Japanese Pharmacogenomics Data: 632 Whole Genome Sequences for Drug Response Analysis

632 Japanese individuals' whole genome sequencing data analyzed for pharmacogenomics insights. The dataset compares allele frequencies for three drug classes—SSRIs, opioid analgesics, and statins—against broader East Asian population data. Charles W. Crawford published this secondary analysis pipeline on figshare in March 2026.

Use Cases

• Compare allele frequencies for CYP2D6, CYP2B6, and CYP2C19 genes based on the Japanese-specific data.
• Analyze divergence in 'Use as directed' designation for opioid analgesics between Japanese and East Asian populations.
• Refine population-level PGx inference for statins based on SLCO1B1 gene data.
• Develop secondary pipelines for uncovering PGx patterns masked by broad geographic groupings.

Strengths

• Focuses on a specific population of 632 Japanese individuals.
• Analyzes three concrete drug classes (SSRIs, opioid analgesics, statins) and their relevant genes.
• Demonstrates a divergence in drug response designation, with specific percentages provided (e.g., opioid 'Use as directed' increased from 53.2% to 71.0%).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document (1019.8 KB), which may not be a standard data format for analysis.

Provenance

Source

figshare

Collection Method

Secondary analysis pipeline applied to a Whole Genome Sequencing PGx dataset.

Freshness

Last updated 2026-03-19 06:50:14; freshness should be verified.

Geography

Japan