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February 6, 2026European Heart Journal0 citations

Prevalence, penetrance, and coronary heart disease risk of familial hypercholesterolemia across diverse ancestries

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ODOzan DikilitasMHM E HamedJSJ Smith

Key Points

  • To estimate the prevalence and penetrance of familial hypercholesterolemia (FH) and its associated coronary heart disease (CHD) risk across various ancestries.
  • Analyzed 242,167 participants with whole-genome sequencing data from the All of Us cohort.
  • Identified pathogenic/likely pathogenic variants in FH-related genes (LDLR, APOB, PCSK9).
  • Measured low-density-lipoprotein cholesterol (LDL-C) levels and tracked statin prescriptions.
  • Determined coronary heart disease presence using electronic health record data and a validated algorithm.
  • Applied logistic regression models for prevalence and penetrance estimates and CHD odds ratios.
  • Identified 221 FH-associated pathogenic variants across diverse ancestry groups.
  • Observed prevalence rates of P/LP variants: European 0.46%, African 0.33%, admixed American 0.29%, other ancestry 0.50%.
  • Carriers of P/LP variants showed higher LDL-C levels and similar penetrance across ancestries.
  • P/LP variants in LDLR, APOB, and PCSK9 were associated with increased odds of CHD in all groups.

Abstract

Abstract Background Contemporary prevalence and penetrance of familial hypercholesterolemia (FH) and the associated coronary heart disease (CHD) risk across diverse genetic ancestries in the United States are unclear. Purpose To estimate prevalence of individuals harboring pathogenic/likely pathogenic (P/LP) variants in LDLR, APOB, and PCSK9, distribution of low-density-lipoprotein cholesterol (LDL-C) levels, and associated CHD risk for carriers in an ancestrally diverse cohort. Methods In 242,167 All of Us (AoU) participants with available whole-genome sequencing data, we obtained LDL-C measurements, statin prescriptions, and ascertained P/LP variants in FH-related genes and presence of CHD based on electronic-health record data. P/LP variants in LDLR, APOB, and PCSK9 were identified in AoU data by filtering for high-impact (frameshift, canonical splice site, indels, and stop gain) and predicted-deleterious missense variants, then selecting those classified as P/LP in ClinVar. Untreated LDL-C levels were estimated assuming a 30% reduction if there was a record of a statin prescription in the preceding 12 months and the highest value among multiple measurements for each individual were selected. Penetrance was defined as LDL-C155 mg/dl. CHD was determined using a validated phenotyping algorithm based on diagnostic and procedural billing codes. Logistic regression models were used to obtain prevalence and penetrance estimates and odds ratios for CHD, along with associated 95% confidence intervals (95% CI). Results We identified 221 FH-related P/LP variants (LDLR=169, APOB=50, PCSK9=2) in the study cohort. Of 125,841 European (EUR), 53,367 African (AFR), 40,189 admixed American (AMR), and 22,770 other ancestry individuals, 1:218 (0.46%, 95% CI 0.42%-0.50%), 1:307 (0.33%,0.28%-0.38%), 1:350 (0.29%, 0.24%-0.34%), and 1:201 (0.50%, 0.41%-0.59%) were carriers of a P/LP variant. In 92,616 individuals with at least one LDL-C measurement, carriers of a P/LP variant had a higher distribution of LDL-C across all ancestries with similarly high penetrance (Figure 1). Harboring a P/LP variant in LDLR, APOB, and PCSK9 was associated with similarly increased odds of CHD across all the different ancestry groups (Figure 2). Conclusions Monogenic FH was prevalent, penetrant, and significantly associated with CHD similarly across diverse ancestry groups in the AoU cohort. These findings support a ‘genotype first’ approach to detection of FH to enable early intervention across diverse ancestry groups.Figure 1 Figure 2

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Cite This Study

Dikilitas et al. (2025) studied this question.

synapsesocial.com/papers/6985852f8f7c464f230084echttps://doi.org/10.1093/eurheartj/ehaf784.3432
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Abstract TU181: Integrating Pathogenic Variants to Assess Familial Hypercholesterolemia Prevalence, Underdiagnosis, and Undertreatment in the All of Us Research Program2026
  2. 2Prevalence and penetrance of pathogenic and likely pathogenic LDLR and APOB gene variants linked to familial hypercholesterolemia and increased risk of ischemic heart disease2025 · 4 citations
  3. 3Reproductive Carrier Screening: Identifying Families at Risk for Familial Hypercholesterolemia in the United States2024 · 2 citations
  4. 4Frequency of familial hypercholesterolaemia-causing genetic variants in the 100 000 Genomes Project cohort: whole genome sequencing analyses of 77 260 participants2026
  5. 5Analysis of a deeply-phenotyped familial hypercholesterolemia cohort from Mexico shows a role for both rare and common alleles across known dyslipidemia genes and reveals structural variation in a novel locus2025