Evidence map›Paper›PMID 30977854›Full record

ArticleJAMA network open2019

Use of a Dynamic Genetic Testing Approach for Childhood-Onset Epilepsy.

Jorune Balciuniene, Elizabeth T DeChene, Gozde Akgumus, Edward J Romasko, Kajia Cao, Holly A Dubbs, Surabhi Mulchandani, Nancy B Spinner, Laura K Conlin, Eric D Marsh and 4 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Clinical signatures of genetic epilepsies precede diagnosis in electronic medical records of 32,000 individuals.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  6. Article
  7. Article
  8. The impact of SETBP1 mutations in neurological diseases and cancer.Genes to cells : devoted to molecular & cellular mechanisms · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Genetic Testing in Pediatric Epilepsy.Indian journal of pediatrics · 2021
    Review
  19. Article
  20. Review
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

14 authors at 2 institutions in 1 country.

Jorune BalciunieneDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Elizabeth T DeCheneDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Gozde AkgumusDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Edward J RomaskoDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Kajia CaoDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Holly A DubbsDivision of Neurology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Surabhi MulchandaniDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Nancy B SpinnerDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Laura K ConlinDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Eric D MarshDivision of Neurology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Ethan GoldbergDivision of Neurology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Ingo HelbigDivision of Neurology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Mahdi SarmadyDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Ahmad Abou TayounDivision of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · US

Funding

The Intellectual and Developmental Disabilities Research Center at CHOP/PennU54HD086984 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI ROBINSON, MICHAEL BYRNE · 2016 to 2020
$6.3M
Dynamic two-photon calcium imaging and optogenetic manipulation of epileptic brain circuits in an experimental model of temporal lobe epilepsyK08NS097633 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI GOLDBERG, ETHAN M · 2016 to 2020
$921k
NICHD NIH HHS U54 HD086984NINDS NIH HHS K08 NS097633
6 · The paper itself

Abstract

Importance: Although genetic testing is important for bringing precision medicine to children with epilepsy, it is unclear what genetic testing strategy is best in maximizing diagnostic yield. Objectives: To evaluate the diagnostic yield of an exome-based gene panel for childhood epilepsy and discuss the value of follow-up testing. Design, Setting, and Participants: A case series study was conducted on data from clinical genetic testing at Children's Hospital of Philadelphia was conducted from September 26, 2016, to January 8, 2018. Initial testing targeted 100 curated epilepsy genes for sequence and copy number analysis in 151 children with idiopathic epilepsy referred consecutively by neurologists. Additional genetic testing options were offered afterward. Exposures: Clinical genetic testing. Main Outcomes and Measures: Molecular diagnostic findings. Results: Of 151 patients (84 boys [55.6%]; median age, 4.2 years [interquartile range, 1.4-8.7 years]), 16 children (10.6%; 95% CI, 6%-16%) received a diagnosis after initial panel analysis. Parental testing for 15 probands with inconclusive results revealed de novo variants in 7 individuals (46.7%), resulting in an overall diagnostic yield of 15.3% (23 of 151; 95% CI, 9%-21%). Twelve probands with nondiagnostic panel findings were reflexed to exome sequencing, and 4 were diagnostic (33.3%; 95% CI, 6%-61%), raising the overall diagnostic yield to 17.9% (27 of 151; 95% CI, 12%-24%). The yield was highest (17 of 44 [38.6%; 95% CI, 24%-53%]) among probands with epilepsy onset in infancy (age, 1-12 months). Panel diagnostic findings involved 16 genes: SCN1A (n = 4), PRRT2 (n = 3), STXBP1 (n = 2), IQSEC2 (n = 2), ATP1A2, ATP1A3, CACNA1A, GABRA1, KCNQ2, KCNT1, SCN2A, SCN8A, DEPDC5, TPP1, PCDH19, and UBE3A (all n = 1). Exome sequencing analysis identified 4 genes: SMC1A, SETBP1, NR2F1, and TRIT1. For the remaining 124 patients, analysis of 13 additional genes implicated in epilepsy since the panel was launched in 2016 revealed promising findings in 6 patients. Conclusions and Relevance: Exome-based targeted panels appear to enable rapid analysis of a preselected set of genes while retaining flexibility in gene content. Successive genetic workup should include parental testing of select probands with inconclusive results and reflex to whole-exome trio analysis for the remaining nondiagnostic cases. Periodic reanalysis is needed to capture information in newly identified disease genes.

Indexed as

ChildChild, PreschoolEpilepsyExome SequencingFemaleGenetic Predisposition to DiseaseGenetic TestingHumansInfantMaleTripeptidyl-Peptidase 1Tripeptidyl-Peptidase 1

Identifiers

PMID30977854
PMCPMC6481455
OpenAlexW2935798427

What OpenQuestion holds

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Registered trials

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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.