Evidence map›Paper›PMID 37995443›Full record

ArticleSeizure2023

Exome analysis focusing on epilepsy-related genes in children and adults with sudden unexplained death.

Sarah E Buerki, Cordula Haas, Jacqueline Neubauer

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Seizure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Sarah E BuerkiDepartment of Neuropediatrics, University Children's Hospital Zurich, Switzerland.
Cordula HaasZurich Institute of Forensic Medicine, University of Zurich, Switzerland. Electronic address: cordula.haas@irm.uzh.ch.
Jacqueline NeubauerZurich Institute of Forensic Medicine, University of Zurich, Switzerland.
University of Zurich · CHUniversity Children's Hospital Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGenetic studies in sudden infant death syndrome (SIDS) and sudden unexplained death (SUD) cohorts have indicated that cardiovascular diseases might have contributed to sudden unexpected death in 20-35 % of autopsy-negative cases. Sudden unexpected death can also occur in people with epilepsy, termed as sudden unexpected death in epilepsy (SUDEP). The pathophysiological mechanisms of SUDEP are not well understood, but are likely multifactorial, including seizure-induced hypoventilation and arrhythmias as well as genetic risk factors. The sudden death of some of the SIDS/SUD victims might also be explained by genetic epilepsy, therefore this study aimed to expand the post-mortem genetic analysis of SIDS/SUD cases to epilepsy-related genes.

methodsExisting whole-exome sequencing data from our 155 SIDS and 45 SUD cases were analyzed, with a focus on 365 epilepsy-related genes. Nine of the SUD victims had a known medical history of epilepsy, seizures or other underlying neurological conditions and were therefore classified as SUDEP cases.

resultsIn our SIDS and SUD cohorts, we found epilepsy-related pathogenic/likely pathogenic variants in the genes OPA1, RAI1, SCN3A, SCN5A and TSC2.

conclusionPost-mortem analysis of epilepsy-related genes identified potentially disease-causing variants that might have contributed to the sudden death events in our SIDS/SUD cases. However, the interpretation of identified variants remains challenging and often changes over time as more data is gathered. Overall, this study contributes insight in potentially pathophysiological epilepsy-related mechanisms in SIDS, SUD and SUDEP victims and underlines the importance of sensible counselling on the risk and preventive measures in genetic epilepsy.

Indexed as

EpilepsySudden Infant DeathSudden Unexpected Death in EpilepsyAdultArrhythmias, CardiacChildExomeHumansInfantSeizuresEpilepsyGeneticsSudden infant death syndrome (SIDS)Sudden unexpected death in epilepsy (SUDEP)Sudden unexplained death (SUD)

Identifiers

PMID37995443
OpenAlexW4388153278

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.