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Related Experiment Videos

Mutations in the human DHCR7 gene.

M Witsch-Baumgartner1, J Löffler, G Utermann

  • 1Institute of Medical Biology and Human Genetics, University of Innsbruck, Innsbruck, Austria.

Human Mutation
|March 10, 2001
PubMed
Summary
This summary is machine-generated.

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Smith-Lemli-Opitz syndrome (SLOS) is a metabolic disorder caused by DHCR7 gene mutations affecting cholesterol biosynthesis. Specific mutation types correlate with disease severity, and mutation frequencies vary geographically.

Area of Science:

  • Genetics
  • Biochemistry
  • Metabolic Disorders

Background:

  • Smith-Lemli-Opitz syndrome (SLOS) is an autosomal recessive disorder.
  • It is characterized by congenital malformations, facial dysmorphism, and intellectual disability.
  • SLOS results from mutations in the DHCR7 gene, encoding Delta7-sterol reductase, crucial for cholesterol biosynthesis.

Purpose of the Study:

  • To review mutations in the DHCR7 gene in SLOS patients.
  • To establish genotype-phenotype correlations.
  • To analyze geographic variations in DHCR7 mutation spectra.

Main Methods:

  • Review of 73 identified DHCR7 mutations, including 10 novel ones.
  • Categorization of mutations by type (missense, nonsense, splice site, insertions, deletions) and protein domain (transmembrane, fourth cytoplasmic loop, C-terminus).

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  • Analysis of expression studies, clinical severity scores, and biochemical data.

    • Main Results:

    • The majority of mutations (65) are missense, clustering in specific protein domains.
    • Expression studies show decreased protein stability for missense mutations.
    • Null and 4L mutations correlate with severe SLOS phenotypes, while TM and CT mutations correlate with milder phenotypes.
    • Significant geographic differences in common DHCR7 mutation frequencies were observed among European populations.

    Conclusions:

    • Genotype-phenotype correlations are established for DHCR7 mutations in SLOS.
    • Mutation location and type significantly influence disease severity.
    • Geographic variations in mutation prevalence suggest distinct mutational patterns in different populations.