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A Missense Mutation in KCTD17 Causes Autosomal Dominant Myoclonus-Dystonia

Overview of attention for article published in American Journal of Human Genetics, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
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Title
A Missense Mutation in KCTD17 Causes Autosomal Dominant Myoclonus-Dystonia
Published in
American Journal of Human Genetics, May 2015
DOI 10.1016/j.ajhg.2015.04.008
Pubmed ID
Authors

Niccolo E. Mencacci, Ignacio Rubio-Agusti, Anselm Zdebik, Friedrich Asmus, Marthe H.R. Ludtmann, Mina Ryten, Vincent Plagnol, Ann-Kathrin Hauser, Sara Bandres-Ciga, Conceição Bettencourt, Paola Forabosco, Deborah Hughes, Marc M.P. Soutar, Kathryn Peall, Huw R. Morris, Daniah Trabzuni, Mehmet Tekman, Horia C. Stanescu, Robert Kleta, Miryam Carecchio, Giovanna Zorzi, Nardo Nardocci, Barbara Garavaglia, Ebba Lohmann, Anne Weissbach, Christine Klein, John Hardy, Alan M. Pittman, Thomas Foltynie, Andrey Y. Abramov, Thomas Gasser, Kailash P. Bhatia, Nicholas W. Wood

Abstract

Myoclonus-dystonia (M-D) is a rare movement disorder characterized by a combination of non-epileptic myoclonic jerks and dystonia. SGCE mutations represent a major cause for familial M-D being responsible for 30%-50% of cases. After excluding SGCE mutations, we identified through a combination of linkage analysis and whole-exome sequencing KCTD17 c.434 G>A p.(Arg145His) as the only segregating variant in a dominant British pedigree with seven subjects affected by M-D. A subsequent screening in a cohort of M-D cases without mutations in SGCE revealed the same KCTD17 variant in a German family. The clinical presentation of the KCTD17-mutated cases was distinct from the phenotype usually observed in M-D due to SGCE mutations. All cases initially presented with mild myoclonus affecting the upper limbs. Dystonia showed a progressive course, with increasing severity of symptoms and spreading from the cranio-cervical region to other sites. KCTD17 is abundantly expressed in all brain regions with the highest expression in the putamen. Weighted gene co-expression network analysis, based on mRNA expression profile of brain samples from neuropathologically healthy individuals, showed that KCTD17 is part of a putamen gene network, which is significantly enriched for dystonia genes. Functional annotation of the network showed an over-representation of genes involved in post-synaptic dopaminergic transmission. Functional studies in mutation bearing fibroblasts demonstrated abnormalities in endoplasmic reticulum-dependent calcium signaling. In conclusion, we demonstrate that the KCTD17 c.434 G>A p.(Arg145His) mutation causes autosomal dominant M-D. Further functional studies are warranted to further characterize the nature of KCTD17 contribution to the molecular pathogenesis of M-D.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 <1%
Unknown 103 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 21%
Student > Ph. D. Student 19 18%
Student > Master 9 9%
Student > Doctoral Student 8 8%
Professor 7 7%
Other 17 16%
Unknown 22 21%
Readers by discipline Count As %
Medicine and Dentistry 20 19%
Biochemistry, Genetics and Molecular Biology 18 17%
Neuroscience 16 15%
Agricultural and Biological Sciences 15 14%
Psychology 3 3%
Other 4 4%
Unknown 28 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 13 September 2020.
All research outputs
#5,240,498
of 25,374,917 outputs
Outputs from American Journal of Human Genetics
#2,335
of 5,879 outputs
Outputs of similar age
#61,472
of 278,956 outputs
Outputs of similar age from American Journal of Human Genetics
#31
of 49 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 59% 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 278,956 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.