about prevention and treatment.

Why it matters

Potential benefit: If successful, this work could give patients more accurate, personalized heart-risk information that leads to better-targeted prevention and treatment.

How similar studies have gone: Prior research shows genetic testing and Lp(a) relate to heart risk, but combining FH subtypes into a practical, personalized risk tool is a newer approach.

Where this research is happening

  • Geisinger Clinic
    Danville, United States
    Active

Researchers

  • Principal investigator: Oetjens, Matthew — Geisinger Clinic
  • Study coordinator: Oetjens, Matthew

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.