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Efficient strategy for the molecular diagnosis of intractable early-onset epilepsy using targeted gene sequencing

Overview of attention for article published in BMC Medical Genomics, February 2018
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Title
Efficient strategy for the molecular diagnosis of intractable early-onset epilepsy using targeted gene sequencing
Published in
BMC Medical Genomics, February 2018
DOI 10.1186/s12920-018-0320-7
Pubmed ID
Authors

John Hoon Rim, Se Hee Kim, In Sik Hwang, Soon Sung Kwon, Jieun Kim, Hyun Woo Kim, Min Jung Cho, Ara Ko, Song Ee Youn, Jihun Kim, Young Mock Lee, Hee Jung Chung, Joon Soo Lee, Heung Dong Kim, Jong Rak Choi, Seung-Tae Lee, Hoon-Chul Kang

Abstract

We intended to evaluate diagnostic utility of a targeted gene sequencing by using next generation sequencing (NGS) panel in patients with intractable early-onset epilepsy (EOE) and find the efficient analytical step for increasing the diagnosis rate. We assessed 74 patients with EOE whose seizures started before 3 years of age using a customized NGS panel that included 172 genes. Single nucleotide variants (SNVs) and exonic and chromosomal copy number variations (CNVs) were intensively examined with our customized pipeline and crosschecked with commercial or pre-built software. Variants were filtered and prioritized by in-depth clinical review, and finally classified according to the American College of Medical Genetics and Genomics guidelines. Each case was further discussed in a monthly consensus meeting that included the participation of all laboratory personnel, bioinformaticians, geneticists, and clinicians. The NGS panel identified 28 patients (37.8%) with genetic abnormalities; 25 patients had pathogenic or likely pathogenic SNVs in 17 genes including SXTBP1 (n = 3), CDKL5 (n = 2), KCNQ2 (n = 2), SCN1A (n = 2), SYNGAP1 (n = 2), GNAO1 (n = 2), KCNT1 (n = 2), BRAT1, WWOX, ZEB2, CHD2, PRICKLE2, COL4A1, DNM1, SCN8A, MECP2, SLC9A6 (n = 1). The other 3 patients had pathogenic CNVs (2 duplications and 1 deletion) with varying sizes (from 2.5 Mb to 12 Mb). The overall diagnostic yield was 37.8% after following our step-by-step approach for clinical consensus. NGS is a useful diagnostic tool with great utility for patients with EOE. Diagnostic yields can be maximized with a standardized and team-based approach.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 14%
Other 10 13%
Student > Ph. D. Student 10 13%
Student > Doctoral Student 5 6%
Student > Bachelor 4 5%
Other 11 14%
Unknown 27 35%
Readers by discipline Count As %
Medicine and Dentistry 15 19%
Neuroscience 13 17%
Biochemistry, Genetics and Molecular Biology 11 14%
Nursing and Health Professions 2 3%
Agricultural and Biological Sciences 1 1%
Other 6 8%
Unknown 30 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 February 2018.
All research outputs
#20,462,806
of 23,020,670 outputs
Outputs from BMC Medical Genomics
#1,011
of 1,232 outputs
Outputs of similar age
#377,640
of 440,103 outputs
Outputs of similar age from BMC Medical Genomics
#22
of 29 outputs
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