Table 4 Top results in Mendelian randomization analyses.

From: Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases

Exposure

Chr

Gene type

Outcome

INV MR1

N SNPs

Beta

SE

p

PSRC1

1

Protein coding

CHD

− 0.084

0.0075

4.8E−29

7

LTA

6

Protein coding

CHD

− 0.069

0.011

1.3E−09

5

MIR6891

6

miRNA

CHD

1.72

0.28

2.0E−09

25

LIPA

10

Protein coding

CHD

0.0033

0.00039

2.9E−17

18

PHETA1

12

Protein coding

CHD

− 0.078

0.013

4.7E−09

3

ACSL6

5

Protein coding

COVID-19

0.19

0.064

0.0025#

4

DPP9

19

Protein coding

COVID-19

− 0.044

0.017

0.0078#

3

HLA-DRB1

6

Protein coding

COVID-19

0.00099

0.00018

1.9E−08#

35

IFNAR2

21

Protein coding

COVID-19

− 0.023

0.0037

1.8E−06#

11

OAS1

12

Protein coding

COVID-19

− 0.0086

0.0022

1.6E−04$

1

SLC22A31

12

Protein coding

COVID-19

0.32

0.11

0.0029

13

TYK2

21

Protein coding

COVID-19

0.011

0.0021

2.8E−08

3

AC006460.2

2

Bidirectional promoter lncRNA

SBP

− 5.60

0.55

2.3E−24

3

MAP4

3

Protein coding

SBP

0.092

0.0086

4.6E−27

4

PHETA1

12

Protein coding

SBP

− 0.92

0.058

1.9E−58

3

SLC5A11

16

Protein coding

SBP

− 0.82

0.066

5.3E−35

21

ACADVL

17

Protein coding

SBP

− 0.035

0.0030

1.5E−31

3

  1. 1Beta/SE and p-value were obtained by inverse variance weighted MR method.
  2. #Heterogeneity was observed in MR analyses. Sensitivity analyses were performed with median-based and mode-based MR methods in Supplemental Table 9.
  3. $MR analysis was performed at gene level. At splice variation level (rs10774671), the MR p = 4E−06.
Back to article page