TGF-β Pathway Polygenic Risk Score Interactions with Meat Intake and Tumor Location

Supplementary Table S5 presents results from multinomial logistic regression models. The models evaluate interactions between a pathway-based polygenic risk score and red or processed meat intake, stratified by topological tumor location. The dataset was authored by Joel Sanchez Mendez and published on figshare under a CC-BY-4.0 license on June 2, 2026.

Use Cases

• Investigating how genetic risk modifies the association between red meat intake and colorectal cancer based on the described interaction models.
• Analyzing differential risk effects by tumor location using the topological stratification mentioned in the description.
• Validating novel pathway-based polygenic risk score methods in nutritional epidemiology contexts.
• Exploring the role of the TGF-β signaling pathway in diet-related cancer risk as suggested by the title.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
• File is provided in the widely compatible XLSX format.
• The description specifies the statistical method (multinomial logistic regression) used to generate the results.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 13.4 KB, indicating limited scope.

Provenance

Source

figshare, authored by Joel Sanchez Mendez.

Collection Method

Results derived from multinomial logistic regression models, as stated in the description.

Freshness

Last updated 2026-06-02 07:21:56; freshness should be verified.