Cataract Druggable Target Identification via Mendelian Randomization and Multi-Omics

Table 1_Identification and validation of druggable targets for cataract using mendelian randomization: functional insights from multi-omics and an oxidative stress model.xlsx is a 6.1 MB Excel dataset by Min Lin, last updated April 16, 2026. It contains results from a study integrating multi-omics data and Mendelian randomization to identify causal genes for cataract. The data includes findings from eQTL/pQTL analyses, PheWAS, and in vitro oxidative stress experiments on lens epithelial cells.

Use Cases

• Prioritizing drug targets for cataract based on Mendelian randomization and multi-omics integration results.
• Analyzing protein-protein interaction networks for identified hub genes like DKK3 and GSTM1.
• Validating genetic findings with in vitro experimental data on cell viability, proliferation, and apoptosis.
• Performing molecular docking simulations for drug prediction using the identified protein targets.

Strengths

• Integrates genetic analyses (eQTL/pQTL, MR) with functional cell-based experiments.
• Focuses on 2,532 drug-associated genes, with specific results for 35 eQTL and 31 pQTL genes.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is derived from a specific study; generalizability to other populations may be limited.

Provenance

Source

Min Lin via figshare.

Collection Method

Generated from a study integrating multi-omics data, Mendelian randomization, and in vitro oxidative stress experiments on SRA01/04 lens epithelial cells.

Time Range

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Freshness

Last updated 2026-04-16 04:19:17; freshness should be verified.

Geography

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