Primary Immunodeficiency Genes as Risk Factors in Systemic Lupus Erythematosus

A database of 453 primary immunodeficiency (PID) genes analyzed for genetic association and expression in systemic lupus erythematosus (SLE). The dataset was developed by Haley Davis and last updated in March 2026. It includes results from protein-protein interaction clustering, differential expression analysis, and machine learning classifier performance.

Use Cases

• Identifying novel SLE risk genes based on overlap with known PID genes.
• Analyzing differential expression patterns of PID genes in specific immune cell subsets like T cells and monocytes.
• Training machine learning classifiers to predict SLE disease status using PID gene groupings.
• Mapping protein-protein interaction networks to discover functional clusters involved in lupus pathogenesis.
• Investigating associations between PID gene expression and measures of lupus disease activity.

Strengths

• Includes a defined set of 453 primary immunodeficiency genes.
• Machine learning classifiers achieved reported accuracies of 0.80 for classifying lupus and 0.74 for classifying active disease.
• Results are derived from analysis across multiple sample types and immune cell subsets.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is very small (10.2 KB), indicating it likely contains summary or processed results rather than raw genetic data.
• Description metadata is limited; actual data structure and field semantics must be inferred.

Provenance

Source

figshare, author Haley Davis

Collection Method

Developed from a comprehensive database of PID genes, with analysis of PPI networks, differential expression, and machine learning.

Time Range

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Freshness

Last updated 2026-03-18 10:09:46

Geography

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