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Table 4 The top 50 differentially methylated CpGs in whole blood, ordered by q-value, when comparing the high and control burden groups

From: DNA methylation in the adipose tissue and whole blood of Agent Orange-exposed Operation Ranch Hand veterans: a pilot study

CpG

CHR

Gene

Regression Coeff.

pval

qval

cg13442689

7

PTPRN2

0.037

2.1E-07

0.100

cg04344875

7

MEST,MESTIT1

0.019

8.3E-07

0.179

cg06353830

1

 

−0.024

1.3E-06

0.179

cg07064673

11

HCCA2

0.016

1.5E-06

0.179

cg02500300

4

STOX2

0.014

2.1E-06

0.204

cg19558802

15

GLDN

0.047

3.1E-06

0.248

cg23154021

12

 

−0.059

3.7E-06

0.259

cg14950515

4

 

−0.048

4.5E-06

0.273

cg24393602

6

GSTA4

0.018

6.3E-06

0.337

cg06713076

17

 

−0.020

7.4E-06

0.354

cg04507925

2

UNC80

−0.030

9.1E-06

0.354

cg20697519

1

SLAMF8

0.021

1.0E-05

0.354

cg03450733

X

ARX

−0.061

1.0E-05

0.354

cg12948543

14

PACS2

0.014

1.2E-05

0.354

cg08084655

17

BTBD17

−0.034

1.3E-05

0.354

cg00152946

10

 

−0.017

1.3E-05

0.354

cg18898267

8

 

−0.050

1.3E-05

0.354

cg20845970

8

 

−0.022

1.4E-05

0.354

cg21461300

13

RASA3

−0.038

1.5E-05

0.354

cg08721112

1

 

−0.086

1.5E-05

0.354

cg21355100

19

ZNF555

0.024

1.5E-05

0.354

cg10881110

1

SLC25A34

0.020

1.7E-05

0.360

cg06534800

5

DOK3

0.019

1.7E-05

0.360

cg24352317

X

LOC729609

−0.032

2.1E-05

0.425

cg24757937

14

SIX1

−0.036

2.3E-05

0.425

cg22258713

8

 

0.048

2.3E-05

0.425

cg24851684

6

DHX16

0.017

2.4E-05

0.425

cg00893368

13

RASA3

−0.025

2.5E-05

0.436

cg11576274

1

 

−0.048

2.7E-05

0.449

cg27590787

X

 

0.089

2.9E-05

0.476

cg26708559

7

MEST,MESTIT1

0.017

3.1E-05

0.477

cg16204066

6

ITPR3

−0.024

3.2E-05

0.477

cg06439589

X

SSR4

0.014

3.3E-05

0.477

cg12905592

12

FMNL3

0.020

3.8E-05

0.477

cg08772163

13

ARL11

0.013

4.1E-05

0.477

cg22741244

2

KLHL30

−0.027

4.1E-05

0.477

cg11646505

6

 

0.013

4.2E-05

0.477

cg03290530

3

 

0.045

4.2E-05

0.477

cg08132116

3

NICN1

0.015

4.2E-05

0.477

cg21032058

14

TMEM63C

0.012

4.3E-05

0.477

cg00329180

16

ANKRD11

0.020

4.4E-05

0.477

cg00044796

1

 

−0.105

4.7E-05

0.477

cg13036944

3

 

0.013

4.7E-05

0.477

cg02184697

16

KREMEN2

−0.050

4.8E-05

0.477

cg05825400

17

ABR

0.030

5.0E-05

0.477

cg26114595

17

EFCAB5

0.019

5.0E-05

0.477

cg01987515

2

COPS7B

0.010

5.2E-05

0.477

cg17733084

1

NEXN

−0.014

5.3E-05

0.477

cg22671717

1

 

−0.103

5.4E-05

0.477

cg26289712

8

 

0.016

5.4E-05

0.477

  1. Data generated from a linear model with empirical Bayes estimation, which we used for the whole blood DNA methylation beta value comparisons between the Ranch Hand veterans with high serum TCDD levels (n = 15) and the control group (n = 12). The q-value was calculated using the Benjamini-Hochberg method. The regression coefficient identifies the direction of methylation change between the burden groups and was determined via the model we constructed. Genes associated with each CpG are also given in the table