Significant SNPs for Neuropsychiatric and Neurodegenerative Disorders

The list of significant SNPs for each disease is provided in an XLSX file of 118.5 KB. It was authored by Jiafang Li and last updated on 2026-05-29. The data was generated as part of a study proposing the Multi-omics Graph Transformer Network (MOGT) for disease gene prediction.

Use Cases

• Prioritize high-risk genes for drug discovery based on predicted disease-associated genes.
• Validate genetic loci identified by GWAS for neuropsychiatric and neurodegenerative disorders.
• Benchmark new graph neural network models for disease gene prediction against the MOGT framework.
• Investigate potential drug candidates by integrating SNP data with drug perturbation databases like CMAP.

Strengths

• Data is directly linked to a published methodology (MOGT) that outperformed current approaches for five specific diseases.
• The dataset has a clear, open license (CC-BY-4.0) facilitating reuse.
• Experimental validation was performed for one predicted drug candidate (UK-356618) in a primary neuron model.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely derived from Genome-wide association studies (GWAS) and subsequent analysis using the Multi-omics Graph Transformer Network (MOGT).

Freshness

Last updated 2026-05-29 18:00:15; freshness should be verified.