rs113884885 - NOX4

Magnitude 4.5 · 1 study on file

Reported associations

• Multi-omic spatial effects on high-resolution AI-derived retinal thickness. - Nature communications (2025) · Jackson VE, Wu Y, Bonelli R, Owen JP, Scott LW, Farashi S, Kihara Y, Gantner ML, Egan C, Williams KM, Ansell BRE, Tufail A, Lee AY, Bahlo M · PubMed 39904976

  Retinal thickness is a marker of retinal health and more broadly, is seen as a promising biomarker for many systemic diseases. Retinal thickness measurements are procured from optical coherence tomography (OCT) as part of routine clinical eyecare. We processed the UK Biobank OCT images using a convolutional neural network to produce fine-scale retinal thickness measurements across > 29,000 points in the macula, the part of the retina responsible for human central vision. The macula is disproportionately affected by high disease burden retinal disorders such as age-related macular degeneration and diabetic retinopathy, which both involve metabolic dysregulation. Analysis of common genomic variants, metabolomic, blood and immune biomarkers, disease PheCodes and genetic scores across a fi

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