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. 2016 May 19;11(5):e0155811. doi: 10.1371/journal.pone.0155811

Table 1. Data sources of gene-disease associations.

Source Version/Accessed Type #Associations #Map MeSH % Map MeSH
CTD [50] Jul_02_2015/Aug’15 Curated 24,346 23,813 97.8
OMIM® [37] 18-08-2015/Aug’15 Curated 5,143 3,375 65.6
Orphanet [40] 2015_07_31/Jul’15 Curated 6,094 1,744 28.6
UniProtKB [39] 2015_08 Curated 4,679 3,203 68.5
GWAS Catologue [43] 24_08_2015/Aug’15 Experimental 13,326 5,112 38.4
BeFree [8] 24-Aug-2015/Aug’15 Literature 330,888 233,264 70.5
GoF/LoF -/Oct’15 Literature 4,793 3,459 72.2
SemRep [41] 25/Feb’15 Literature 96,024 72,908 75.9
MGD [9, 11]* 24_08_2015/Aug’15 Predicted 1,943 1,577 81.2
RGD [10]* 21_08_2015/Aug’15 Predicted 7,667 7,667 100

Datasources used for G-D associations. ‘Curated’ refers to manually curated associations, ‘Experimental’ refers to associations drawn directly from genetic experimental observations, ‘Literature’ refers to associations automatically mined from literature and ‘Predicted’ refers to associations statistically inferred from animal models.

Not including 1,397 associations for which the molecule basis is unknown.

Threshold of 1e-7 was used.

See S1 Article.

Extracted associations between gene and disease that were of the following predicates: AFFECTS; ASSOCIATED_WITH; AUGMENTS; CAUSES; PREDISPOSES; COEXISTS_WITH and NEG_ASSOCIATED_WITH as described in [8].

*Used the same parameters used by DisGeNET to extract predicted associations.