Elaborating the phenotypic spectrum associated with mutations in ARFGEF2: case study and literature review

Eur J Paediatr Neurol. 2013 Nov;17(6):666-70. doi: 10.1016/j.ejpn.2013.05.002. Epub 2013 Jun 4.

Abstract

Background: The BIG2 protein, coded by ARFGEF2 indirectly assists neuronal proliferation and migration during cortical development. Mutations in ARFGEF2 have been reported as a rare cause of periventricular heterotopia.

Methods: The presence of periventricular heterotopia, acquired microcephaly and suspected recessive inheritance led to mutation analysis of ARFGEF2 in two affected siblings and their healthy consanguineous parents, after mutations in FLNA had been ruled out.

Results: A homozygous c.242_249delins7 (p.Pro81fs) mutation in exon 3 of ARFGEF2 was identified in the siblings. The alteration is a combination of 2 missense mutations (c.242C > A and c.247G > T) and a frameshift mutation (c.249delA) resulting in a premature stop codon. The clinical phenotype was characterized by dystonic quadriplegia, marked developmental delay, obstructive cardiomyopathy, recurrent infections and feeding difficulties. Degenerative features included early regression, acquired microcephaly and cerebral atrophy. Brain MRI revealed bilateral periventricular heterotopia, small corpus callosum, cerebral and hippocampal atrophy and hyperintensity in the putamen.

Conclusion: Mutations in ARFGEF2 can be anticipated based on characteristic clinical and imaging features.

Keywords: ARFGEF2; BIG2 protein; Dystonia; Microcephaly; Periventricular nodular heterotopia.

Publication types

  • Case Reports
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Brain / pathology
  • DNA Mutational Analysis
  • Family Health
  • Guanine Nucleotide Exchange Factors / genetics*
  • Humans
  • Infant
  • Magnetic Resonance Imaging
  • Male
  • Mutation, Missense / genetics*
  • Periventricular Nodular Heterotopia / genetics*
  • Phenotype

Substances

  • ARFGEF2 protein, human
  • Guanine Nucleotide Exchange Factors