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Pathogenic copy number variants and SCN1A mutations in patients with intellectual disability and childhood-onset epilepsy

Overview of attention for article published in BMC Medical Genomics, April 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 (75th percentile)

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Title
Pathogenic copy number variants and SCN1A mutations in patients with intellectual disability and childhood-onset epilepsy
Published in
BMC Medical Genomics, April 2016
DOI 10.1186/s12881-016-0294-2
Pubmed ID
Authors

Andrew E. Fry, Elliott Rees, Rose Thompson, Kiran Mantripragada, Penny Blake, Glyn Jones, Sian Morgan, Sian Jose, Hood Mugalaasi, Hayley Archer, Emma McCann, Angus Clarke, Clare Taylor, Sally Davies, Frances Gibbon, Johann Te Water Naude, Louise Hartley, Gareth Thomas, Catharine White, Jaya Natarajan, Rhys H. Thomas, Cheney Drew, Seo-Kyung Chung, Mark I. Rees, Peter Holmans, Michael J. Owen, George Kirov, Daniela T. Pilz, Michael P. Kerr

Abstract

Copy number variants (CNVs) have been linked to neurodevelopmental disorders such as intellectual disability (ID), autism, epilepsy and psychiatric disease. There are few studies of CNVs in patients with both ID and epilepsy. We evaluated the range of rare CNVs found in 80 Welsh patients with ID or developmental delay (DD), and childhood-onset epilepsy. We performed molecular cytogenetic testing by single nucleotide polymorphism array or microarray-based comparative genome hybridisation. 8.8 % (7/80) of the patients had at least one rare CNVs that was considered to be pathogenic or likely pathogenic. The CNVs involved known disease genes (EHMT1, MBD5 and SCN1A) and imbalances in genomic regions associated with neurodevelopmental disorders (16p11.2, 16p13.11 and 2q13). Prompted by the observation of two deletions disrupting SCN1A we undertook further testing of this gene in selected patients. This led to the identification of four pathogenic SCN1A mutations in our cohort. We identified five rare de novo deletions and confirmed the clinical utility of array analysis in patients with ID/DD and childhood-onset epilepsy. This report adds to our clinical understanding of these rare genomic disorders and highlights SCN1A mutations as a cause of ID and epilepsy, which can easily be overlooked in adults.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Student > Bachelor 12 15%
Researcher 10 12%
Student > Postgraduate 5 6%
Student > Master 4 5%
Other 12 15%
Unknown 22 27%
Readers by discipline Count As %
Medicine and Dentistry 13 16%
Biochemistry, Genetics and Molecular Biology 12 15%
Neuroscience 8 10%
Agricultural and Biological Sciences 6 7%
Psychology 4 5%
Other 9 11%
Unknown 29 36%
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 10 March 2020.
All research outputs
#7,047,316
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#467
of 2,444 outputs
Outputs of similar age
#92,965
of 312,374 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 32 outputs
Altmetric has tracked 25,373,627 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 80% 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 312,374 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 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.