ReviewDiagnostics (Basel, Switzerland)2026
Genetic Architecture of Myopia and Its Implications for Risk Stratification and Prognosis.
Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Myopia is a prevalent ocular condition with marked heterogeneity in onset and progression. Although diagnosis is straightforward, predicting disease trajectories and identifying risks of high or pathologic myopia remain main clinical challenges. Advances in human genetics have substantially reshaped current understanding of myopia, revealing a complex architecture involving common polygenic susceptibility, rare high-impact variants, and cumulative genetic risk burden. Large-scale genome-wide association studies demonstrate that myopia-related variants are enriched in regulatory and signaling pathways that modulate retinal neuronal and glial responses to visual and metabolic stimuli, while exome sequencing studies highlight overlap between early-onset high myopia and inherited retinal or syndromic disorders. Polygenic risk scores further translate common-variant burden into quantitative measures of genetic susceptibility, enabling population-level risk stratification and early risk assessment, albeit with performance differences across ancestries and clinical outcomes. Together, these findings delineate a multilayered genetic framework for myopia and support the role of genetic information as a complementary component of prognostic assessment. Integration of genetic data with longitudinal clinical and environmental information may further improve the prediction of myopia trajectories and facilitate more individualized management strategies.
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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 Socratic graph.