Abstract 4360588: Population Genomic Screening for Familial Hypercholesterolemia is Associated with Improved Lipid Management and Control

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.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4360588
Primary Topic
Lipoproteins and Cardiovascular Health
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article
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article

Abstract 4360588: Population Genomic Screening for Familial Hypercholesterolemia is Associated with Improved Lipid Management and Control

Natalie Telis, Chad Haldeman‐Englert, Christopher Chapman, Douglas Stoller et al.
Circulation
Lipoproteins and Cardiovascular Health
article

Abstract 4360588: Population Genomic Screening for Familial Hypercholesterolemia is Associated with Improved Lipid Management and Control

Natalie Telis, Chad Haldeman‐Englert, Christopher Chapman, Douglas Stoller, Catherine Hajek, Nicole Washington, Ashley Waring, Amy C. Sturm, Basil Khuder, Kelly M. Schiabor Barrett, Alexandre Bolze, Lisa M. McEwen, Joseph J. Grzymski, C. Anwar A. Chahal, David Kann, Elizabeth T. Cirulli, William Lee, Matthew Levy, Douglas A. Olson, Megan Betts, Jeremy Cauwels
article en

Abstract

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.

CirculationVol. 152(Suppl_3)
St. Luke's University Health Network (US), Sanford Health (US), Cone Health (US), University of Nevada, Reno (US), Medical University of South Carolina (US), The Ohio State University Wexner Medical Center (US), WellSpan Health (US), Helix (United States) (US), HealthPartners (US), University of Nebraska Medical Center (US)
Openalex Percentile: Top 50%
Lipoproteins and Cardiovascular Health
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