Evidence map›Paper›PMID 28074886›Full record

ArticleEuropean journal of human genetics : EJHG2017

Post-mortem whole-exome analysis in a large sudden infant death syndrome cohort with a focus on cardiovascular and metabolic genetic diseases.

Jacqueline Neubauer, Maria Rita Lecca, Giancarlo Russo, Christine Bartsch, Argelia Medeiros-Domingo, Wolfgang Berger, Cordula Haas

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 122 citations in OpenAlex.

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  14. Primary Electrical Heart Disease-Principles of Pathophysiology and Genetics.International journal of molecular sciences · 2024
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3 more citing papers are in PubMed but not listed here.

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

7 authors at 4 institutions in 1 country.

Jacqueline NeubauerZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Maria Rita LeccaFunctional Genomics Center Zurich (FGCZ), University of Zurich/ETH Zurich, Zurich, Switzerland.
Giancarlo RussoFunctional Genomics Center Zurich (FGCZ), University of Zurich/ETH Zurich, Zurich, Switzerland.
Christine BartschUniversity of Zurich, Zurich, Switzerland.
Argelia Medeiros-DomingoDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, Switzerland.
Wolfgang BergerInstitute of Medical Molecular Genetics, University of Zurich, Schlieren, Switzerland.
Cordula HaasZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
University of Zurich · CHETH Zurich · CHInstitute for Biomedical Engineering · CHUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden infant death syndrome (SIDS) is described as the sudden and unexplained death of an apparently healthy infant younger than one year of age. Genetic studies indicate that up to 35% of SIDS cases might be explained by familial or genetic diseases such as cardiomyopathies, ion channelopathies or metabolic disorders that remained undetected during conventional forensic autopsy procedures. Post-mortem genetic testing by using massive parallel sequencing (MPS) approaches represents an efficient and rapid tool to further investigate unexplained death cases and might help to elucidate pathogenic genetic variants and mechanisms in cases without a conclusive cause of death. In this study, we performed whole-exome sequencing (WES) in 161 European SIDS infants with focus on 192 genes associated with cardiovascular and metabolic diseases. Potentially causative variants were detected in 20% of the SIDS cases. The majority of infants had variants with likely functional effects in genes associated with channelopathies (9%), followed by cardiomyopathies (7%) and metabolic diseases (1%). Although lethal arrhythmia represents the most plausible and likely cause of death, the majority of SIDS cases still remains elusive and might be explained by a multifactorial etiology, triggered by a combination of different genetic and environmental risk factors. As WES is not substantially more expensive than a targeted sequencing approach, it represents an unbiased screening of the exome, which could help to investigate different pathogenic mechanisms within the genetically heterogeneous SIDS cohort. Additionally, re-analysis of the datasets provides the basis to identify new candidate genes in sudden infant death.

Indexed as

ExomeCardiovascular DiseasesChannelopathiesFemaleHumansInfantInfant, NewbornMaleMetabolism, Inborn ErrorsSudden Infant Death

Identifiers

PMID28074886
PMCPMC5386419
OpenAlexW2571978946

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.