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Table 7 Methylation, expression analysis of Batch250 focusing only on thyroid-cancer associated gene.

From: A novel analysis strategy for integrating methylation and expression data reveals core pathways for thyroid cancer aetiology

 

Batch250

 

DMR(FDR)

DE (FDR)

FDRs Combined

Methylation Change (percentage)

RAP1GAP

-

-

8.31E-03

-18.04%

TIMP3

-

-

-

-36.24%

DAPK

-

4.38E-06

2.60E-06

-23.55%

SLC5A8

-

-

-

-11.37%

RARB

-

9.34E-04

5.75E-04

-23.60%

TSHR

-

-

-

-17.94%

RASSF6

-

-

-

-14.54%

CDKN2A

-

1.58E-07

1.65E-06

14.95%

MLH1

-

-

-

-18.74%

FN1

-

6.59E-10

3.45E-10

-39.00%

FOXE1

-

-

-

2.18%

HGF

-

-

-

-11.01%

KRT19

-

9.45E-09

1.17E-08

-27.31%

LGALS3

-

2.58E-07

1.21E-07

-2.92%

MET

-

1.10E-09

2.25E-09

-44.72%

RET

-

-

-

-12.35%

KISS1R

-

1.64E-04

4.23E-04

-1.33%

ADAMTS5

-

-

-

30.39%

HOXB4

-

-

-

-4.06%

TCL1B

8.97E-04

-

7.54E-04

-37.49%

NOTCH4

-

-

-

-22.75%

RASSF1

5.14E-03

-

-

20.21%

PPARG

-

-

-

7.98%

ALK

-

1.05E-03

8.55E-04

-19.68%

NTRK3

-

-

-

-4.02%

  1. Batch250 Results showing Differential Methylation (DMR), Differential Expression (DE), Combination of Differential Methylation and Differential Expression Significances (FDRs Combined) and Methylation Change in %. Only the values with Differential Expression and Differential Methylation Significances below 0.01 are shown on the table. FDR>0.01 are shown as blank. Moreover, methylation change >15% are shown as bold. Combining methylation and expression values greatly improves detecting thyroid-associated-genes as significantly altered.
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BMC Genomics

ISSN: 1471-2164

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