Evidence map›Paper›PMID 29056246›Full record

ArticlePediatric neurology2017

Diagnostic Yield From 339 Epilepsy Patients Screened on a Clinical Gene Panel.

Kameryn M Butler, Cristina da Silva, John J Alexander, Madhuri Hegde, Andrew Escayg

Abstract read
In one paragraph

Article in Pediatric neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Compound HeterozygousNeuroSci · 2025
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  10. A Novel Loss of Function Variant inMolecular syndromology · 2025
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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

5 authors.

Kameryn M ButlerDepartment of Human Genetics, Emory University, Atlanta, Georgia.
Cristina da SilvaDepartment of Human Genetics, Emory University, Atlanta, Georgia; EGL Genetics, Tucker, Georgia.
John J AlexanderDepartment of Human Genetics, Emory University, Atlanta, Georgia; EGL Genetics, Tucker, Georgia.
Madhuri HegdeDepartment of Human Genetics, Emory University, Atlanta, Georgia.
Andrew EscaygDepartment of Human Genetics, Emory University, Atlanta, Georgia. Electronic address: aescayg@emory.edu.

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM008490 · NIGMS · EMORY UNIVERSITY · PI BOSS, JEREMY M. · 1993 to 2022
$8.0M
NIGMS NIH HHS T32 GM008490
6 · The paper itself

Abstract

backgroundThe contribution of genetic factors to epilepsy has long been recognized and has been estimated to play a role in 70% to 80% of cases. Identification of a pathogenic variant can help families to better cope with the disorder, allows for genetic counseling to determine recurrence risk, and in some cases, can directly influence treatment options. In this study, we determined the diagnostic yield of a clinical gene panel applied to an unselected cohort of epilepsy patients.

methodsVariant reports from 339 clinically referred epilepsy patients screened using a 110-gene panel were retrospectively reviewed. Variants were classified using the American College of Medical Genetics and Genomics guidelines.

resultsPathogenic or likely pathogenic variants were identified in 62 individuals (18%) and potentially causative variants were identified in an additional 21 individuals (6%). Causative and potentially causative variants were most frequently identified in SCN1A (n = 15) and KCNQ2 (n = 10). Other genes in which disease-causing variants were identified in multiple individuals included CDKL5, SCN2A, SCN8A, SCN1B, STXBP1, TPP1, PCDH19, CACNA1A, GABRA1, GRIN2A, SLC2A1, and TSC2. Sixteen additional genes had variants identified in single individuals.

conclusionsWe identified 87 variants in 30 different genes that could explain disease, of which 54% were not previously reported. This study confirms the utility of targeted gene panel analysis in epilepsy and highlights several factors to improve the yield of diagnostic genetic testing, including the critical need for clinical phenotype information and parental samples, microarray analysis for whole exon deletions and duplications, and frequent update of panels to incorporate new disease genes.

Indexed as

Genetic Predisposition to DiseaseAdolescentAdultAgedChildChild, PreschoolEpilepsyFemaleHumansInfantMaleMiddle AgedMutationPathology, MolecularRetrospective StudiesTripeptidyl-Peptidase 1Tripeptidyl-Peptidase 1diagnostic yieldepilepsyepileptic encephalopathygenetic testing

Identifiers

PMID29056246
PMCPMC6885003

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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.