Bone Disease Gene Targets with Network and Pathway Analysis

A summary of target genes from database searches, including 15,949 predicted targets and 7,612 bone-related disease genes. The dataset identifies 707 overlapping genes used for constructing protein-protein interaction networks, KEGG pathway mapping, and functional enrichment analyses. It was authored by Mukunda Anuj Sharma and last updated on April 15, 2026.

Use Cases

• Identify candidate genes for bone disease research based on the 707 overlapping genes.
• Construct protein-protein interaction networks using the provided gene lists.
• Perform KEGG pathway enrichment analysis on the bone-related disease gene set.
• Validate predicted gene targets against known disease-associated genes.

Strengths

• Contains 15,949 predicted gene targets and 7,612 bone-related disease genes.
• Focuses on 707 overlapping genes specifically used for network construction.
• Includes results from KEGG pathway mapping and functional enrichment analyses.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect source bias inherent to the original database searches.

Provenance

Source

figshare

Collection Method

Database searches, as described in the summary.

Freshness

Last updated 2026-04-15 18:07:46; freshness should be verified.