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. 2024 Mar 27;15:2701. doi: 10.1038/s41467-024-46973-7

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.