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Molecular diversity of combined and complex dystonia: insights from diagnostic exome sequencing

Overview of attention for article published in neurogenetics, August 2017
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Citations

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57 Mendeley
Title
Molecular diversity of combined and complex dystonia: insights from diagnostic exome sequencing
Published in
neurogenetics, August 2017
DOI 10.1007/s10048-017-0521-9
Pubmed ID
Authors

Michael Zech, Robert Jech, Matias Wagner, Tobias Mantel, Sylvia Boesch, Michael Nocker, Angela Jochim, Riccardo Berutti, Petra Havránková, Anna Fečíková, David Kemlink, Jan Roth, Tim M. Strom, Werner Poewe, Evžen Růžička, Bernhard Haslinger, Juliane Winkelmann

Abstract

Combined and complex dystonias are heterogeneous movement disorders combining dystonia with other motor and/or systemic signs. Although we are beginning to understand the diverse molecular causes of these disease entities, clinical pattern recognition and conventional genetic workup achieve an etiological diagnosis only in a minority of cases. Our goal was to provide a window into the variable genetic origins and distinct clinical patterns of combined/complex dystonia more broadly. Between August 2016 and January 2017, we applied whole-exome sequencing to a cohort of nine patients with varied combined and/or complex dystonic presentations, being on a diagnostic odyssey. Bioinformatics analyses, co-segregation studies, and sequence-interpretation algorithms were employed to detect causative mutations. Comprehensive clinical review was undertaken to define the phenotypic spectra and optimal management strategies. On average, we observed a delay in diagnosis of 23 years before whole-exome analysis enabled determination of each patient's genetic defect. Whereas mutations in ACTB, ATP1A3, ADCY5, and SGCE were associated with particular phenotypic clues, trait manifestations arising from mutations in PINK1, MRE11A, KMT2B, ATM, and SLC6A1 were different from those previously reported in association with these genes. Apart from improving counseling for our entire cohort, genetic findings had actionable consequences on preventative measures and therapeutic interventions for five patients. Our investigation confirms unique genetic diagnoses, highlights key clinical features and phenotypic expansions, and suggests whole-exome sequencing as a first-tier diagnostic for combined/complex dystonia. These results might stimulate independent teams to extend the scope of agnostic genetic screening to this particular phenotypic group that remains poorly characterized through existing studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 12%
Student > Postgraduate 6 11%
Other 5 9%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Other 16 28%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Biochemistry, Genetics and Molecular Biology 7 12%
Neuroscience 4 7%
Unspecified 2 4%
Arts and Humanities 2 4%
Other 7 12%
Unknown 23 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2019.
All research outputs
#6,451,039
of 22,914,829 outputs
Outputs from neurogenetics
#104
of 379 outputs
Outputs of similar age
#103,159
of 315,870 outputs
Outputs of similar age from neurogenetics
#2
of 5 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 379 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,870 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.