Meta-Analysis Data on CYP1A1 Gene Polymorphisms and Prostate Cancer Risk

15 studies for rs4646903 and 14 studies for rs1048943 were included in a meta-analysis evaluating associations between CYP1A1 gene polymorphisms and prostate cancer susceptibility. The dataset, created by Ruobing Teng and last updated in April 2026, contains results from a systematic search of PubMed, EMBASE, CNKI, and Wanfang databases up to December 31, 2024.

Use Cases

• Validate genetic association findings based on the reported odds ratios and confidence intervals.
• Replicate meta-analysis models (dominant, homozygous, allele, recessive) for the rs4646903 and rs1048943 loci.
• Assess study quality using the Newcastle-Ottawa Scale (NOS) methodology referenced in the description.
• Compare genetic risk profiles across different populations based on the aggregated case-control studies.

Strengths

• Includes results from 15 studies for one polymorphism and 14 for another, providing a quantitative synthesis.
• Reports specific odds ratios, confidence intervals, and p-values for multiple genetic models (e.g., OR=1.39 for rs4646903 dominant model).
• Study selection and quality assessment followed a documented systematic review methodology.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect publication or source bias inherent to the included databases and studies.

Provenance

Source

Ruobing Teng via figshare

Collection Method

Systematic literature search and meta-analysis performed using RevMan 5.3 software.

Time Range

Literature searched 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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