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Purpose: Observational studies have suggested that individuals with pre-existing sleep apnea (SA) have up to double the risk of developing glaucoma than individuals without SA. Understanding risk factors for glaucoma is important to assist with well-structured screening, early intervention, and efficient allocation of specialist consultation. The objective of this study is therefore to use genetic data to determine whether SA is a causal risk factor for glaucoma.
Methods: Two-sample Mendelian randomization (MR) analyses were performed to assess the association between genetically predicted SA and glaucoma susceptibility using genome-wide association study (GWAS) of 25,062 SA cases, 313,372 controls derived from 23andMe and summary data from a glaucoma GWAS meta-analysis (20,582 cases, 119,318 controls), including individuals of European descent, mainly from the UK Biobank.
Results: Inverse variance weighted regression of genetic susceptibility for SA on risk of glaucoma revealed no strong evidence for an association between SA and glaucoma (OR = 0.95, 95% confidence intervals = 0.84-1.07), results were consistent across all MR predictors.
Conclusions: We found little genetic evidence supporting a causal association between SA and glaucoma. Our results refute the possibility of a large effect (glaucoma OR > 1.5 per doubling of odds on SA) between SA and glaucoma.
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http://dx.doi.org/10.1167/iovs.63.1.25 | DOI Listing |
Proc Natl Acad Sci U S A
September 2025
Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202.
Retinal ganglion cells (RGCs) are highly compartmentalized neurons whose long axons serve as the sole connection between the eye and the brain. In both injury and disease, RGC degeneration occurs in a similarly compartmentalized manner, with distinct molecular and cellular responses in the axonal and somatodendritic regions. The goal of this study was to establish a microfluidic-based platform to investigate RGC compartmentalization in both health and disease states.
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June 2025
Ophthalmology Department 5, National Hospital 15-20, Paris, France.
J Glaucoma
September 2025
Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, CA, United States.
Precis: Artificial intelligence applied to OCTA images demonstrated high accuracy in estimating 24-2 visual field maps by leveraging information from pararpapillary area.
Purpose: To develop deep learning (DL) models estimating 24-2 visual field (VF) maps from optical coherence tomography angiography (OCTA) optic nerve head (ONH) en face images.
Methods: A total of 3148 VF OCTA pairs were collected from 994 participants (1684 eyes).
J Glaucoma
September 2025
Harvard Medical School, Boston, MA.
Purpose: Large language models (LLMs) can assist patients who seek medical knowledge online to guide their own glaucoma care. Understanding the differences in LLM performance on glaucoma-related questions can inform patients about the best resources to obtain relevant information.
Methods: This cross-sectional study evaluated the accuracy, comprehensiveness, quality, and readability of LLM-generated responses to glaucoma inquiries.
J Glaucoma
September 2025
Department of Ophthalmology, Kurashiki Medical Center, Kurashiki, Okayama, Japan.
Prcis: Protocol 30-2 of Melbourne Rapid Fields, online computer perimetry, provides a portable, reliable, and patient-friendly alternative to Humphrey Field Analyzer 30-2 SITA fast protocol for Japanese all severity stages of glaucoma patients.
Purpose: Melbourne Rapid Fields (MRF) online computer perimetry is a web-browser-based software that offers white-on-white threshold perimetry using any computer. This study evaluates the perimetric results of 30-2 protocol from MRF performed using a laptop computer in comparison to Humphrey Field Analyzer (HFA).