Causal relationship between uric acid and stroke: a two-sample mendelian randomization study.

Area of Science:

• Genetics
• Epidemiology
• Cardiovascular Research

Background:

• Observational studies present conflicting evidence on the association between uric acid and stroke.
• The causal relationship between uric acid and stroke remains undetermined.
• Mendelian randomization (MR) offers a robust method to investigate causality by utilizing genetic variants.

Purpose of the Study:

• To ascertain the causal relationship between serum uric acid levels and stroke.
• To leverage large-scale genome-wide association study (GWAS) data for robust genetic analysis.
• To address the limitations of previous observational studies through a genetic approach.

Main Methods:

• Utilized Mendelian randomization (MR) with summary data from large GWAS.
• Employed inverse variance weighting (IVW) as the primary analysis method.
• Conducted sensitivity analyses including MR-Egger and weighted median models to assess heterogeneity and pleiotropy.

Main Results:

• A total of 15 single nucleotide polymorphisms (SNPs) were selected as instrumental variables for uric acid.
• The primary analysis (IVW) indicated no statistically significant causal effect of uric acid on stroke (OR = 1.004, 95% CI = 0.940–1.072).
• Sensitivity analyses corroborated the primary finding, showing no evidence of heterogeneity or pleiotropy.

Conclusions:

• This MR study provides strong evidence against a causal relationship between uric acid and stroke.
• The findings suggest that elevated uric acid levels are unlikely to be a direct cause of stroke.
• Further research may focus on other potential risk factors or mechanisms involved in stroke etiology.