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Updated: Feb 15, 2026

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
Published on: August 20, 2019
Novel DCC variants in congenital mirror movements and evaluation of disease-associated missense variants
Tatjana Bierhals1, Georg Christoph Korenke2, Martina Baethmann3
1Institut für Humangenetik, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Abstract:
Congenital mirror movements (CMM) are involuntary movements of one side of the body that mirror intentional movements of the other side. Heterozygous missense, frameshift and nonsense variants and small intragenic deletions in DCC cause CMM, isolated agenesis of the corpus callosum (ACC) or both. We report here the clinical phenotype and natural history of ten individuals with CMM carrying five different monoallelic DCC variants, including the missense variant p.(Trp273Arg), two duplications, one deletion and one deletion-insertion; all are novel and absent from databases. We re-evaluated the 15 known disease-associated DCC missense variants by determining minor allele frequency (MAF) and pathogenicity using four in silico tools combining previous pathogenicity scores and the ACMG/AMP standards and guidelines and classified them in three groups. Group I contains three DCC missense variants that are rather unlikely to be associated with a higher risk to CMM and/or ACC. The five variants in group II may represent susceptibility factors to altered midline crossing in the central nervous system. Group III includes seven variants absent in publically available databases and representing possible pathogenic alleles, with four predicted to have a severe impact on protein function. Based on this data and the variable expressivity and incomplete penetrance present in heterozygous carriers of a DCC variant, classification and clinical interpretation of missense variants is challenging in the absence of evidence of pathogenicity originated from functional studies. Evaluation of missense variants by MAF and a weighted combination of several computational algorithms is recommended.
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