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Temple-Baraitser Syndrome and Zimmermann-Laband Syndrome: one clinical entity?

Overview of attention for article published in BMC Medical Genomics, June 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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3 X users
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3 Wikipedia pages

Citations

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24 Dimensions

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32 Mendeley
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Title
Temple-Baraitser Syndrome and Zimmermann-Laband Syndrome: one clinical entity?
Published in
BMC Medical Genomics, June 2016
DOI 10.1186/s12881-016-0304-4
Pubmed ID
Authors

André Mégarbané, Rashid Al-Ali, Nancy Choucair, Monko Lek, Ena Wang, Moncef Ladjimi, Catherine M. Rose, Remy Hobeika, Yvette Macary, Ramzi Temanni, Puthen V. Jithesh, Aouatef Chouchane, Konduru S Sastry, Remy Thomas, Sara Tomei, Wei Liu, Francesco M. Marincola, Daniel MacArthur, Lotfi Chouchane

Abstract

KCNH1 encodes a voltage-gated potassium channel that is predominantly expressed in the central nervous system. Mutations in this gene were recently found to be responsible for Temple-Baraitser Syndrome (TMBTS) and Zimmermann-Laband syndrome (ZLS). Here, we report a new case of TMBTS diagnosed in a Lebanese child. Whole genome sequencing was carried out on DNA samples of the proband and his parents to identify mutations associated with this disease. Sanger sequencing was performed to confirm the presence of detected variants. Whole genome sequencing revealed three missense mutations in TMBTS patient: c.1042G > A in KCNH1, c.2131 T > C in STK36, and c.726C > A in ZNF517. According to all predictors, mutation in KCNH1 is damaging de novo mutation that results in substitution of Glycine by Arginine, i.e., p.(Gly348Arg). This mutation was already reported in a patient with ZLS that could affect the connecting loop between helices S4-S5 of KCNH1 with a gain of function effect. Our findings demonstrate that KCNH1 mutations cause TMBTS and expand the mutational spectrum of KCNH1 in TMBTS. In addition, all cases of TMBTS were reviewed and compared to ZLS. We suggest that the two syndromes are a continuum and that the variability in the phenotypes is the result of the involvement of genetic modifiers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Student > Master 5 16%
Student > Bachelor 4 13%
Researcher 3 9%
Professor 2 6%
Other 4 13%
Unknown 7 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 34%
Medicine and Dentistry 6 19%
Agricultural and Biological Sciences 5 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Computer Science 1 3%
Other 1 3%
Unknown 7 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 April 2022.
All research outputs
#7,205,554
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#481
of 2,444 outputs
Outputs of similar age
#109,645
of 360,136 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 26 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 79% 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 360,136 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 69% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.