Skip to main content

Table 3 Causal estimates from summary-level MR analysis under linearity assumption

From: Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study

Genetically predicted exposure

Outcome data

N of overlapping SNPs

MR-Egger intercept P value

MR methods

Estimated beta

Estimated standard error

Estimated P value

Creatinine-based eGFR

UK Biobank

140

0.359

Inverse variance weighted

− 0.121

0.544

0.824

Weighted median

0.578

0.553

0.296

MR-Egger

1.056

1.390

0.449

CARDIoGRAMplusC4D

137

0.183

Inverse variance weighted

0.380

0.497

0.445

Weighted median

0.279

0.510

0.585

MR-Egger

1.985

1.297

0.128

Cystatin C-based eGFR

UK Biobank

347

0.618

Inverse variance weighted

− 0.289

0.350

0.409

Weighted median

0.183

0.460

0.690

MR-Egger

− 0.022

0.639

0.971

CARDIoGRAMplusC4D

341

0.697

Inverse variance weighted

0.062

0.316

0.845

Weighted median

− 0.286

0.376

0.448

MR-Egger

− 0.135

0.598

0.821

  1. SNP single-nucleotide polymorphism, MR Mendelian randomization, eGFR estimated glomerular filtration rate