Significant SNPs from a GWAS Meta-Analysis

A 17.5 KB Excel file containing detailed information on significant single nucleotide polymorphisms (SNPs) identified in a genome-wide association study (GWAS) meta-analysis. The dataset was authored by Sare Golpasand and last updated on April 10, 2026.

Use Cases

• Validate and replicate GWAS findings based on significant SNP identifiers.
• Prioritize genetic loci for downstream functional analysis based on meta-analysis results.
• Integrate SNP information into polygenic risk score models based on association data.

Strengths

• Data is licensed under CC-BY-4.0, permitting broad reuse and redistribution.
• File size is 17.5 KB, indicating a focused and likely manageable dataset.

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 derived from a genome-wide association study (GWAS) meta-analysis.

Time Range

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Freshness

Last updated 2026-04-10 17:38:56; freshness should be verified.

Geography

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