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Table 1 A subset of negative-class proteins predicted to be disease-related

From: Network-based prediction and knowledge mining of disease genes

Conf. Score

OS

DORIF

OMIM

Suspected Disease Relationship

6.24096

CDH5

-

-

Melanoma, tumor metastasis

5.8186

PTCH1

-

109400, 605462, 610828

Basal Cell Nevus Syndrome, Basal Cell Carcinoma

5.19721

STAMBPL1

-

-

Very light evidence, Alzheimer's

5.14813

MDH2

-

-

Very light evidence, tumor development

1.09972

DPP4

-

-

Diabetes (17 PMIDs), colon cancer (3 PMIDs)

1.09972

GRK5

-

-

Very light evidence, heart failure

0.907016

GZMB

-

-

Lymphoma (30 PMIDs), tumors (92 PMIDs)

0.898631

TCF4

-

610954

Pitt-Hopkins Syndrome, various cancer (light evidence)

0.705929

FGR

-

-

Breast cancer (3 PMIDs), prostate cancer (1 PMID)

0.705929

FLT1

-

-

Cancer, various

0.705929

PECAM1

-

-

Cancer, various

0.705929

SREBF2

-

-

Prostate cancer (2 PMIDs)

0.705929

STAT6

-

-

Prostate cancer (3 PMIDs)

0.705929

TOP1

-

-

Leukemia, colon and ovarian cancer

0.664823

CD74

-

-

Very light evidence, lymphoma

  1. A subset of 15 proteins belonging to the non-disease-related class (lacking DORIF annotation) but predicted to be disease-related, sorted by the ADTree-assigned confidence score. Two proteins (PTCH1 and TCF4) have associated OMIM disorders. 9/15 proteins (CDH5, DPP4, GZMB, FGR, FLT1, PECAM1, SREBF2, STAT6, and TOP1) have moderate to strong evidence of disease association, while 4/15 (STAMBPL1, MDH2, GRK5, and CD74) have light evidence linking them to disease. (n PMIDs) indicates the number of PubMed IDs connecting a protein to a particular disease. 'Conf. Score' is the confidence score assigned by the ADTree classifier, 'OS' is the official symbol of the gene, 'DORIF' is Disease Ontology + Gene Reference Into Function, 'OMIM' is the MIM number associated with the gene, 'light evidence' is defined as having a predicted disease association according to the MalaCards database [48]. Disease information for this table was acquired from the GeneCards database [49].