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Population Genomic Screening and Improved Lipid Management in Patients With Familial Hypercholesterolemia
Matthew E Levy1, Kelly M Schiabor Barrett1, Megan N Betts2
1Helix, San Mateo, CA (M.E.L., K.M.S.B., A.B., B.K., N.T., L.M.M., N.L.W., W.L., E.T.C., C.H.).
Insights
Population genomics screening identified familial hypercholesterolemia (FH) in 1 in 198 adults. Genetic screening improved FH management and lowered LDL-C levels, especially when the diagnosis was documented.
Area of Science:
- Genomics
- Cardiovascular Medicine
- Genetic Screening
Background:
- The Helix Research Network program screens a large patient population for genetic conditions, including familial hypercholesterolemia (FH).
- FH is a significant risk factor for cardiovascular disease, necessitating effective management strategies.
Purpose of the Study:
- To evaluate changes in clinical management and low-density lipoprotein cholesterol (LDL-C) levels in patients identified with FH through population genomics screening.
- To assess the impact of FH diagnosis documentation on therapeutic modifications and LDL-C reduction.
Main Methods:
- Exome sequencing was performed on participants across 9 US health systems.
- Lipid-lowering therapies and LDL-C levels were evaluated using medication and laboratory testing records.
- Changes in clinical management were compared between patients with and without documented FH diagnosis codes.
Main Results:
- Among 228,602 adults, 1155 (≈1/198) had a pathogenic FH variant.
- 84% of identified FH patients lacked a prior clinical diagnosis.
- New or modified lipid-lowering therapy was received by 33% within the first year, with higher rates (57%) in those with a documented FH diagnosis code.
- Patients with new/modified therapies showed a mean LDL-C reduction of 52 mg/dL, compared to 20 mg/dL for those without changes.
Conclusions:
- Population genomic screening effectively identifies individuals with FH, leading to improved clinical management and LDL-C reduction.
- Documentation of FH diagnosis in electronic health records is associated with increased therapeutic modifications and greater LDL-C lowering.
- Genomic screening holds significant potential for optimizing lipid management in FH patients.
Background:
The Helix Research Network program is a large population genomics initiative that screens an all-comers population of patients for Centers for Disease Control and Prevention Tier 1 genetic conditions, including familial hypercholesterolemia (FH). We evaluated changes in clinical management and low-density lipoprotein cholesterol (LDL-C) levels among patients we identified to have FH.
Methods:
Participants across 9 US health systems provided samples that underwent clinical-grade exome sequencing. Individuals with a positive screening result for a Tier 1 condition were offered no-cost genetic counseling through their health system. Using medication and laboratory testing records, we evaluated changes in patients' lipid-lowering therapies and LDL-C levels.
Results:
Among 228 602 adults enrolled between 2017 to 2025, 1155 (≈1/198) had a pathogenic FH variant in LDLR (74%), APOB (25%), or PCSK9 (1%). Of the 622 with retrospective and prospective electronic health record data available (mean of 11.8 and 2.1 years, respectively), 84% lacked a prior clinical FH diagnosis. Overall, 33% received new/modified lipid-lowering therapy within the first year, but this proportion was higher in those with a newly documented FH diagnosis code (57% versus 17% for those without documentation; P<0.001). Patients with new/modified therapies had a mean LDL-C reduction of 52 mg/dL, compared with 20 mg/dL in patients with no therapeutic change (difference=32 mg/dL; P<0.001).
Conclusions:
Following genetic screening, many patients with a pathogenic FH variant experienced improvements in clinical management and LDL-C levels. Electronic health record documentation of the diagnosis code was associated with a greater likelihood of therapeutic modifications, which, in turn, were associated with larger LDL-C reductions. Findings underscore the powerful potential of population genomic screening for supporting optimal lipid management in individuals with FH.
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