Genetic Association Meta-Analysis for Hypertension in Chinese Populations

17 studies aggregating data from 9,213 patients and 4,494 controls explore a gene's link to hypertension. The meta-analysis found a modest association between the AT1R A1166C polymorphism and increased risk, with stronger signals in Han and Yi ethnic groups. This dataset, authored by Jun Gu and updated in 2026, includes results from subgroup analyses by ethnicity and region.

Use Cases

• Validate genetic risk scores for essential hypertension based on the AT1R A1166C polymorphism.
• Investigate ethnic disparities in genetic susceptibility to hypertension using subgroup analysis results.
• Design targeted genetic screening programs for high-risk populations based on regional association findings.
• Benchmark new genetic association studies against aggregated meta-analysis odds ratios.
• Teach meta-analysis methodology in genetic epidemiology using a real-world example dataset.

Strengths

• Aggregates data from 17 studies involving a total of 13,707 individuals (9,213 patients, 4,494 controls).
• Includes subgroup analyses by ethnicity (Han, Yi) and geography (northern/northwestern regions).
• Conducted publication bias assessment, with funnel plots indicating low bias.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The description notes subgroup findings should be interpreted cautiously due to potential imbalances.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Systematic literature review and meta-analysis of published studies.

Time Range

Literature from database inception to 31 December 2024.

Freshness

Last updated 2026-06-01 07:26:05

Geography

Chinese population, with analyses for Han, Yi, and northern/northwestern regions.