Characteristics of GWAS Papers for Meta-Analysis

5.5 KB Excel file by Sare Golpasand lists characteristics of Genome-Wide Association Study papers included in databases for performing a meta-analysis. The dataset was last updated on April 10, 2026.

Use Cases

• Systematically review GWAS literature characteristics based on the described paper attributes
• Select papers for inclusion in a meta-analysis based on the listed database criteria
• Analyze trends in GWAS study design or reporting based on the collected characteristics

Strengths

• File size is 5.5 KB, indicating a concise and focused dataset
• Released under a permissive CC-BY-4.0 license for reuse
• Last updated date of 2026-04-10 is provided

Limitations

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

Provenance

Source

Sare Golpasand via figshare

Collection Method

Likely extracted from literature databases for meta-analysis purposes.

Time Range

null

Freshness

Last updated 2026-04-10 17:38:54; freshness should be verified

Geography

null