Gut Microbial Structural Variants Across Four Clinical Cohorts

Processed structural variant (SV) matrix files support the manuscript 'Gut microbial structural variations identify a causal Faecalibacterium prausnitzii locus linked to rheumatoid arthritis susceptibility'. The data spans four clinical cohorts totaling 491 samples. The dataset was authored by Yang Ou and last updated on June 4, 2026.

Use Cases

• Identify microbial structural variants associated with rheumatoid arthritis susceptibility based on the processed SV matrices.
• Validate causal loci in Faecalibacterium prausnitzii based on the multi-cohort data.
• Perform comparative analysis of gut microbiome structural variation across different clinical cohorts.
• Train machine learning models to predict disease status from microbial genomic variation profiles.

Strengths

• Data is derived from four clinical cohorts totaling 491 samples.
• Files are processed into structural variant (SV) matrices, suggesting a ready-to-use format.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Freshness

Last updated 2026-06-04 08:15:46.