Evidence map›Paper›PMID 24372310›Full record

ArticleEpilepsia2014

High-resolution molecular genomic autopsy reveals complex sudden unexpected death in epilepsy risk profile.

Tara L Klassen, Valerie C Bomben, Ankita Patel, Janice Drabek, Tim T Chen, Wenli Gu, Feng Zhang, Kevin Chapman, James R Lupski, Jeffrey L Noebels and 1 more

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Epilepsia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Sudden Unexpected Death in Epilepsy: Central Respiratory Chemoreception.International journal of molecular sciences · 2025
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Dravet VariantFrontiers in cellular neuroscience · 2021
    Article
  15. Article
  16. Review
  17. Clinical Spectrum ofInternational journal of molecular sciences · 2020
    Review
  18. Article
  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

11 authors at 3 institutions in 3 countries.

Tara L KlassenFaculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada.
Valerie C Bomben
Ankita Patel
Janice Drabek
Tim T Chen
Wenli Gu
Feng Zhang
Kevin Chapman
James R Lupski
Jeffrey L Noebels
A M Goldman
Baylor College of Medicine · USUniversity of British Columbia · CAFudan University · CN

Funding

Parallel Sequence Profiling of Ion Channels in EpilepsyR01NS049130 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI NOEBELS, JEFFREY · 2004 to 2008
$5.1M
Mutidisciplinary Training;Brain Disorders &DevelopmentT32NS043124 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI SWANN, JOHN WILLIAM · 2002 to 2021
$4.6M
Copy Number Variants of Neuro-Cardiac Ion Channel Genes and the Risk of SUDEPR01NS067013 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI GOLDMAN, ALICA M · 2011 to 2014
$1.4M
PREDICTIVE GENES, MECHANISMS, AND CLINICAL BIOMARKERS OF SUDEPP20NS076916 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI NOEBELS, JEFFREY · 2011 to 2013
$1.4M
NINDS NIH HHS NS049130NINDS NIH HHS NS067013NINDS NIH HHS NS067013SNINDS NIH HHS NS076916NINDS NIH HHS P20 NS076916NINDS NIH HHS R01 NS049130NINDS NIH HHS R01 NS067013NINDS NIH HHS T32 NS043124NINDS NIH HHS T32NS043124-09
6 · The paper itself

Abstract

Advanced variant detection in genes underlying risk of sudden unexpected death in epilepsy (SUDEP) can uncover extensive epistatic complexity and improve diagnostic accuracy of epilepsy-related mortality. However, the sensitivity and clinical utility of diagnostic panels based solely on established cardiac arrhythmia genes in the molecular autopsy of SUDEP is unknown. We applied the established clinical diagnostic panels, followed by sequencing and a high density copy number variant (CNV) detection array of an additional 253 related ion channel subunit genes to analyze the overall genomic variation in a SUDEP of the 3-year-old proband with severe myoclonic epilepsy of infancy (SMEI). We uncovered complex combinations of single nucleotide polymorphisms and CNVs in genes expressed in both neurocardiac and respiratory control pathways, including SCN1A, KCNA1, RYR3, and HTR2C. Our findings demonstrate the importance of comprehensive high-resolution variant analysis in the assessment of personally relevant SUDEP risk. In this case, the combination of de novo single nucleotide polymorphisms (SNPs) and CNVs in the SCN1A and KCNA1 genes, respectively, is suspected to be the principal risk factor for both epilepsy and premature death. However, consideration of the overall biologically relevant variant complexity with its extensive functional epistatic interactions reveals potential personal risk more accurately.

Indexed as

Amino Acid SequenceAutopsyChild, PreschoolDeath, SuddenDNA Copy Number VariationsEpilepsies, MyoclonicGenomicsHumansKv1.1 Potassium ChannelMaleMolecular Sequence DataNAV1.1 Voltage-Gated Sodium ChannelRisk FactorsKCNA1 protein, humanKv1.1 Potassium ChannelNAV1.1 Voltage-Gated Sodium ChannelSCN1A protein, humanDravet syndromeEpileptic encephalopathyGeneMolecular autopsyRiskSevere myoclonic epilepsy of infancySudden unexpected death in epilepsy

Identifiers

PMID24372310
PMCPMC4195652
OpenAlexW2043347984

What OpenQuestion holds

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LicenceTDM
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.