Candidate Genes with Physiological Functions in QTL from GWAS and PCA-GWAS

Table S7 lists candidate genes with physiological functions identified within quantitative trait loci (QTL) from a genome-wide association study (GWAS) and a PCA-GWAS analysis. The dataset, authored by Junpeng Yao, is a 16.1 KB Excel file published under a CC-BY-4.0 license and last updated on June 2, 2026. Its specific row count is unknown, indicating a focused but small-scale supplementary table.

Use Cases

• Prioritizing candidate genes for functional validation based on their physiological roles mentioned in the description.
• Comparing genetic associations between standard GWAS and PCA-GWAS methods as referenced in the title.
• Annotating QTL regions with biologically relevant genes to inform breeding programs.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
• File size is 16.1 KB, suggesting a concise and focused table.
• Last update timestamp is precise: 2026-06-02 09:42:14.

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

figshare, authored by Junpeng Yao.

Collection Method

Likely derived from GWAS and PCA-GWAS analyses on AgResearch data, as stated in the title.

Freshness

Last updated 2026-06-02 09:42:14; freshness should be verified.