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Abstract: FR-PO867

Uric Acid and Risk of Preeclampsia: A Mendelian Randomization Study

Session Information

Category: Women's Health and Kidney Diseases

  • 2200 Women's Health and Kidney Diseases

Authors

  • Lin, Yitao, Peking Union Medical College Hospital, Dongcheng-qu, Beijing, China
  • Ma, Yixin, Peking Union Medical College Hospital, Dongcheng-qu, Beijing, China
  • Xu, Lubin, Peking Union Medical College Hospital, Dongcheng-qu, Beijing, China
  • Chen, Limeng, Peking Union Medical College Hospital, Dongcheng-qu, Beijing, China
Background

Maternal serum uric acid (UA) is observationally associated with preeclampsia. However, whether elevated uric acid is a marker of the disease or a causal factor remains unknown. We conducted a two-sample Mendelian randomization (MR) analysis to explore the potential causal effect of UA on preeclampsia.

Methods

Summary statistics for UA were from a meta-analysis of genome-wide association studies involving 288,649 individuals of European ancestry, while summary statistics for preeclampsia or eclampsia (PE) were from the FinnGen consortium with 6,436 cases and 176,113 controls. Independent SNPs strongly associated with UA were selected as instrumental variables in causal inference, removing the confounders influencing PE, such as BMI, fasting insulin, HDL, and triglyceride. We applied the inverse variance weighted (IVW) method as the primary analysis and applied MR Egger, weighted median, and MR-PRESSO to evaluate the results. We calculated F statistics to detect weak instrument bias and calculated the power of the MR analysis.

Results

The four MR methods did not reveal the significant causal effect of UA on PE (IVW: OR, 1.08; 95% CI, 0.94-1.23; MR Egger: OR, 1.01; 95% CI, 0.81-1.26; weighted median: OR, 1.07; 95% CI, 0.90-1.27; MR-PRESSO: OR, 1.10; 95% CI, 0.98-1.26). F statistics for individual SNP and overall SNPs were all greater than 10, indicating that weak instrument bias was low. The MR analysis had 48.7% power to detect an OR of 1.1.

Conclusion

This MR study did not support the causal effect of UA on PE.

Selection of instrumental variables.

MR analyses of the causal effect of UA on PE.