Table 2 The 35 strongest candidate genes for association with tendinopathy identified by cross knowledge domain semantic discovery in the BioOntological Relationship Graph (BORG) database.

From: Semantic interrogation of a multi knowledge domain ontological model of tendinopathy identifies four strong candidate risk genes

HGNC Gene Symbol

Ensembl Gene ID

No. of independent paths to “Tendinitis#”

No. of unique paths to “Tendinitis#”

Fold change expression in tendinopathic vs healthy tendons*

ACAN

ENSG00000157766

22

3

 

ADAMTS2

ENSG00000087116

22

2

 

ANGPT2

ENSG00000091879

16

2

 

B4GALT7

ENSG00000027847

22

2

 

BMP2

ENSG00000125845

22

2

 

COL11A1

ENSG00000060718

76

4

 

COL11A2

ENSG00000204248

28

2

−1.85

COL1A1

ENSG00000108821

22

2

 

COL1A2

ENSG00000164692

22

2

 

COL2A1

ENSG00000139219

48

3

 

COL3A1

ENSG00000168542

30

2

 

COL5A1

ENSG00000130635

62

3

 

COL5A2

ENSG00000204262

30

2

 

COMP

ENSG00000105664

23

2

 

CX3CL1

ENSG00000006210

40

2

 

CXCR3

ENSG00000186810

23

2

 

CYR61

ENSG00000142871

26

2

 

ELN

ENSG00000049540

20

2

1,84

FGF2

ENSG00000138685

34

2

 

FOXC1

ENSG00000054598

40

2

 

HIF1A

ENSG00000100644

22

2

 

HPSE

ENSG00000173083

19

4

 

HSPG2

ENSG00000142798

16

2

 

IL1B

ENSG00000125538

26

2

 

ITGB2

ENSG00000160255

14

2

 

ITGB3

ENSG00000259207

28

5

1,68

KDR

ENSG00000128052

37

3

 

LOX

ENSG00000113083

37

3

1,97

MMP9

ENSG00000100985

44

4

 

NF1

ENSG00000196712

46

2

 

PTK2B

ENSG00000120899

15

2

 

SERPINE1

ENSG00000106366

31

3

 

SERPINH1

ENSG00000149257

22

2

 

TGFB2

ENSG00000092969

40

2

 

TNXB

ENSG00000168477

40

3

 
  1. Genes listed were previously implicated in other connective tissue diseases and subsequently subjected to further prioritisation strategies. *GEO dataset GDS4901; p < 0,05 #Human disease ontology term (DOID:971)
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