Table 3.
Association of genetically determined plasma S100A8/A9 with risk of HF events in one- and two-sample MR analysis
Methods | Genetic tools | OR (95%CI) | P-value |
---|---|---|---|
One-sample MR | |||
2SLS | S100A8/A9 genetic score | 1.20 (1.003–1.44) | 0.047 |
Two-sample MR | |||
Post-AMI HF | |||
Wald ratio | S100A8/A9 genetic score | 2.06 (1.25–3.39) | 0.004 |
IVW | cis-pQTLs for S100A8/A9 (rs59961408, rs1560832, rs3014874, rs3014875, rs12033317) | 1.55 (1.15–2.09) | 0.004 |
MR-Egger regression (intercept = −0.10, P-value = 0.744) | |||
General HF | |||
IVW | cis-pQTLs for S100A8/A9 (rs59961408, rs12119788, rs1560832, rs3014874, rs3014875, rs12033317) | 1.04 (1.01–1.07) | 0.016 |
MR-Egger regression (intercept = 0.001, P-value = 0.894) |
The two-stage least squares method was used to calculate causal effects in the one-sample MR. The causal effect was calculated by combining variant-specific causal estimates in an IVW fixed-effects meta-analysis in two-sample MR. All tests were two-sided and P < 0.05 was considered as significant. Source data are provided in the Source Data File.
CI confidence interval, HF heart failure, IV instrumental variable, IVW inverse-variance weighted, MR Mendelian randomization, OR odds ratio, SNPs single nucleotide polymorphisms, UKB UK Biobank, 2SLS Two Stages Least Square.