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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.
Abstract:
Familial hypercholesterolemia (FH) and familial hypertriglyceridemia (FHTG) represent a spectrum of inherited conditions with profoundly different etiologies, risk profiles, and therapeutic implications. Despite decades of clinical experience, their formal diagnostic definitions remain rooted in frameworks developed before the genomic era (the Dutch Lipid Clinic Network (DLCN) score), leading to substantial gaps in diagnostic accuracy. This review traces the historical evolution of diagnostic criteria for FH and FHTG from early phenotypic observation to contemporary genomic and biomarker-driven models. It systematically evaluates the major limitations of current criteria, including the (DLCN) score, and integrates evidence from landmark Mendelian randomization (MR) studies to identify persistent gaps. A narrative synthesis of landmark clinical, epidemiological, and genetic studies was performed, encompassing the original discovery of the low-density lipoprotein cholesterol (LDL-C) receptor pathway, the development of international diagnostic criteria, and contemporary mendelian randomization (MR) evidence on the causal roles of LDL-C, lipoprotein (a) [Lp(a)], triglyceride-rich lipoprotein remnants, and apolipoprotein B (ApoB). Current diagnostic frameworks suffer from age-dependent confounding of LDL-C measurements, failure to account for Lp(a)-mediated phenocopies, inadequate discrimination between monogenic and polygenic etiologies, sex differences, ethnicity, and inapplicability to pediatric populations. MR data reveal that the causal architecture of cardiovascular risk in these disorders is particle-centric (ApoB) rather than LDL-C-centric, and that remnant cholesterol, not triglyceride per se, drives atherosclerotic cardiovascular disease risk in FHTG. We evidenced the evolution of treatment options and the morbidity and mortality rates for FH and FHTG from the 1970s until the 2020s. Future diagnostic paradigms should integrate lifetime Lp(a) measurement, polygenic risk scoring, ApoB quantification, and cascade genomic testing to replace phenotype-only approaches. This review concludes by proposing a four-step integrated diagnostic algorithm for FH and FHTG.
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