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.
Abstract

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