↓ Skip to main content

Targeted resequencing in epileptic encephalopathies identifies de novo mutations in CHD2 and SYNGAP1

Overview of attention for article published in Nature Genetics, May 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Citations

dimensions_citation
558 Dimensions

Readers on

mendeley
423 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Targeted resequencing in epileptic encephalopathies identifies de novo mutations in CHD2 and SYNGAP1
Published in
Nature Genetics, May 2013
DOI 10.1038/ng.2646
Pubmed ID
Authors

Gemma L Carvill, Sinéad B Heavin, Simone C Yendle, Jacinta M McMahon, Brian J O'Roak, Joseph Cook, Adiba Khan, Michael O Dorschner, Molly Weaver, Sophie Calvert, Stephen Malone, Geoffrey Wallace, Thorsten Stanley, Ann M E Bye, Andrew Bleasel, Katherine B Howell, Sara Kivity, Mark T Mackay, Victoria Rodriguez-Casero, Richard Webster, Amos Korczyn, Zaid Afawi, Nathanel Zelnick, Tally Lerman-Sagie, Dorit Lev, Rikke S Møller, Deepak Gill, Danielle M Andrade, Jeremy L Freeman, Lynette G Sadleir, Jay Shendure, Samuel F Berkovic, Ingrid E Scheffer, Heather C Mefford

Abstract

Epileptic encephalopathies are a devastating group of epilepsies with poor prognosis, of which the majority are of unknown etiology. We perform targeted massively parallel resequencing of 19 known and 46 candidate genes for epileptic encephalopathy in 500 affected individuals (cases) to identify new genes involved and to investigate the phenotypic spectrum associated with mutations in known genes. Overall, we identified pathogenic mutations in 10% of our cohort. Six of the 46 candidate genes had 1 or more pathogenic variants, collectively accounting for 3% of our cohort. We show that de novo CHD2 and SYNGAP1 mutations are new causes of epileptic encephalopathies, accounting for 1.2% and 1% of cases, respectively. We also expand the phenotypic spectra explained by SCN1A, SCN2A and SCN8A mutations. To our knowledge, this is the largest cohort of cases with epileptic encephalopathies to undergo targeted resequencing. Implementation of this rapid and efficient method will change diagnosis and understanding of the molecular etiologies of these disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 423 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Italy 2 <1%
Spain 2 <1%
Colombia 1 <1%
Finland 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Portugal 1 <1%
Iceland 1 <1%
Other 3 <1%
Unknown 407 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 85 20%
Researcher 75 18%
Student > Bachelor 38 9%
Student > Master 31 7%
Student > Doctoral Student 24 6%
Other 83 20%
Unknown 87 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 20%
Medicine and Dentistry 83 20%
Biochemistry, Genetics and Molecular Biology 75 18%
Neuroscience 44 10%
Computer Science 5 1%
Other 32 8%
Unknown 100 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 15 April 2023.
All research outputs
#721,397
of 26,017,215 outputs
Outputs from Nature Genetics
#1,354
of 7,639 outputs
Outputs of similar age
#5,212
of 210,016 outputs
Outputs of similar age from Nature Genetics
#18
of 70 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done well, scoring higher than 82% 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 210,016 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 70 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 74% of its contemporaries.