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TANGO2: expanding the clinical phenotype and spectrum of pathogenic variants

Overview of attention for article published in Genetics in Medicine, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

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14 X users
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2 Facebook pages

Citations

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47 Dimensions

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57 Mendeley
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Title
TANGO2: expanding the clinical phenotype and spectrum of pathogenic variants
Published in
Genetics in Medicine, September 2018
DOI 10.1038/s41436-018-0137-y
Pubmed ID
Authors

Jennifer N. Dines, Katie Golden-Grant, Amy LaCroix, Alison M. Muir, Dianne Laboy Cintrón, Kirsty McWalter, Megan T. Cho, Angela Sun, J. Lawrence Merritt, Jenny Thies, Dmitriy Niyazov, Barbara Burton, Katherine Kim, Leah Fleming, Rachel Westman, Peter Karachunski, Joline Dalton, Alice Basinger, Can Ficicioglu, Ingo Helbig, Manuela Pendziwiat, Hiltrud Muhle, Katherine L. Helbig, Almuth Caliebe, René Santer, Kolja Becker, Sharon Suchy, Ganka Douglas, Francisca Millan, Amber Begtrup, Kristin G. Monaghan, Heather C. Mefford

Abstract

TANGO2-related disorders were first described in 2016 and prior to this publication, only 15 individuals with TANGO2-related disorder were described in the literature. Primary features include metabolic crisis with rhabdomyolysis, encephalopathy, intellectual disability, seizures, and cardiac arrhythmias. We assess whether genotype and phenotype of TANGO2-related disorder has expanded since the initial discovery and determine the efficacy of exome sequencing (ES) as a diagnostic tool for detecting variants. We present a series of 14 individuals from 11 unrelated families with complex medical and developmental histories, in whom ES or microarray identified compound heterozygous or homozygous variants in TANGO2. The initial presentation of patients with TANGO2-related disorders can be variable, including primarily neurological presentations. We expand the phenotype and genotype for TANGO2, highlighting the variability of the disorder. TANGO2-related disorders can have a more diverse clinical presentation than previously anticipated. We illustrate the utility of routine ES data reanalysis whereby discovery of novel disease genes can lead to a diagnosis in previously unsolved cases and the need for additional copy-number variation analysis when ES is performed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 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 %
Other 8 14%
Student > Ph. D. Student 5 9%
Student > Postgraduate 5 9%
Student > Bachelor 5 9%
Professor 4 7%
Other 17 30%
Unknown 13 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Medicine and Dentistry 12 21%
Neuroscience 8 14%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 2 4%
Other 5 9%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 October 2018.
All research outputs
#4,156,731
of 25,712,965 outputs
Outputs from Genetics in Medicine
#1,254
of 2,956 outputs
Outputs of similar age
#74,908
of 351,756 outputs
Outputs of similar age from Genetics in Medicine
#50
of 92 outputs
Altmetric has tracked 25,712,965 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,956 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has gotten more attention than average, scoring higher than 57% 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 351,756 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 78% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.