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Table 1 Causal estimates from the summary-level data-based MR from the GWAS summary statistics

From: The causal relationship between COVID-19 and estimated glomerular filtration rate: a bidirectional Mendelian randomization study

Geneticallypredicted exposure

Outcome

MR method

Withtrimmedgenetic instrument

With total SNPs

beta

Standard error

P

beta

Standard error

P

eGFRcrea

Severe COVID-19

Inverse variance weighted

1.01

0.349

0.004

0.831

0.296

0.005

  

MR-Egger

1.28

0.806

0.114

1.09

0.66

0.101

  

Panelized weighted median

1.38

0.557

0.013

0.615

0.491

0.21

  

MR-PRESSO

1.01

0.349

0.004

0.831

0.296

0.005

Severe COVID-19

eGFRcrea

Inverse variance weighted

-0.0002

0.001

0.733

-0.0001

0.0006

0.963

  

MR-Egger

-0.0003

0.001

0.814

-0.0002

0.001

0.887

  

Panelized weighted median

-0.0001

0.001

0.858

0.0003

0.001

0.626

  

MR-PRESSO

-0.0002

0.001

0.736

-0.0001

0.0006

0.963

Severe COVID-19

CKD

Inverse variance weighted

0.015

0.015

0.318

0.019

0.014

0.188

  

MR-Egger

0.02

0.027

0.458

0.020

0.027

0.468

  

Panelized Weighted median

-0.01

0.02

0.633

0.010

0.020

0.620

  

MR-PRESSO

0.015

0.015

0.325

0.019

0.014

0.196

  1. MR = Mendelian randomization, SNP = single nucleotide polymorphism, eGFR = estimated glomerular filtration rate, CKD = chronic kidney disease