Evidence map›Paper›PMID 27168365›Full record

ArticleInvestigative ophthalmology & visual science2016

Disease-Phenotype Deconvolution in Genetic Eye Diseases Using Online Mendelian Inheritance in Man.

Priyanka Pandey, Moulinath Acharya

Erratum issuedOpen access · goldAbstract read
PubMed Publisher
In one paragraph

Article in Investigative ophthalmology & visual science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 97% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Priyanka Pandey
Moulinath Acharya
National Institute of Biomedical Genomics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCapturing organ-specific phenomes in genetic diseases is an uphill task for the eye as it comprises tissue types derived from all three germinal layers. We attempted to deconstruct genetic eye diseases (GEDs) into primary phenotypic features, to understand the complex genome-phenome relationship in GEDs.

methodsUsing phenotype, molecular basis, and gene description features in OMIM as a primary resource, we analyzed gene-phenotype information. All ocular and systemic phenotypes were categorized and ranked based on occurrence. Clustering was performed on shared ocular features to identify genetic interactions and the largest cluster of each phenotype was used for functional analyses.

resultsWe collected 527 GEDs associated with 440 unique protein-coding genes. We indexed 787 ocular and 3094 systemic features, for an average of 2.17 ocular and 8.14 systemic features, respectively, per disease unit. The most common ocular features included nystagmus, hypertelorism, and myopia, while neurological and skeletal are the most common systemic groups associated with GEDs. Functional analyses revealed pathways relevant to GEDs (e.g., extracellular matrix organization in ONH3 [glaucoma]) and protein metabolism in EOM35 (nystagmus) phenotype clusters.

conclusionsOur work imparts a structure in dissecting GEDs into unique phenotypes to study the relationship between genes and diseases involving the eye.

Indexed as

Models, GeneticCluster AnalysisDatabases, GeneticEye DiseasesFemaleGenotypeHumansMalePhenotype

Identifiers

PMID27168365
OpenAlexW2371419708

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.