Genetic Association Study for Paracoccidioidomycosis from Systematic Review

A 65.9 KB Excel table presents results from a systematic review on genetic susceptibility to paracoccidioidomycosis (PCM). The dataset, authored by Sanderson da Silva Coelho and last updated on March 19, 2026, includes genotype frequencies, odds ratios, p-values, and model fit criteria for variants in genes like CTLA4, CD209, and various interleukins.

Use Cases

• Identify genetic variants associated with disease susceptibility based on odds ratios and p-values.
• Compare inheritance models (codominant, dominant, recessive) using AIC and BIC criteria.
• Assess statistical robustness of associations using FDR-corrected p-values and Hardy-Weinberg equilibrium checks.
• Analyze genotype frequency differences between healthy controls and PCM patients.

Strengths

• Includes multiple statistical measures per variant: odds ratios, confidence intervals, p-values, and model fit criteria (AIC/BIC).
• Applies statistical corrections (FDR) and highlights deviations from Hardy-Weinberg equilibrium.
• Covers 13 specific immune-related genes (e.g., CTLA4, IL10, TNF, VDR).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description notes 'low statistical power' and 'insufficient sample size' as discussed limitations in the source review.

Provenance

Source

figshare, author Sanderson da Silva Coelho.

Collection Method

Data extracted and compiled from studies included in a systematic review.

Time Range

Temporal coverage of the underlying studies is not specified.

Freshness

Last updated 2026-03-19 17:27:19; freshness should be verified.

Geography

Spatial coverage is not specified.