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Genetic and Structural Analysis of a SKIV2L Mutation Causing Tricho-hepato-enteric Syndrome

Overview of attention for article published in Digestive Diseases and Sciences, February 2018
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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1 X user
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1 Wikipedia page

Citations

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14 Dimensions

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31 Mendeley
Title
Genetic and Structural Analysis of a SKIV2L Mutation Causing Tricho-hepato-enteric Syndrome
Published in
Digestive Diseases and Sciences, February 2018
DOI 10.1007/s10620-018-4983-x
Pubmed ID
Authors

Iddo Vardi, Ortal Barel, Michal Sperber, Michael Schvimer, Moran Nunberg, Michael Field, Jodie Ouahed, Dina Marek-Yagel, Lael Werner, Yael Haberman, Avishay Lahad, Yair Anikster, Gideon Rechavi, Iris Barshack, Joshua J. McElwee, Joseph Maranville, Raz Somech, Scott B. Snapper, Batia Weiss, Dror S. Shouval

Abstract

Advances in genomics have facilitated the discovery of monogenic disorders in patients with unique gastro-intestinal phenotypes. Syndromic diarrhea, also called tricho-hepato-enteric (THE) syndrome, results from deleterious mutations in SKIV2L or TTC37 genes. The main features of this disorder are intractable diarrhea, abnormal hair, facial dysmorphism, immunodeficiency and liver disease. To report on a patient with THE syndrome and present the genetic analysis that facilitated diagnosis. Whole-exome sequencing (WES) was performed in a 4-month-old female with history of congenital diarrhea and severe failure to thrive but without hair anomalies or dysmorphism. Since the parents were first-degree cousins, the analysis focused on an autosomal recessive model. Sanger sequencing was used to validate suspected variants. Mutated protein structure was modeled to assess the effect of the mutation on protein function. We identified an autosomal recessive C.1891G > A missense mutation (NM_006929) in SKIV2L gene that was previously described only in a compound heterozygous state as causing THE syndrome. The mutation was determined to be deleterious in multiple prediction models. Protein modeling suggested that the mutation has the potential to cause structural destabilization of SKIV2L, either through conformational changes, interference with the protein's packing, or changes at the protein's interface. THE syndrome can present with a broad range of clinical features in the neonatal period. WES is an important diagnostic tool in patients with congenital diarrhea and can facilitate diagnosis of various diseases presenting with atypical features.

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The data shown below were collected from the profile of 1 X user 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 13%
Student > Bachelor 3 10%
Researcher 3 10%
Other 2 6%
Student > Master 2 6%
Other 4 13%
Unknown 13 42%
Readers by discipline Count As %
Medicine and Dentistry 10 32%
Nursing and Health Professions 4 13%
Biochemistry, Genetics and Molecular Biology 1 3%
Agricultural and Biological Sciences 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 14 45%
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 11 April 2020.
All research outputs
#7,381,450
of 23,854,458 outputs
Outputs from Digestive Diseases and Sciences
#1,248
of 4,304 outputs
Outputs of similar age
#124,843
of 333,157 outputs
Outputs of similar age from Digestive Diseases and Sciences
#25
of 83 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,304 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 70% 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 333,157 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 61% of its contemporaries.
We're also able to compare this research output to 83 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 68% of its contemporaries.