Meta-Analysis and Expression Data on DNA Repair Gene Polymorphisms in Leukemia

A meta-analysis of 54 studies investigating associations between DNA repair gene polymorphisms and leukemia risk, conducted by Honghui Ye and published in 2026. The study includes gene expression analyses from Leukemia DB, GEPIA2, and BloodSpot datasets. Results identify specific polymorphisms, such as XPD Lys751Gln and XRCC1 Arg399Gln, associated with increased susceptibility.

Use Cases

• Identify leukemia risk-associated genetic variants based on meta-analysis results for polymorphisms like ERCC1 8092C>A and XPC Lys939Gln.
• Investigate subtype-specific expression patterns of DNA repair genes based on analyses from Leukemia DB, GEPIA2, and BloodSpot datasets.
• Validate potential biomarkers for leukemia risk stratification based on the identified significant polymorphisms and differential expression patterns.

Strengths

• Includes a meta-analysis of 54 studies, providing a synthesized evidence base.
• Results are specific, naming significant polymorphisms like XPD Lys751Gln and XRCC1 Arg399Gln.
• Gene expression analysis leverages multiple established datasets (Leukemia DB, GEPIA2, BloodSpot).
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is a 702.5 KB DOCX document; the underlying structured data (rows, columns) is unavailable for direct computational analysis.
• Column-level documentation is absent; field semantics must be inferred from the document text.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

figshare, authored by Honghui Ye.

Collection Method

Systematic literature search of PubMed, Web of Science, Scopus, and Cochrane Library, combined with gene expression analysis in public databases.

Time Range

Literature search conducted until December 3, 2025.

Freshness

Last updated 2026-04-23 04:21:50.

Geography

null