Evidence map›Paper›PMID 33949685›Full record

ArticleEpilepsia2021

Modeling seizures in the Human Phenotype Ontology according to contemporary ILAE concepts makes big phenotypic data tractable.

David Lewis-Smith, Peter D Galer, Ganna Balagura, Hugh Kearney, Shiva Ganesan, Mahgenn Cosico, Margaret O'Brien, Priya Vaidiswaran, Roland Krause, Colin A Ellis and 3 more

Abstract read
In one paragraph

Article in Epilepsia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  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. Article
  9. Article
  10. Review
  11. Current practice in diagnostic genetic testing of the epilepsiesEpileptic disorders : international epilepsy journal with videotape · 2022
    Article
  12. Review
  13. Article
  14. Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology.American journal of medical genetics. Part C, Seminars in medical genetics · 2022
    Article
  15. 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

13 authors.

David Lewis-SmithTranslational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, UK.ORCID 0000-0002-1735-8178
Peter D GalerDivision of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-6408-0906
Ganna BalaguraMedical Genetics Unit, IRCSS Giannina Gaslini Institute, Genoa, Italy.ORCID 0000-0003-0212-8318
Hugh KearneyFutureNeuro the SFI Research Centre for Chronic and Rare Neurological Diseases, Royal College of Surgeons in Ireland, Dublin, Ireland.ORCID 0000-0003-2320-3487
Shiva GanesanDivision of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-2518-6505
Mahgenn CosicoDivision of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0001-5640-7473
Margaret O'BrienDivision of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Priya VaidiswaranDivision of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0003-4549-8749
Roland KrauseLuxembourg Centre for Systems Biomedicine, Université du Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID 0000-0001-9938-7126
Colin A EllisThe Epilepsy NeuroGenetics Initiative (ENGIN), Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0003-2152-8106
Rhys H ThomasTranslational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, UK.ORCID 0000-0003-2062-8623
Peter N RobinsonThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.ORCID 0000-0002-0736-9199
Ingo HelbigDivision of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0001-8486-0558

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Project 3 - Development and investigation of murine models of channelopathy-associated epilepsyU54NS108874 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KISKINIS, EVANGELOS · 2018 to 2022
$12.1M
The Intellectual and Developmental Disabilities Research Center (IDDRC) at CHOP/PennP50HD105354 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI ERIC D MARSH, ROBERT Thomas SCHULTZ · 2021 to 2026
$9.2M
The Human Phenotype Ontology: Accelerating Computational Integration of Clinical Data for GenomicsU24HG011449 · NHGRI · JACKSON LABORATORY · PI Peter Nicholas Robinson · 2021 to 2026
$6.7M
The Intellectual and Developmental Disabilities Research Center at CHOP/PennU54HD086984 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI PUTT, MARY E. · 2016 to 2020
$6.3M
Joint analysis of genomic and electronic medical record data to assess outcomes and drug response in pediatric epilepsiesK02NS112600 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI HELBIG, INGO · 2020 to 2024
$963k
NCATS NIH HHS UL1 TR001878NHGRI NIH HHS U24 HG011449NICHD NIH HHS P50 HD105354NICHD NIH HHS U54 HD086984NINDS NIH HHS K02 NS112600NINDS NIH HHS U54 NS108874Wellcome TrustWellcome Trust 203914/Z/16/Z
6 · The paper itself

Abstract

objectiveThe clinical features of epilepsy determine how it is defined, which in turn guides management. Therefore, consideration of the fundamental clinical entities that comprise an epilepsy is essential in the study of causes, trajectories, and treatment responses. The Human Phenotype Ontology (HPO) is used widely in clinical and research genetics for concise communication and modeling of clinical features, allowing extracted data to be harmonized using logical inference. We sought to redesign the HPO seizure subontology to improve its consistency with current epileptological concepts, supporting the use of large clinical data sets in high-throughput clinical and research genomics.

methodsWe created a new HPO seizure subontology based on the 2017 International League Against Epilepsy (ILAE) Operational Classification of Seizure Types, and integrated concepts of status epilepticus, febrile, reflex, and neonatal seizures at different levels of detail. We compared the HPO seizure subontology prior to, and following, our revision, according to the information that could be inferred about the seizures of 791 individuals from three independent cohorts: 2 previously published and 150 newly recruited individuals. Each cohort's data were provided in a different format and harmonized using the two versions of the HPO.

resultsThe new seizure subontology increased the number of descriptive concepts for seizures 5-fold. The number of seizure descriptors that could be annotated to the cohort increased by 40% and the total amount of information about individuals' seizures increased by 38%. The most important qualitative difference was the relationship of focal to bilateral tonic-clonic seizure to generalized-onset and focal-onset seizures. SIGNIFICANCE: We have generated a detailed contemporary conceptual map for harmonization of clinical seizure data, implemented in the official 2020-12-07 HPO release and freely available at hpo.jax.org. This will help to overcome the phenotypic bottleneck in genomics, facilitate reuse of valuable data, and ultimately improve diagnostics and precision treatment of the epilepsies.

Indexed as

Models, NeurologicalBig DataCohort StudiesData Interpretation, StatisticalEpilepsies, PartialEpilepsyEpilepsy, GeneralizedEpilepsy, Tonic-ClonicGenomicsHigh-Throughput Nucleotide SequencingHumansPhenotypeSeizuresbig dataclassificationepilepsygenetics

Identifiers

PMID33949685
PMCPMC8272408

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.