Evidence map›Paper›PMID 31235867›Full record

ArticleEuropean journal of human genetics : EJHG2019

Update of the EMQN/ACGS best practice guidelines for molecular analysis of Prader-Willi and Angelman syndromes.

Jasmin Beygo, Karin Buiting, Simon C Ramsden, Rachael Ellis, Jill Clayton-Smith, Deniz Kanber

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  16. Observational
  17. Imprinting disorders.Nature reviews. Disease primers · 2023
    Review
  18. An Atypical 15q11.2 Microdeletion Not InvolvingCase reports in genetics · 2023
    Article
  19. Prader-Willi and Angelman Syndromes: Mechanisms and Management.The application of clinical genetics · 2023
    Review
  20. 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

6 authors.

Jasmin Beygo *Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany. jasmin.beygo@uni-due.de.
Karin BuitingInstitut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany.
Simon C RamsdenManchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK.
Rachael EllisDepartment of Medical Genetics, Yorkhill NHS Trust, Yorkhill Hospital, Glasgow, G3 8SJ, UK.
Jill Clayton-SmithManchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK.
Deniz Kanber *Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany. deniz.kanber@uni-due.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article is an update of the best practice guidelines for the molecular analysis of Prader-Willi and Angelman syndromes published in 2010 in BMC Medical Genetics [1]. The update takes into account developments in terms of techniques, differential diagnoses and (especially) reporting standards. It highlights the advantages and disadvantages of each method and moreover, is meant to facilitate the interpretation of the obtained results - leading to improved standardised reports.

Indexed as

Molecular Diagnostic TechniquesPractice Guidelines as TopicAngelman SyndromeDiagnosis, DifferentialDisease ManagementDNA MethylationEpigenesis, GeneticFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenetic TestingGenetic VariationHumansPrader-Willi SyndromePregnancyPrenatal Diagnosis

Identifiers

PMID31235867
PMCPMC6777528

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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.