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Clinical whole-genome sequencing in severe early-onset epilepsy reveals new genes and improves molecular diagnosis

Overview of attention for article published in Human Molecular Genetics, January 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
policy
1 policy source
twitter
16 X users
wikipedia
1 Wikipedia page

Citations

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221 Dimensions

Readers on

mendeley
215 Mendeley
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Title
Clinical whole-genome sequencing in severe early-onset epilepsy reveals new genes and improves molecular diagnosis
Published in
Human Molecular Genetics, January 2014
DOI 10.1093/hmg/ddu030
Pubmed ID
Authors

Hilary C. Martin, Grace E. Kim, Alistair T. Pagnamenta, Yoshiko Murakami, Gemma L. Carvill, Esther Meyer, Richard R. Copley, Andrew Rimmer, Giulia Barcia, Matthew R. Fleming, Jack Kronengold, Maile R. Brown, Karl A. Hudspith, John Broxholme, Alexander Kanapin, Jean-Baptiste Cazier, Taroh Kinoshita, Rima Nabbout, David Bentley, Gil McVean, Sinéad Heavin, Zenobia Zaiwalla, Tony McShane, Heather C. Mefford, Deborah Shears, Helen Stewart, Manju A. Kurian, Ingrid E. Scheffer, Edward Blair, Peter Donnelly, Leonard K. Kaczmarek, Jenny C. Taylor

Abstract

In severe early-onset epilepsy, precise clinical and molecular genetic diagnosis is complex, as many metabolic and electro-physiological processes have been implicated in disease causation. The clinical phenotypes share many features such as complex seizure types and developmental delay. Molecular diagnosis has historically been confined to sequential testing of candidate genes known to be associated with specific sub-phenotypes, but the diagnostic yield of this approach can be low. We conducted whole-genome sequencing (WGS) on six patients with severe early-onset epilepsy who had previously been refractory to molecular diagnosis, and their parents. Four of these patients had a clinical diagnosis of Ohtahara Syndrome (OS) and two patients had severe non-syndromic early-onset epilepsy (NSEOE). In two OS cases, we found de novo non-synonymous mutations in the genes KCNQ2 and SCN2A. In a third OS case, WGS revealed paternal isodisomy for chromosome 9, leading to identification of the causal homozygous missense variant in KCNT1, which produced a substantial increase in potassium channel current. The fourth OS patient had a recessive mutation in PIGQ that led to exon skipping and defective glycophosphatidyl inositol biosynthesis. The two patients with NSEOE had likely pathogenic de novo mutations in CBL and CSNK1G1, respectively. Mutations in these genes were not found among 500 additional individuals with epilepsy. This work reveals two novel genes for OS, KCNT1 and PIGQ. It also uncovers unexpected genetic mechanisms and emphasizes the power of WGS as a clinical tool for making molecular diagnoses, particularly for highly heterogeneous disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Unknown 214 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 21%
Student > Ph. D. Student 27 13%
Student > Master 24 11%
Student > Doctoral Student 17 8%
Student > Bachelor 17 8%
Other 43 20%
Unknown 41 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 20%
Medicine and Dentistry 44 20%
Agricultural and Biological Sciences 40 19%
Neuroscience 19 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 17 8%
Unknown 46 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 22 October 2019.
All research outputs
#878,568
of 25,085,910 outputs
Outputs from Human Molecular Genetics
#140
of 8,271 outputs
Outputs of similar age
#9,637
of 319,676 outputs
Outputs of similar age from Human Molecular Genetics
#6
of 96 outputs
Altmetric has tracked 25,085,910 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 8,271 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 98% 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 319,676 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 96% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.