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Published on: September 15, 2018
LDLR variant classification for improved cardiovascular risk prediction in familial hypercholesterolemia
Shirin Ibrahim1, Merel L Hartgers2, Laurens F Reeskamp1
1Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Insights
Familial hypercholesterolemia (FH) variant classification is improved using LDL cholesterol percentiles. This refined method offers more precise coronary artery disease (CAD) risk prediction for FH patients.
Area of Science:
- Genetics
- Cardiovascular Medicine
- Biochemistry
Background:
- Familial hypercholesterolemia (FH) is a genetic disorder characterized by elevated LDL cholesterol and premature coronary artery disease (CAD) risk.
- Current classification of LDL receptor gene (LDLR) variants may not fully capture individual variability in LDL cholesterol and CAD risk.
- A novel approach using variant-specific LDL cholesterol percentiles is proposed to better assess LDLR variant severity.
Purpose of the Study:
- To develop and validate a novel method for classifying LDLR variants based on their impact on LDL cholesterol levels.
- To assess the association between these refined variant classifications and coronary artery disease (CAD) risk.
- To compare the precision of this new classification system with traditional methods for FH patient risk stratification.
Main Methods:
- Screening of 456 LDLR variants in 35,067 participants from the Dutch FH cascade screening program.
- Derivation of sex- and age-specific LDL cholesterol percentiles for each LDLR variant carrier.
- Grouping carriers into distinct LDL cholesterol strata and comparing CAD risk using Cox proportional hazard models.
Main Results:
- 12,485 LDLR variant carriers were identified, exhibiting a 5-fold higher CAD risk than non-carriers.
- Coronary artery disease (CAD) risk increased progressively across LDL cholesterol strata, with hazard ratios ranging from 2.2 to 12.0.
- Carriers of class 1 and non-class 1 LDLR variants showed significantly increased CAD risks (7.3-fold and 3.9-fold, respectively).
Conclusions:
- A refined approach for classifying LDLR variants based on LDL cholesterol impact has been developed.
- This method allows for more precise, genotype-specific CAD risk estimation in FH patients.
- The proposed classification improves upon traditional methods for stratifying FH patient risk.
Background And Aims:
Familial hypercholesterolemia (FH) is a genetic disorder marked by high LDL cholesterol and an increased premature coronary artery disease (CAD) risk. Current dichotomous classification of LDL receptor gene (LDLR) variants may inadequately capture patient variability in LDL cholesterol levels and CAD risk. This study assessed a novel approach for determining LDLR variant severity using variant-specific LDL cholesterol percentiles.
Methods:
Participants of the Dutch FH cascade screening program were screened for 456 LDLR variants. For each LDLR variant carrier, a sex- and age-specific LDL cholesterol percentile was derived from the LDL cholesterol level measured at study entry, i.e. generally from the blood drawn for DNA analysis. These percentiles were used to calculate the mean LDL cholesterol percentile for each variant. Based on the variant-specific LDL cholesterol percentiles, carriers were grouped into the following LDL cholesterol strata: <75th, 75th-88th, 88th-92nd, 92nd-96.5th, 96.5th-98th, and ≥98th percentile. Additionally, variants were categorized into class 1 (LDLR deficient) and non-class 1 (often LDLR defective) variants. CAD risk between carriers in the different LDL cholesterol strata and non-carriers was compared using a Cox proportional hazard model.
Results:
Out of 35,067 participants, 12,485 (36 %) LDLR variant carriers (mean age 38.0 ± 20.0 years, 47.7 % male) were identified. Carriers had a 5-fold higher CAD risk compared with non-carriers. Hazard ratios for CAD increased gradually from 2.2 (95%CI 0.97-5.0) to 12.0 (95%CI 5.5-24.8) across the LDL cholesterol strata. A 7.3-fold and 3.9-fold increased CAD risk was observed in carriers of class 1 and non-class 1 LDLR variants, respectively.
Conclusions:
This study presents a refined approach for classifying LDLR variants based on their impact on LDL cholesterol levels, allowing for more precise, genotype-specific CAD risk estimation in FH patients compared with traditional methods.
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