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American Heart Association

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Final ID: Su4019

Population Genomic Screening for Familial Hypercholesterolemia is Associated with Improved Lipid Management and Control

Abstract Body (Do not enter title and authors here): Background: Familial hypercholesterolemia (FH) is characterized by lifelong elevated LDL-cholesterol (LDL-C) and high risk of early-onset cardiovascular disease. Population genomic screening can identify FH-associated pathogenic variants, but its impact on subsequent lipid management remains unclear.

Objective: Assess the impact of population genomic screening for FH on clinical outcomes.

Methods: Participants across 9 U.S. health systems underwent clinical-grade exome sequencing and were offered genetic counseling if positive for FH. Using longitudinal EHR data, FH-positive patients were propensity score-matched (1:4) with FH-negative controls who also enrolled in the screening program and had similar baseline LDL-C and risk factors at the time of screening. Weighted Cox proportional hazards models assessed associations with lipid management outcomes.

Results: Among 228,602 adults screened from 2017-2025, 1,155 (~1 in 198) had a pathogenic FH variant in LDLR (74%), APOB (25%), or PCSK9 (1%). For this outcome-based analysis, 304 individuals with baseline LDL-C ≥100 mg/dL and with ≥12 months retrospective and ≥6 months prospective EHR data were included. All characteristics were well-balanced between positive vs negative groups, including baseline statin use (37% vs 38%) and LDL-C (mean of 153 vs 155 mg/dL). FH-positive patients were 2.95 times more likely than FH-negative patients to receive new/modified lipid-lowering therapies within 1 year after screening (p<0.0001). This was more pronounced in patients with baseline LDL-C 100-129 mg/dL (HR=3.25; p<0.0001) or 130-189 mg/dL (HR=2.82; p<0.0001) compared to those with LDL-C ≥190 mg/dL (HR=1.53; p=0.14). FH-positive patients on statins were more likely to be on high-intensity statins (68.9% vs 55.3%; p=0.014) or dual therapy with another lipid-lowering agent (32.8% vs 13.7%; p=0.0002). Additionally, FH-positive patients were more likely to achieve LDL-C <100 mg/dL (HR=1.35; p=0.013) or LDL-C <70 mg/dL (HR=1.82; p=0.0032) within 2 years.

Conclusion: Identification of patients with pathogenic FH variants through population genomic screening is associated with improvements in lipid management and control compared to similar FH-negative individuals. FH-positive patients received more timely and aggressive lipid-lowering therapies, likely contributing to superior LDL-C outcomes. These findings suggest clinical utility when population genomics programs are integrated with clinical management for patients with FH.
  • Levy, Matthew  ( Helix , San Mateo , California , United States )
  • Haldeman-englert, Chad  ( Cone Health Precision Health , Greensboro , North Carolina , United States )
  • Cauwels, Jeremy  ( Sanford Health , Sioux Falls , South Dakota , United States )
  • Stoller, Douglas  ( University of Nebraska Medical Cent , Omaha , Nebraska , United States )
  • Chahal, C. Anwar  ( WellSpan Health , Ephrata , Pennsylvania , United States )
  • Chapman, Christopher  ( St. Luke’s University Health Network , Bethlehem , Pennsylvania , United States )
  • Waring, Ashley  ( Medical University of South Carolin , Charleston , South Carolina , United States )
  • Olson, Douglas  ( HealthPartners , Minneapolis , Minnesota , United States )
  • Grzymski, Joseph  ( University of Nevada, School of Medicine , Reno , Nevada , United States )
  • Washington, Nicole  ( Helix , San Mateo , California , United States )
  • Lee, William  ( Helix , San Mateo , California , United States )
  • Schiabor Barrett, Kelly  ( Helix , San Mateo , California , United States )
  • Cirulli, Elizabeth  ( Helix , San Mateo , California , United States )
  • Hajek, Catherine  ( Helix , San Mateo , California , United States )
  • Bolze, Alexandre  ( Helix , San Mateo , California , United States )
  • Betts, Megan  ( WellSpan Health , Ephrata , Pennsylvania , United States )
  • Kann, David  ( WellSpan Health , Ephrata , Pennsylvania , United States )
  • Khuder, Basil  ( Helix , San Mateo , California , United States )
  • Telis, Natalie  ( Helix , San Mateo , California , United States )
  • Mcewen, Lisa  ( Helix , San Mateo , California , United States )
  • Sturm, Amy  ( The Ohio State University Wexner Medical Center , Columbus , Ohio , United States )
  • Author Disclosures:
    Matthew Levy: DO have relevant financial relationships ; Employee:Helix:Active (exists now) | Chad Haldeman-Englert: DO NOT have relevant financial relationships | Jeremy Cauwels: DO NOT have relevant financial relationships | Douglas Stoller: DO have relevant financial relationships ; Speaker:Bristol Myers Squibb:Active (exists now) ; Advisor:CareDx:Past (completed) ; Advisor:Cytokinetics:Past (completed) | C. Anwar Chahal: No Answer | Christopher Chapman: No Answer | Ashley Waring: DO NOT have relevant financial relationships | Douglas Olson: No Answer | Joseph Grzymski: No Answer | Nicole Washington: No Answer | William Lee: DO have relevant financial relationships ; Employee:Helix:Active (exists now) | Kelly Schiabor Barrett: No Answer | Elizabeth Cirulli: DO have relevant financial relationships ; Employee:Helix:Active (exists now) | Catherine Hajek: No Answer | Alexandre Bolze: DO have relevant financial relationships ; Employee:Helix Inc:Active (exists now) | Megan Betts: No Answer | David Kann: No Answer | Basil Khuder: DO NOT have relevant financial relationships | Natalie Telis: No Answer | Lisa McEwen: No Answer | Amy Sturm: DO have relevant financial relationships ; Individual Stocks/Stock Options:23andMe:Past (completed) ; Employee:23andMe:Past (completed)
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

New Genomic and Precision Medicine Treatment Strategies for Amyloidosis and Cardiometabolic Disease

Sunday, 11/09/2025 , 11:30AM - 12:30PM

Abstract Poster Board Session

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