Table 1 Pathways of ANNOVAR-, distance- and eQTL-based differentially expressed genes associated with breast cancer CpGs.

From: Integrative multi-omic analysis identifies genetically influenced DNA methylation biomarkers for breast and prostate cancers

Gene association approach

Pathway database

Pathway

FDR

ANNOVAR-based

BioPlanet

Cell–cell communication

2.44 × 10−3

Cell junction organisation

6.13 × 10−3

Cell adhesion molecules (CAMs)

3.42 × 10−2

Circadian rhythm

3.89 × 10−2

Elsevier

Oestrogen deficiency in female obesity

6.64 × 10−3

Circadian clock in sleep regulation

2.92 × 10−2

Telogen maintenance in androgenic alopecia

4.03 × 10−2

Local oestrogen production in endometriosis

4.46 × 10−2

KEGG

Cell adhesion molecules

2.20 × 10−2

Tight junction

3.35 × 10−2

MSigDB

UV response Dn

1.12 × 10−2

Mitotic spindle

3.21 × 10−2

Oestrogen response early

3.21 × 10−2

Apical junction

3.21 × 10−2

Reactome

Cell–cell communication

6.87 × 10−3

Cell junction organisation

1.78 × 10−2

Distance-based

BioCarta

Role of BRCA1, BRCA2 and ATR in cancer susceptibility

1.83 × 10−2

Caspase cascade in apoptosis

1.83 × 10−2

Elsevier

Oestrogen deficiency in female obesity

9.40 × 10−4

eQTL-based

WikiPathway

Glycerolipids and glycerophospholipids

2.04 × 10−2

Fatty acid beta-oxidation

3.83 × 10−2