ArticleInvestigative ophthalmology & visual science2016
Disease-Phenotype Deconvolution in Genetic Eye Diseases Using Online Mendelian Inheritance in Man.
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.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
Corrections and comments
- Erratum issuedErratum.2016
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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