Genome-wide analysis of genetic pleiotropy and causal genes across three age-related ocular disorders.
Xueming YaoHongxi YangHan HanXuejing KouYuhan JiangMenghan LuoYao ZhouJianhua WangXutong FanXiaohong WangMulin Jun LiHua YanPublished in: Human genetics (2023)
Age-related macular degeneration (AMD), cataract, and glaucoma are leading causes of blindness worldwide. Previous genome-wide association studies (GWASs) have revealed a variety of susceptible loci associated with age-related ocular disorders, yet the genetic pleiotropy and causal genes across these diseases remain poorly understood. By leveraging large-scale genetic and observational data from ocular disease GWASs and UK Biobank (UKBB), we found significant pairwise genetic correlations and consistent epidemiological associations among these ocular disorders. Cross-disease meta-analysis uncovered seven pleiotropic loci, three of which were replicated in an additional cohort. Integration of variants in pleiotropic loci and multiple single-cell omics data identified that Müller cells and astrocytes were likely trait-related cell types underlying ocular comorbidity. In addition, we comprehensively integrated eye-specific gene expression quantitative loci (eQTLs), epigenomic profiling, and 3D genome data to prioritize causal pleiotropic genes. We found that pleiotropic genes were essential in nerve development and eye pigmentation, and targetable by aflibercept and pilocarpine for the treatment of AMD and glaucoma. These findings will not only facilitate the mechanistic research of ocular comorbidities but also benefit the therapeutic optimization of age-related ocular diseases.
Keyphrases
- genome wide
- dna methylation
- single cell
- optic nerve
- copy number
- age related macular degeneration
- genome wide association
- gene expression
- genome wide analysis
- systematic review
- rna seq
- electronic health record
- stem cells
- randomized controlled trial
- signaling pathway
- bioinformatics analysis
- induced apoptosis
- mass spectrometry
- high throughput
- oxidative stress
- cross sectional
- cell therapy
- genome wide identification
- transcription factor
- smoking cessation
- deep learning
- endoplasmic reticulum stress
- replacement therapy