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Mutations in the tail domain of DYNC1H1 cause dominant spinal muscular atrophy

Authors :
Peggy Allred
Robert H. Baloh
Duanduan Ma
Agnes Jani-Acsadi
Alan Pestronk
Shaughn Bell
Mariacristina Scoto
Matthew B. Harms
E.P. Tuck
Richard B. Vallee
Lindsey J. Miller
Mary M. Reilly
M. Al-Lozi
Francesco Muntoni
Kassandra M. Ori-McKenney
Michael E. Shy
S. Masi
Source :
Neurology. 78(22)
Publication Year :
2012

Abstract

Objective: To identify the gene responsible for 14q32-linked dominant spinal muscular atrophy with lower extremity predominance (SMA-LED, OMIM 158600). Methods: Target exon capture and next generation sequencing was used to analyze the 73 genes in the 14q32 linkage interval in 3 SMA-LED family members. Candidate gene sequencing in additional dominant SMA families used PCR and pooled target capture methods. Patient fibroblasts were biochemically analyzed. Results: Regional exome sequencing of all candidate genes in the 14q32 interval in the original SMA-LED family identified only one missense mutation that segregated with disease stateā€”a mutation in the tail domain of DYNC1H1 (I584L). Sequencing of DYNC1H1 in 32 additional probands with lower extremity predominant SMA found 2 additional heterozygous tail domain mutations (K671E and Y970C), confirming that multiple different mutations in the same domain can cause a similar phenotype. Biochemical analysis of dynein purified from patient-derived fibroblasts demonstrated that the I584L mutation dominantly disrupted dynein complex stability and function. Conclusions: We demonstrate that mutations in the tail domain of the heavy chain of cytoplasmic dynein ( DYNC1H1 ) cause spinal muscular atrophy and provide experimental evidence that a human DYNC1H1 mutation disrupts dynein complex assembly and function. DYNC1H1 mutations were recently found in a family with Charcot-Marie-Tooth disease (type 2O) and in a child with mental retardation. Both of these phenotypes show partial overlap with the spinal muscular atrophy patients described here, indicating that dynein dysfunction is associated with a range of phenotypes in humans involving neuronal development and maintenance.

Details

ISSN :
1526632X
Volume :
78
Issue :
22
Database :
OpenAIRE
Journal :
Neurology
Accession number :
edsair.doi.dedup.....a1d9cf6a7ff07e0bf6bf72b66492c0d5