Potential ARED Susceptibility Genes Identified via Genomic-SEM

A genetic study identifies candidate genes for Age-related Eye Disease (ARED). Luqi Gao used Genomic Structural Equation Modeling (Genomic-SEM) and post-processing of Genome-Wide Association Studies (GWAS) to analyze tissue-, cell layer-, and genomic element-associated gene signals. The research, last updated in May 2026, reports 11 genome-wide significant loci and presents a genetic landscape for ARED.

Use Cases

• Prioritize candidate genes for functional validation based on statistically prioritized SNPs.
• Investigate tissue-specific gene expression signals in relation to age-related ocular vulnerabilities.
• Conduct functional annotation enrichment analyses for the identified genetic loci.
• Replicate GWAS findings for Age-related Eye Disease (ARED) in independent cohorts.

Strengths

• Identifies 11 genome-wide significant loci associated with ARED.
• Applies multiple transcriptome-wide association approaches for signal analysis.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Dataset scale is limited to 10.0 KB, suggesting a small, focused list of results.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Genomic Structural Equation Modeling (Genomic-SEM) and post-processing analysis of Genome-Wide Association Studies (GWAS).

Freshness

Last updated 2026-05-14 17:48:46; freshness should be verified.