Evidence map›Paper›PMID 22736939›Full record

ArticleMolecular vision2012

Genotyping microarray: mutation screening in Spanish families with autosomal dominant retinitis pigmentosa.

Fiona Blanco-Kelly, María García-Hoyos, Marta Cortón, Almudena Avila-Fernández, Rosa Riveiro-Álvarez, Ascensión Giménez, Inma Hernan, Miguel Carballo, Carmen Ayuso

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In one paragraph

Article in Molecular vision, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-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

19 citing papers in PubMed, 33 citations in OpenAlex.

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  5. Journal of ophthalmology · 2017
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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

9 authors at 1 institution in 1 country.

Fiona Blanco-KellyServicio de Genética, IIS Fundación Jiménez Díaz, Madrid, Spain. fblancok@fjd.es
María García-Hoyos
Marta Cortón
Almudena Avila-Fernández
Rosa Riveiro-Álvarez
Ascensión Giménez
Inma Hernan
Miguel Carballo
Carmen Ayuso
Hospital Universitario Fundación Jiménez Díaz · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePresently, 22 genes have been described in association with autosomal dominant retinitis pigmentosa (adRP); however, they explain only 50% of all cases, making genetic diagnosis of this disease difficult and costly. The aim of this study was to evaluate a specific genotyping microarray for its application to the molecular diagnosis of adRP in Spanish patients.

methodsWe analyzed 139 unrelated Spanish families with adRP. Samples were studied by using a genotyping microarray (adRP). All mutations found were further confirmed with automatic sequencing. Rhodopsin (RHO) sequencing was performed in all negative samples for the genotyping microarray.

resultsThe adRP genotyping microarray detected the mutation associated with the disease in 20 of the 139 families with adRP. As in other populations, RHO was found to be the most frequently mutated gene in these families (7.9% of the microarray genotyped families). The rate of false positives (microarray results not confirmed with sequencing) and false negatives (mutations in RHO detected with sequencing but not with the genotyping microarray) were established, and high levels of analytical sensitivity (95%) and specificity (100%) were found. Diagnostic accuracy was 15.1%.

conclusionsThe adRP genotyping microarray is a quick, cost-efficient first step in the molecular diagnosis of Spanish patients with adRP.

Indexed as

MutationArtifactsEye ProteinsGenes, DominantGenetic TestingGenotypeHumansOligonucleotide Array Sequence AnalysisPedigreeRetinitis PigmentosaRhodopsinSensitivity and SpecificitySpainWhite PeopleEye ProteinsRhodopsin

Identifiers

PMID22736939
PMCPMC3380913
OpenAlexW2113880410

What OpenQuestion holds

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LicenceCC BY
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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.