Evidence map›Paper›PMID 32613771›Full record

ArticleMolecular genetics & genomic medicine2020

Determining the best candidates for next-generation sequencing-based gene panel for evaluation of early-onset epilepsy.

Jiwon Lee, Chung Lee, Chang-Seok Ki, Jeehun Lee

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 25 citations in OpenAlex.

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  11. Classifying epilepsy pragmatically: Past, present, and future.Journal of the neurological sciences · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Jiwon LeeDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-8456-684X
Chung LeeSamsung Genome Institute, Samsung Medical Center, Seoul, Korea.
Chang-Seok KiGC Genome, Yongin, Korea.ORCID 0000-0001-7679-8731
Jeehun LeeDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-8499-3307
Samsung Medical Center · KRGenome and Company (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic testing is an emerging diagnostic approach in early-onset epilepsy. Identification of the heterogeneous genetic causes of epilepsy may mitigate unnecessary evaluations and allow more accurate diagnosis and therapy. We aimed to uncover genetic causes of early-onset epilepsy using next-generation sequencing (NGS) to elucidate the diagnostic candidates and evaluate the diagnostic yield of targeted gene panel testing.

methodsWe evaluated 116 patients with early-onset epilepsy developed before 2 years old and normal brain imaging using a NGS-based targeted gene panel. Variants were classified according to their pathogenicity, and the diagnostic yield of the targeted genes and associated clinical factors were determined.

resultsWe detected 40 disease-causing variants with diagnostic yield of 34.5% (19 pathogenic, 21 likely pathogenic). Twelve variants were novel. The most commonly detected genes were SCN1A, associated with Dravet syndrome, and PRRT2, associated with benign familial infantile epilepsy. Other variants were identified in ARX, SCN2A, KCNQ2, PCDH19, STXBP1, DEPDC5, and SCN8A. The age of seizure onset and family history were associated with disease-causing variants.

conclusionNext-generation sequencing-based targeted testing is an effective diagnostic test, with 30%-40% comparable diagnostic yield. Patients with earlier seizure onset and family history of epilepsy were the best candidates for testing. For pediatric patients with early-onset epilepsy, genetic diagnosis is important for accurate prognosis and treatment.

Indexed as

Genetic LociCadherinsChild, PreschoolEpilepsyFemaleGenetic TestingGTPase-Activating ProteinsHigh-Throughput Nucleotide SequencingHomeodomain ProteinsHumansInfantInfant, NewbornKCNQ2 Potassium ChannelMaleMembrane ProteinsMunc18 ProteinsARX protein, humanCadherinsDEPDC5 protein, humanGTPase-Activating ProteinsHomeodomain ProteinsKCNQ2 Potassium ChannelKCNQ2 protein, humanMembrane ProteinsMunc18 ProteinsNAV1.1 Voltage-Gated Sodium ChannelNAV1.2 Voltage-Gated Sodium ChannelNAV1.6 Voltage-Gated Sodium ChannelNerve Tissue ProteinsPCDH19 protein, humanProtocadherinsPRRT2 protein, humanSCN1A protein, humanSCN2A protein, humanSCN8A protein, humanSTXBP1 protein, humanTranscription Factorsdiagnostic yieldearly-onset epilepsygenetic epilepsynext-generation sequencingtargeted epilepsy gene panel

Identifiers

PMID32613771
PMCPMC7507365
OpenAlexW3040254839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.