Beyond VIPs: Shadow Pharmacogenes in the Human Drug Response Network

A pharmacogenomic dataset from figshare, created by Nicolly Clemente de Melo and last updated in March 2026. It contains network analysis results identifying non-VIP 'shadow' genes that mediate interactions between canonical Very Important Pharmacogenes (VIPs). The 2.9 MB XLSX file includes findings on gene connectivity, functional enrichment, and drug associations.

Use Cases

• Identify key bridging genes in pharmacogenomic networks based on network topology analyses like shortest path and degree centrality.
• Explore associations between shadow VIPs and approved drugs, particularly hormone-related and antineoplastic agents, as mentioned in the description.
• Analyze functional enrichment of metabolic, endocrine, and signaling pathways within the VIP interactome.
• Compare mutation intolerance between VIPs and shadow VIPs using RVIS values referenced in the study.

Strengths

• File size is 2.9 MB, indicating a focused and manageable dataset for analysis.
• Dataset is licensed under CC-BY-NC-4.0, specifying clear terms for non-commercial reuse.
• Analysis is based on established resources like PharmGKB and includes multiple analytical methods (network topology, functional enrichment, TF association).

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect methodological bias inherent to the specific network construction and analysis approach.

Provenance

Source

figshare

Collection Method

Constructed from a VIP-centered subnetwork with applied network topology and functional enrichment analyses.

Freshness

Last updated 2026-03-19 15:41:26; freshness should be verified.