Table 4

Differential methylation analysis of the eight selected BW-MVPs using the Infinium and DBS data

Infinium

DBS



CpG number

Gene

Mean heavy co-twinsa

Mean light co-twinsa

Mean difference

Pb

Mean heavy co-twinsc

Mean light co-twinsc

Mean difference

Pb


cg14123607

APBA1

0.22 ± 0.07

0.15 ± 0.07

0.07 ± 0.05

0.0008

0.09 ± 0.05

0.09 ± 0.05

0.006 ± 0.04

0.30

cg12170649

APPL2

0.81 ± 0.04

0.86 ± 0.02

-0.06 ± 0.05

<0.0001

0.97 ± 0.02

0.97 ± 0.02

-0.002 ± 0.02

0.86

cg26404226

NA

0.50 ± 0.05

0.56 ± 0.07

-0.05 ± 0.04

<0.0001

0.35 ± 0.08

0.36 ± 0.06

-0.01 ± 0.05

0.46

cg15487251

IGF2BP2d

0.53 ± 0.05

0.58 ± 0.04

-0.05 ± 0.05

0.002e

0.65 ± 0.05

0.64 ± 0.06

0.01 ± 0.03

0.04

cg10362113

PAPOLAd

0.83 ± 0.08

0.77 ± 0.06

0.06 ± 0.07

0.008

0.98 ± 0.04

0.99 ± 0.03

-0.01 ± 0.05

0.50

cg02409150

PHKG2

0.88 ± 0.05

0.94 ± 0.03

-0.06 ± 0.05

<0.0001

0.93 ± 0.02

0.93 ± 0.02

-0.006 ± 0.03

0.43

cg15049370

PPARGC1Bd

0.70 ± 0.06

0.77 ± 0.07

-0.07 ± 0.07

0.002e

0.96 ± 0.01

0.97 ± 0.02

-0.007 ± 0.02

0.23

cg22768222

RUNX2

0.37 ± 0.07

0.31 ± 0.05

0.06 ± 0.07

0.008

0.21 ± 0.03

0.21 ± 0.03

0.001 ± 0.05

1.00


Results of the Wilcoxon signed-rank test of the 8 selected MVPs performed on the Infinium and the DBS data in the 16 MZ twins discordant for birth weight (pair 1 was excluded) are presented. aInfinium data are expressed as mean β-value ± SD. bHeavy versus light calculated using a Wilcoxon signed-rank test. cDBS data are expressed as mean methylation level ± SD, where the methylation level is calculated by dividing the number of reads in which the particular CpG is methylated by the total number of sequenced reads. dInfinium and DBS data were adjusted for buccal content (using PTPN7) and the adjusted values are presented. eAlso significant without adjusting for buccal marker. Mean difference = Heavy co-twin - Light co-twin. BW-MVP, birth weight-associated methylation variable position; DBS, deep bisulfite sequencing; MZ, monozygotic.

Souren et al. Genome Biology 2013 14:R44   doi:10.1186/gb-2013-14-5-r44

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