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Table 3 Top ten CpG sites in meta-analysis of ComR in relation to methylation in whole blood showing the same direction of effect in discovery and replication cohort

From: Epigenome-wide association study identifies DNA methylation markers for asthma remission in whole blood and nasal epithelium

CpG

CHR

Great annotation (distance to TSS)

Discovery

Replication-EGEA

Meta-analysis

Coef

SE

P

N

Coef

SE

P

Nb

P.meta

Direction

cg24788483a

10

HABP2 (− 401132), TCF7L2 (+ 201,644)

− 1.31E−02

2.11E−03

4.62E−10

54

− 1.348

0.544

0.013

56 (53/3)

8.49E−10

cg15223066

10

ITGB1 (− 23,896), NRP1 (+ 354472)

− 8.56E−03

1.39E−03

6.65E−10

54

− 0.658

0.470

0.161

92 (89/3)

1.13E−06

cg26909813

17

RPRML (-605)

− 2.68E−02

4.15E−03

1.06E−10

54

− 0.621

0.539

0.249

95 (92/3)

1.52E−06

cg02341571

15

PATL2 (+ 150)

− 1.69E−02

2.71E−03

4.39E−10

54

− 0.253

0.388

0.515

64 (62/2)

2.59E−06

cg00269245

16

SLC12A3 (− 41116), NUP93 (+ 93986)

1.13E−02

1.86E−03

1.14E−09

54

0.832

1.109

0.453

70 (68/2)

4.62E−06

 +  + 

cg24833566

4

MTNR1A (− 152680), FAT1 (+ 15608)

1.02E−02

1.71E−03

2.38E−09

54

0.658

0.758

0.386

77 (74/3)

6.87E−06

 +  + 

cg25881850

11

KCNK4 (− 1426)

− 1.23E−02

2.23E−03

3.43E−08

54

− 0.838

0.816

0.304

68 (67/1)

9.09E−06

cg24730612

14

FOS (− 95503), TMED10 (− 6640)

− 1.47E−02

2.50E−03

4.15E−09

54

− 0.260

0.489

0.595

62 (61/1)

1.09E−05

cg23250019

11

SLC29A2 (+ 818)

2.15E−02

4.00E−03

7.62E−08

54

0.645

0.541

0.234

82 (79/3)

1.61E−05

 +  + 

  1. P.meta: the P value of meta-analysis of results from discovery and EGEA by using weighted Z-scores method
  2. Direction: the direction of regression coefficient in discovery and EGEA
  3. A list of all 129 significant CpG sites identified in discovery cohort and the information of replication in EGEA is shown in Additional file 2: Table S9
  4. aThe CpG site was replicated with meta P value < 1.14 × 10–7
  5. bN (persA/ComR), N varies from one CpG to another because of the methylC-capture sequencing method used and different QC criteria in EGEA