Enriched Functional Pathways for Cattle Methane Emissions from Meta-GWAS

74 significant SNPs and 113 candidate genes were identified through a meta-analysis of genome-wide association studies for methane-related traits in cattle. The dataset includes results from functional enrichment analyses, revealing pathways related to metabolism, immune response, and host-microbiome interactions. This 5.5 KB Excel file, authored by Sare Golpasand and last updated in April 2026, provides a foundation for sustainable livestock breeding.

Use Cases

• Prioritizing candidate genes for methane mitigation based on the 74 significant SNPs and 113 candidate genes identified.
• Investigating biological mechanisms of methane production based on enriched pathways like KEGG metabolism and host-microbiome interactions.
• Estimating heritability for methane traits using the reported genomic (h²=0.296) and pedigree-based (h²=0.299) parameters.
• Identifying network hub genes for further study based on the Cytoscape analysis results mentioning TRPV3, TRPV1, ANK3, PKD2, and SHPK.

Strengths

• Includes 74 significant SNPs and 113 candidate genes identified from a meta-GWAS.
• Provides specific heritability estimates (h²=0.296 and h²=0.299) for methane production.
• Results are derived from an integrated meta-analytical framework combining multiple published studies.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope and likely summary-level results.

Provenance

Source

figshare, author Sare Golpasand.

Collection Method

Meta-analysis of genome-wide association studies (meta-GWAS) using METAL software, combined with functional enrichment analyses.

Time Range

Temporal coverage of the underlying studies is not specified.

Freshness

Last updated 2026-04-10 17:38:58; freshness should be verified.

Geography

Spatial coverage is not specified.