From Phenotype to Genotype and Beyond: Insights into Familial Hypercholesterolemia and Familial Hypertriglyceridemia

Dragos Cozma1,2,3, Daniel Florin Lighezan4,5,6, Cristina Tudoran7,8,9

  • 1Institute of Cardiovascular Diseases Timisoara, 300310 Timisoara, Romania.

Insights

Familial hypercholesterolemia (FH) and familial hypertriglyceridemia (FHTG) require updated diagnostics beyond the Dutch Lipid Clinic Network (DLCN) score. Integrating genomics and biomarkers like ApoB and Lp(a) is crucial for accurate diagnosis and risk assessment.

Area of Science:

  • Cardiovascular Genetics
  • Lipid Metabolism Disorders
  • Diagnostic Accuracy

Background:

  • Familial hypercholesterolemia (FH) and familial hypertriglyceridemia (FHTG) are inherited lipid disorders with significant cardiovascular risk.
  • Current diagnostic criteria, like the Dutch Lipid Clinic Network (DLCN) score, predate the genomic era and have limitations in accuracy.
  • Understanding the genetic and biomarker-driven etiologies is essential for effective management.

Purpose of the Study:

  • To review the historical evolution of diagnostic criteria for FH and FHTG.
  • To evaluate the limitations of current diagnostic frameworks, including the DLCN score.
  • To propose an integrated, genomics-informed diagnostic algorithm for FH and FHTG.

Main Methods:

  • Narrative synthesis of landmark clinical, epidemiological, and genetic studies.
  • Systematic evaluation of diagnostic criteria limitations.
  • Integration of Mendelian randomization (MR) evidence on lipid risk factors.

Main Results:

  • Current diagnostic criteria are limited by age-dependent confounding, failure to account for Lp(a), inadequate differentiation of monogenic/polygenic causes, and applicability issues.
  • Mendelian randomization studies indicate cardiovascular risk is particle-centric (ApoB) and remnant cholesterol drives risk in FHTG.
  • Treatment evolution shows changing morbidity and mortality rates for FH and FHTG.

Conclusions:

  • Phenotype-only diagnostic approaches are insufficient for FH and FHTG.
  • Future diagnostics should integrate lifetime Lp(a) measurement, polygenic risk scoring, ApoB quantification, and cascade genomic testing.
  • A four-step integrated diagnostic algorithm is proposed to enhance diagnostic accuracy for FH and FHTG.

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