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Table 10 GO - Biological process functional annotation results for Model 7.

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

GO: Biological Process Terms

No. of genes that overlap with our list

Associated q-value

No. of genes in cancer pathway

Association with cancer pathway

Regulation of Signal Transduction

540 (21.5%)

1.54E-29

56

2.06E-15

Cellular Development Process, Cell Differentiation

633 (19.2%)

2.16E-21

74

4.02E-23

Phosphate Containing Compound Metabolic Process

653 (19.1%)

2.16E-21

59

2.35E-14

Anatomical Structure Formation, Morphogenesis

271 (22.7%)

8.04E-17

34

1.72E-11

Neuron Development

229 (23.9%)

8.47E-17

29

1.57E-09

Actin Cytoskeleton Organization

142 (27.6%)

1.53E-15

13

1.46E-03

Regulation of Catalytic Activity

411 (19.8%)

3.30E-15

48

5.03E-15

Circulatory System Development

199 (23.3%)

1.67E-13

40

1.45E-19

Cell Junction Assembly

70 (33.8%)

3.87E-12

10

3.12E-04

Vasculature Development

139 (24.9%)

1.28E-11

28

1.27E-13

Regulation of Adhesion

137 (24.7%)

2.71E-11

25

1.46E-11

Regulation of Programmed Cell Death

339 (19.3%)

5.69E-11

48

2.25E-17

Protein Kinase Activity

180 (22.0%)

4.18E-10

30

3.16E-15

Response to External Stimulus

142 (23.1%)

1.83E-09

20

4.95E-07

Epithelium Development

214 (20.5%)

4.47E-09

46

1.07E-25

Response to Growth Factor

151 (22.1%)

9.85E-09

35

5.21E-19

Protein Modification Process

526 (17.0%)

5.44E-08

57

6.96E-17

Regulation of Developmental Process

190 (19.6%)

1.19E-06

36

7.49E-17

Regulation of Cell Growth

71 (21.5%)

4.62E-05

9

3.88E-03

Mesonephros Development

27 (26.0%)

3.82E-04

12

2.08E-10

  1. Biological Process annotation table for significantly altered genes in Model 7 obtained using ConsensusPathDB. Out of 340 GO: Biological Process terms with q-value <0.01, information of 20 important terms are reported. For each annotation term in the list, we have conducted KEGG Pathway Analysis. Almost all of the terms were significantly associated with "Pathways in Cancer".