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

M Matthew Levy (Helix, San Mateo, California, United States) K Kelly Schiabor Barrett (Helix, San Diego, California, United States) A Alexandre Bolze M Megan Betts (Wellspan Health, York, Pennsylvania, United States) D David Kann (Wellspan Health, York, Pennsylvania, United States) B Basil Khuder (Helix, San Mateo, California, United States) N Natalie Telis (Helix, Lakeside, California, United States) L Lisa McEwen (Helix, San Mateo, California, United States) A Amy Sturm (OSUMC, Columbus, Ohio, United States) C Chad Haldeman-Englert (Cone Health, Greensboro, North Carolina, United States) J Jeremy Cauwels (Sanford Health, Sioux Falls, South Dakota, United States) D Douglas Stoller (UNMC, Omaha, Nebraska, United States) C C. Anwar Chahal (WellSpan, York, Pennsylvania, United States) C Christopher Chapman (St. Luke’s University Health Network, Bethlehem, Pennsylvania, United States) A Ashley Waring (Medical University of South Carolin, Charleston, South Carolina, United States) D Douglas Olson (HealthPartners, Minneapolis, Minnesota, United States) J Joseph Grzymski (Desert Research Institute, Reno, Nevada, United States) N Nicole Washington (Helix, San Mateo, California, United States) W William Lee E Elizabeth Cirulli (Helix, Lakeside, California, United States) C Catherine Hajek (Helix, San Mateo, California, United States)

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.

Article Details

Journal Circulation
Volume / Issue Vol. 152, Issue Suppl_3
Published November 04, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (21)

M

Matthew Levy

Helix, San Mateo, California, United States

K

Kelly Schiabor Barrett

Helix, San Diego, California, United States

A

Alexandre Bolze

M

Megan Betts

Wellspan Health, York, Pennsylvania, United States

D

David Kann

Wellspan Health, York, Pennsylvania, United States

B

Basil Khuder

Helix, San Mateo, California, United States

N

Natalie Telis

Helix, Lakeside, California, United States

L

Lisa McEwen

Helix, San Mateo, California, United States

A

Amy Sturm

OSUMC, Columbus, Ohio, United States

C

Chad Haldeman-Englert

Cone Health, Greensboro, North Carolina, United States

J

Jeremy Cauwels

Sanford Health, Sioux Falls, South Dakota, United States

D

Douglas Stoller

UNMC, Omaha, Nebraska, United States

C

C. Anwar Chahal

WellSpan, York, Pennsylvania, United States

C

Christopher Chapman

St. Luke’s University Health Network, Bethlehem, Pennsylvania, United States

A

Ashley Waring

Medical University of South Carolin, Charleston, South Carolina, United States

D

Douglas Olson

HealthPartners, Minneapolis, Minnesota, United States

J

Joseph Grzymski

Desert Research Institute, Reno, Nevada, United States

N

Nicole Washington

Helix, San Mateo, California, United States

W

William Lee

E

Elizabeth Cirulli

Helix, Lakeside, California, United States

C

Catherine Hajek

Helix, San Mateo, California, United States