Evidence map›Paper›PMID 27906200›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2017

Evaluating the quality of Marfan genotype-phenotype correlations in existing FBN1 databases.

Kristian A Groth, Yskert Von Kodolitsch, Kerstin Kutsche, Mette Gaustadnes, Kasper Thorsen, Niels H Andersen, Claus H Gravholt

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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

31 citing papers in PubMed, 42 citations in OpenAlex.

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  10. Genotype Impacts Axial Length Growth in Pseudophakic Eyes of Marfan Syndrome.Investigative ophthalmology & visual science · 2023
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  12. The British journal of ophthalmology · 2022
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  13. Genes · 2022
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  16. Novel and recurrentFrontiers in medicine · 2022
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  19. Novel p.G1344E mutation inThe British journal of ophthalmology · 2021
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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 2 institutions in 2 countries.

Kristian A GrothDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-3452-8298
Yskert Von KodolitschGerman Aorta Centre of Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Kerstin KutscheInstitute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Mette GaustadnesDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Kasper ThorsenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-0195-4685
Niels H AndersenDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Claus H GravholtDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University Hospital · DKUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic FBN1 testing is pivotal for confirming the clinical diagnosis of Marfan syndrome. In an effort to evaluate variant causality, FBN1 databases are often used. We evaluated the current databases regarding FBN1 variants and validated associated phenotype records with a new Marfan syndrome geno-phenotyping tool called the Marfan score. METHODS AND

resultsWe evaluated four databases (UMD-FBN1, ClinVar, the Human Gene Mutation Database (HGMD), and Uniprot) containing 2,250 FBN1 variants supported by 4,904 records presented in 307 references. The Marfan score calculated for phenotype data from the records quantified variant associations with Marfan syndrome phenotype. We calculated a Marfan score for 1,283 variants, of which we confirmed the database diagnosis of Marfan syndrome in 77.1%. This represented only 35.8% of the total registered variants; 18.5-33.3% (UMD-FBN1 versus HGMD) of variants associated with Marfan syndrome in the databases could not be confirmed by the recorded phenotype.

conclusionFBN1 databases can be imprecise and incomplete. Data should be used with caution when evaluating FBN1 variants. At present, the UMD-FBN1 database seems to be the biggest and best curated; therefore, it is the most comprehensive database. However, the need for better genotype-phenotype curated databases is evident, and we hereby present such a database.Genet Med advance online publication 01 December 2016.

Indexed as

AdipokinesDatabases, FactualDatabases, Nucleic AcidFemaleFibrillin-1FibrillinsGenetic Association StudiesGenetic TestingGenetic VariationGenotypeHumansMaleMarfan SyndromeMicrofilament ProteinsMutationPhenotypeAdipokinesFBN1 protein, humanFibrillin-1FibrillinsMicrofilament Proteins

Identifiers

PMID27906200
OpenAlexW2558900050

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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.