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ABSTRACT: Purpose
To define the genetic architecture of foveal morphology and explore its relevance to foveal hypoplasia (FH), a hallmark of developmental macular disorders.Methods
We applied deep-learning algorithms to quantify foveal pit depth from central optical coherence tomography (OCT) B-scans in 61,269 UK Biobank participants. A genome-wide association study (GWAS) was conducted using REGENIE, adjusting for age, sex, height, and ancestry. Rare coding variants (frequency <1%) were analyzed in an exome-wide rare-variant association study (RVAS). Candidate genes were prioritized using integrative mapping; pathway, cross-ancestry, and genetic-correlation analyses were exploratory.Results
GWAS identified 126 sentinel variants, including 47 novel associations. Integrative m
SUBMITTER: Hunt C
PROVIDER: S-EPMC12425146 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature