Distinguishing 3 classes of corpus callosal abnormalities in consanguineous families

R. M. Hanna, S. E. Marsh, D. Swistun, L. Al-Gazali, M. S. Zaki, G. M. Abdel-Salam, A. Al-Tawari, L. Bastaki, H. Kayserili, A. Rajab, B. Boglárka, R. B. Dietrich, W. B. Dobyns, C. L. Truwit, S. Sattar, N. A. Chuang, E. H. Sherr, J. G. Gleeson

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)

Abstract

Objective: We sought to create a classification system for pediatric corpus callosal abnormalities (CCA) based upon midline sagittal brain MRI. We used the term CCA for patients with structural variants of the corpus callosum, excluding patients with interhemispheric cyst variant or pure dysplasia without hypoplasia. Currently, no system exists for nonsyndromic forms of CCA, and attempts to create such a system have been hampered by highly variable morphology in patients with sporadic CCA. We reasoned that any useful strategy should classify affected family members within the same type, and that phenotypic variability should be minimized in patients with recessive disease. Methods: We focused recruitment toward multiplex consanguineous families, ascertained 30 patients from 19 consanguineous families, and analyzed clinical features together with brain imaging. Results: We identified 3 major CCA classes, including hypoplasia, hypoplasia with dysplasia, and complete agenesis. Affected individuals within a given multiplex family usually displayed the same variant of the class of abnormality and they always displayed the same class of abnormality within each family, or they displayed complete agenesis. The system was validated among a second cohort of 10 sporadic patients with CCA. Conclusions: The data suggest that complete agenesis may be a common end-phenotype, and implicate multiple overlapping pathways in the etiology of CCA.

Original languageEnglish
Pages (from-to)373-382
Number of pages10
JournalNeurology
Volume76
Issue number4
DOIs
Publication statusPublished - Jan 25 2011

ASJC Scopus subject areas

  • Clinical Neurology

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