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Published on: September 15, 2018
Diagnosis of Familial Hypercholesterolemia in Children: From Clinical Features Through Gene Variants to Polygenic
Raffaele Buganza1, Cecilia Nobili1, Giulia Massini1
1Department of Public Health and Pediatric Sciences, University of Turin, Regina Margherita Children's Hospital, 10126 Turin, Italy.
Insights
Early diagnosis of familial hypercholesterolemia (FH) in children is crucial. Genetic testing confirms FH in most cases, but variant type, BMI, and polygenic scores influence lipid levels, requiring further study for clinical use.
Area of Science:
- Genetics
- Cardiovascular Disease
- Pediatrics
Background:
- Early diagnosis of familial hypercholesterolemia (FH) is vital for improving long-term outcomes.
- FH diagnosis typically involves elevated low-density lipoprotein cholesterol (LDL-C), family history, and genetic testing.
- Overweight, obesity, and polygenic risk scores (based on single-nucleotide polymorphisms, SNPs) can influence LDL-C levels.
Purpose of the Study:
- To evaluate the diagnostic yield of genetic testing in pediatric subjects with elevated LDL-C and a family history of FH.
- To investigate the influence of variant type, body mass index (BMI), and polygenic risk scores on FH phenotype.
- To assess the utility of polygenic risk scores in predicting LDL-C levels in pediatric FH.
Main Methods:
- Enrolled 214 pediatric subjects with LDL-C ≥95th percentile and parental history of elevated LDL-C.
- Performed biochemical, auxological, and genetic testing for FH.
- Calculated 6- and 12-SNP LDL-C polygenic scores in a subgroup of 60 subjects.
Main Results:
- Genetic variants confirming heterozygous FH were found in 91.8% of subjects (190/214).
- LDL-C levels were modestly higher in variant-positive (V+) versus variant-negative (V-) subjects.
- In V+ subjects, null variants were associated with higher LDL-C than defective variants. BMI SDS correlated inversely with HDL-C; obesity was linked to lower HDL-C and higher LDL-C, non-HDL-C, and ApoB. The 12-SNP score independently predicted higher LDL-C and non-HDL-C in V+ subjects.
Conclusions:
- Genetic confirmation of FH is highly successful in children selected based on LDL-C and family history.
- Phenotypic heterogeneity in FH is influenced by variant type, BMI, and polygenic background.
- Polygenic scores may serve as phenotype modifiers in FH but require further validation before clinical implementation.
Background:
Early diagnosis of familial hypercholesterolemia (FH) is crucial to improve long-term outcomes. FH diagnosis relies on elevated low-density lipoprotein cholesterol (LDL-C) levels, familial clinical characteristics, and identification of pathogenic variants in FH-related genes. Secondary factors, such as overweight and obesity, are known to influence lipid profiles in the general population. More recently, polygenic risk scores based on single-nucleotide polymorphisms (SNPs) have been proposed as additional determinants of LDL-C levels.
Methods:
We enrolled 214 pediatric subjects with LDL-C levels ≥95th percentile (after 6 months of dietary intervention) and with at least one parent with LDL-C levels ≥ 95th percentile. All participants underwent biochemical and auxological assessment and genetic testing for FH. In a subgroup of 60 subjects, LDL-C polygenic scores based on 6- and 12-SNPs were calculated.
Results:
Pathogenic variants confirming heterozygous FH were identified in 190 subjects (variant-positive, V+); 17 were variant-negative (V-), yielding a mutation detection rate of 91.8%. An additional seven patients carrying variants of uncertain significance were excluded from the primary analysis. LDL-C was modestly higher in V+ than V- subjects using both Friedewald (212 vs. 188 mg/dL; p = 0.035) and Martin-Hopkins formulas (208 vs. 187 mg/dL; p = 0.041), while the other main clinical and laboratory parameters were similar. In V+, LDL-C was higher in subjects with null variants, compared to those with defective variants. Body mass index (BMI SDS) was inversely correlated with HDL-C (p < 0.001), and obesity (BMI z-score > 2 SDS) was associated with lower HDL-C and higher LDL-C, non-HDL-C, and ApoB. With regard to the polygenic scores, 12- and 6-SNP scores showed overlap between V+ and V-, and published cut-offs did not discriminate lipid severity in our population; however, in V+ subjects, the 12-SNP score acted as a phenotype modifier, being independently associated with higher LDL-C and non-HDL-C levels after adjustment for age, sex, and BMI SDS.
Conclusions:
In children selected by LDL-C ≥ 95th percentile, together with autosomal dominant familial hypercholesterolemia, genetic confirmation of FH is achieved in the vast majority of cases. Variant type (null vs. defective), BMI, and polygenic background contribute to phenotypic heterogeneity, supporting the need to address other factors alongside genetic diagnosis. Further validation is needed before polygenic scores can be implemented in routine clinical practice.
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