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Table 1 Integrative analysis of GWAS and eQTL identified risk genes of AD

From: Convergent lines of evidence support BIN1 as a risk gene of Alzheimer’s disease

Chr

BP

SNP

A1

A2

Gene

b_GWAS

se_GWAS

p_GWAS

b_eQTL

se_eQTL

p_eQTL

b_SMR

se_SMR

p_SMR

p_HEIDI

Integrative analysis of AD GWAS and blood eQTL

 1

161156033

rs11585858

A

C

B4GALT3

0.016

0.003

5.58E− 10

− 0.168

0.011

1.07E− 57

− 0.093

0.016

7.33E− 09

3.33E− 03

 1

161186313

rs4379692

T

C

NDUFS2

0.012

0.002

8.25E− 08

− 0.231

0.009

4.34E− 132

− 0.053

0.010

1.63E− 07

1.22E− 01

 2

127839474

rs11682128

A

G

BIN1

0.031

0.006

2.21E− 08

0.742

0.009

0.00E+ 00

0.042

0.008

2.36E− 08

2.12E− 03

 6

32573415

rs601945

G

A

HLA-DRA

− 0.019

0.003

1.38E− 10

− 0.117

0.014

1.39E− 16

0.160

0.032

3.99E− 07

4.25E− 03

 7

99803412

rs2950517

G

C

CASTOR3

− 0.014

0.002

2.15E− 09

0.124

0.009

3.30E− 42

− 0.114

0.021

4.26E− 08

8.74E− 03

 7

143104331

rs3935067

C

G

EPHA1-AS1

0.015

0.002

6.52E− 11

− 0.466

0.011

0.00E+ 00

− 0.031

0.005

1.11E− 10

6.94E− 03

 14

92955385

rs17783630

C

A

SLC24A4

0.011

0.002

6.71E− 07

− 0.503

0.008

0.00E+ 00

− 0.021

0.004

7.31E− 07

3.28E− 02

 14

92955385

rs17783630

C

A

RIN3

0.011

0.002

6.71E− 07

− 0.165

0.009

9.12E− 77

− 0.064

0.013

1.58E− 06

6.15E− 02

 15

63571820

rs75763893

T

C

APH1B

0.017

0.003

9.15E− 08

0.681

0.018

0.00E+ 00

0.025

0.005

1.22E− 07

5.00E− 02

 17

5014212

rs73976310

A

G

AC012146.7

0.018

0.003

7.04E− 08

− 0.743

0.013

0.00E+ 00

− 0.024

0.004

8.00E− 08

1.55E− 02

 17

5014212

rs73976310

A

G

ZNF232

0.018

0.003

7.04E− 08

− 0.305

0.013

8.16E− 114

− 0.058

0.011

1.57E− 07

7.88E− 02

 19

51731176

rs7245846

A

G

SIGLEC22P

− 0.012

0.002

1.19E− 07

0.166

0.009

2.38E− 70

− 0.072

0.014

3.91E− 07

1.05E− 01

 19

51726911

rs1710398

C

A

CD33

0.011

0.002

4.46E− 07

0.290

0.009

3.60E− 221

0.037

0.007

6.18E− 07

4.27E− 03

 20

54989833

rs6014722

A

T

CASS4

− 0.022

0.004

2.62E− 09

− 0.141

0.016

3.81E− 19

0.159

0.032

7.20E− 07

4.18E− 03

 20

54987216

rs17462136

C

G

RPL39P

− 0.022

0.004

6.43E− 09

− 0.208

0.017

5.07E− 33

0.106

0.020

1.76E− 07

2.50E− 03

Integrative analysis of AD GWAS and brain eQTL

 1

207750568

rs679515

C

T

CR1

− 0.025

0.003

1.10E− 18

− 0.587

0.067

2.10E− 18

0.042

0.007

5.17E− 10

4.67E− 02

 17

5014212

rs73976310

G

A

AC012146.7

− 0.018

0.003

7.04E− 08

0.721

0.062

6.19E− 31

− 0.025

0.005

1.03E− 06

2.73E− 01

  1. We used the blood eQTL results of eQTLGen consortium [18], and the brain eQTL data from the study by Qi et al. [19]. Chr chromosome, BP base position, Gene gene symbol, A1 reference allele, A2 alternative allele, b_GWAS regression coefficient for AD (positive value indicates increased risk for AD in carriers of the alternative allele and negative value represents decreased risk for AD), se_GWAS standard error in GWAS, p_GWAS p value of GWAS, b_eQTL beta value of eQTL (positive values indicate increased expression with alternative allele and negative value represents decreased expression level), se_eQTL standard error of eQTL, p_eQTL p value of eQTL, b_SMR beta value of SMR test (positive values indicate increased expression level of target gene contributed to the risk of AD and negative values represent the opposite results), se_SMR standard error of SMR test, p_SMR p value of SMR test