rs11197820 - HSPA12A
Magnitude 2.2 · 2 studies on file
Reported associations
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Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology - Unknown journal (n.d.) · Unknown authors · PubMed 34077760
ABSTRACT: Summary Genome-wide association studies (GWASs) require accurate cohort phenotyping, but expert labeling can be costly, time intensive, and variable. Here, we develop a machine learning (ML) model to predict glaucomatous optic nerve head features from color fundus photographs. We used the model to predict vertical cup-to-disc ratio (VCDR), a diagnostic parameter and cardinal endophenotype for glaucoma, in 65,680 Europeans in the UK Biobank (UKB). A GWAS of ML-based VCDR identified 299 independent genome-wide significant (GWS; p ≤ 5 × 10−8) hits in 156 loci. The ML-based GWAS replicated 62 of 65 GWS loci from a recent VCDR GWAS in the UKB for which two ophthalmologists manually labeled images for 67,040 Europeans. The ML-based GWAS also identified 93 novel loci, significantl
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Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression - Unknown journal (n.d.) · Unknown authors · PubMed 31959993
ABSTRACT: Glaucoma, a disease characterized by progressive optic nerve degeneration, can be prevented through timely diagnosis and treatment. We characterized optic nerve photographs of 67,040 UK Biobank participants and used a multitrait genetic model to identify risk loci for glaucoma. A novel glaucoma polygenic risk score (PRS) enables effective risk stratification in unselected glaucoma cases, and modifies penetrance of MYOC p.Gln368Ter, the most common glaucoma-associated myocilin variant. In the unselected glaucoma population, individuals in the top PRS decile reach an absolute risk for glaucoma 10 years earlier than the bottom decile, and are at 15-fold increased risk of developing advanced glaucoma (top 10% vs. remaining 90% OR = 4.20). The PRS predicts glaucoma progression in pros
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