Evidence map›Paper›PMID 26525453›Full record

ReviewCold Spring Harbor perspectives in medicine2015

Single-Gene Determinants of Epilepsy Comorbidity.

Jeffrey L Noebels

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Classifying epilepsy pragmatically: Past, present, and future.Journal of the neurological sciences · 2021
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
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

1 author.

Jeffrey L NoebelsDevelopmental Neurogenetics Laboratory, Departments of Neurology, Neuroscience, and Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030.

Funding

PLASTICITY IN DEVELOPING EPILEPTIC BRAINR01NS029709 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI NOEBELS, JEFFREY · 1991 to 2025
$9.1M
SUDEP Research Alliance: Cardiac Gene and Circuit Mechanisms; Application 7 of 7U01NS090340 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI NOEBELS, JEFFREY · 2014 to 2018
$3.3M
NINDS NIH HHS NS 29709NINDS NIH HHS R01 NS029709NINDS NIH HHS U01 NS090340
6 · The paper itself

Abstract

Common somatic conditions are bound to occur by chance in individuals with neurological disorders as prevalent as epilepsy, but when biological links underlying the comorbidity can be uncovered, the relationship may provide clues into the origin and mechanisms of both. The expanding list of monogenic epilepsies and their associated clinical features offer a remarkable opportunity to mine the epilepsy genome for coordinate neurodevelopmental phenotypes and examine their pathogenic mechanisms. Defined single-gene-linked epilepsy syndromes identified to date include all of the most frequently cited comorbidities, such as cognitive disorders, autism, migraine, mood disorders, late-onset dementia, and even premature lethality. Gene-linked comorbidities may be aggravated by, or independent of, seizure history. Mutations in these genes establish clear biological links between abnormal neuronal synchronization and a variety of neurobehavioral disorders, and critically substantiate the definition of epilepsy as a complex spectrum disorder. Mapping the neural circuitry of epilepsy comorbidities and understanding their single-gene risk should substantially clarify this challenging aspect of clinical epilepsy management.

Indexed as

Alzheimer DiseaseAutistic DisorderBrain DiseasesCognition DisordersComorbidityDepressionEpilepsyGenesGenetic Predisposition to DiseaseHumans

Identifiers

PMID26525453
PMCPMC4632859

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.