Detection of familial hypercholesterolemia in a cohort of children with hypercholesterolemia: results of a family and DNA-based screening

Atherosclerosis. 2008 Jan;196(1):356-364. doi: 10.1016/j.atherosclerosis.2006.11.015. Epub 2006 Dec 28.

Abstract

The diagnosis of familial hypercholesterolemia (FH) in unselected children is difficult due to the frequent overlap of cholesterol values in affected and non-affected and the paucity of physical signs. Nevertheless, detection and treatment of FH in childhood has been advocated to prevent atherosclerosis in these patients. Here, we report the results of a screening program in a cohort of 157 unrelated, hypercholesterolemic (HC) children (age range 2-15 years; mean 8.3+/-3.4 years) carried out by a combination of family study and molecular analysis of the LDLR gene. On the basis of the familial phenotype, 27 (17.2%) were classified as probable FH and 49 (31.2%) as affected by FCHL. Among probable FH children, 14 (51.8%) carried mutant LDLR alleles, giving an overall 8.9% prevalence of FH. Most of LDLR variants were already reported, but three new mutations G266C, T368M, and D451Y were identified. Beside increased TC and LDL-C (p<0.001), FH children showed decreased HDL-C (p<0.05) and higher prevalence of family history of CAD when compared to non-FH children. None presented tendon xanthomas. We estimated that LDL-C >3.9 mmol/L was the best cut off value for diagnosing FH in these children, showing 79% sensitivity and 71.0% specificity. We propose the use of a LDL-C cut off level associated with a family study to identify FH among HC children.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Biomarkers
  • Child
  • Child, Preschool
  • Cholesterol, LDL / blood*
  • Cohort Studies
  • Female
  • Genetic Testing*
  • Humans
  • Hyperlipoproteinemia Type II* / diagnosis
  • Hyperlipoproteinemia Type II* / genetics
  • Italy
  • Male
  • Mass Screening
  • Polymorphism, Single Nucleotide / genetics*
  • Receptors, LDL / genetics*
  • Reference Values

Substances

  • Biomarkers
  • Cholesterol, LDL
  • Receptors, LDL