CYP1A1 Gene Polymorphisms and Prostate Cancer Risk: Meta-Analysis Results

15 studies for rs4646903 and 14 studies for rs1048943 were included in this meta-analysis. The data, published by Ruobing Teng on figshare in 2026, synthesizes case-control studies from PubMed, EMBASE, CNKI, and Wanfang databases up to December 31, 2024. Results indicate the C allele of rs4646903 may increase prostate cancer risk, while the G allele of rs1048943 may reduce it.

Use Cases

• Validate genetic association signals for prostate cancer based on the reported odds ratios and confidence intervals.
• Perform secondary meta-analysis or sensitivity analysis based on the aggregated study data.
• Train or benchmark polygenic risk score models using the identified risk alleles.
• Compare genetic risk profiles across populations based on the included case-control studies.

Strengths

• Includes results from 15 studies for one polymorphism and 14 for another, providing a substantial evidence base.
• Study quality was assessed using the standardized Newcastle–Ottawa Scale (NOS).
• Analysis was performed using established meta-analysis software (RevMan 5.3).
• Results are presented with specific odds ratios, confidence intervals, and p-values for multiple genetic models.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The geographic or population bias of the included primary studies is not detailed in the description.

Provenance

Source

figshare

Collection Method

Systematic search and meta-analysis of published case-control studies from PubMed, EMBASE, CNKI, and Wanfang.

Time Range

Studies from database inception to December 31, 2024.

Freshness

Last updated 2026-04-15 04:36:51; freshness should be verified.

Geography

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