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Table 1 Association of genetically predicted cortisol (P value< 5 × 10−6 and r2 < 0.001) based on 3 separate data sources (CORtisol NETwork (CORNET) consortium, Shin GWAS, and Long GWAS) with ischemic heart disease (IHD) based on the CARDIoGRAMplusC4D 1000 Genomes-based GWAS (1000 Genomes) with replication based on the UK Biobank using Mendelian randomization (MR) with different methods

From: The role of cortisol in ischemic heart disease, ischemic stroke, type 2 diabetes, and cardiovascular disease risk factors: a bi-directional Mendelian randomization study

Exposure sources

Outcome sources

SNPs

F-statistic

Method

Odds ratio

95% CI

 

P value

IVW

MR-Egger

Cochran’s Q-statistic

P value

Intercept P value

I2

CORNET 2014

1000 Genomes

6

28.3

IVW

0.98

0.93

1.03

0.42

2.18

0.82

  
   

WM

1.00

0.93

1.07

0.95

    
   

MR-Egger

0.98

0.90

1.06

0.63

  

0.96

81.5%

   

MR-PRESSO

0.98

0.93

1.02

0.28

    

UK Biobank

6

28.3

IVW

0.99

0.93

1.05

0.71

2.29

0.81

  
   

WM

0.99

0.92

1.07

0.82

    
   

MR-Egger

0.99

0.89

1.10

0.85

  

0.96

71.3%

   

MR-PRESSO

0.99

0.94

1.04

0.61

    

Shin GWAS 2014

1000 Genomes

5

23.9

IVW

0.74

0.47

1.17

0.19

4.52

0.34

  
   

WM

0.78

0.45

1.35

0.37

    
   

MR-Egger

0.84

0.32

2.20

0.72

  

0.77

35.3%

   

MR-PRESSO

0.74

0.39

1.41

0.26

    

UK Biobank

5

23.9

IVW

0.96

0.56

1.67

0.89

6.21

0.18

  
   

WM

1.09

0.61

1.95

0.76

    
   

MR-Egger

1.58

0.58

4.28

0.37

  

0.25

9.3%

   

MR-PRESSO

0.96

0.44

2.10

0.90

    

Long GWAS 2017

1000 Genomes

18

14.9

IVW

1.02

0.99

1.05

0.18

21.43

0.21

  
   

WM

1.01

0.98

1.05

0.44

    
   

MR-Egger

1.02

0.96

1.09

0.47

  

0.91

0%

   

MR-PRESSO

1.02

0.99

1.05

0.20

    

UK Biobank

18

14.9

IVW

0.99

0.96

1.01

0.31

15.35

0.57

  
   

WM

0.99

0.95

1.03

0.57

    
   

MR-Egger

1.00

0.94

1.05

0.89

  

0.70

0%

   

MR-PRESSO

0.99

0.96

1.01

0.30

    
  1. Abbreviations: CI confidence interval, IVW inverse variance weighting, MR Mendelian randomization, SNP single nucleotide polymorphism, WM weighted median