Skip to main content

Table 1 Results from the automatic mapping of GWAS phenotypes to relevant human-related vocabularies in BioPortal

From: Semantically enabling a genome-wide association study database

Vocabulary

Number of mappings

Coverage of GWAS Central phenotypes

Number of unique mappings

Unique coverage of the total automatic mappings made

 

Exact

Partial

Exact

Partial

Exact

Partial

Exact

Partial

Human Disease Ontology (DO)

113

146

10.8%

14.0%

3

1

0.9%

0.2%

Human Phenotype Ontology (HPO)

73

140

7.0%

13.4%

16

30

4.8%

6.9%

International Classification of Diseases (ICD10)

39

81

3.7%

7.7%

0

0

0%

0%

Medical Subject Headings (MeSH)

213

256

20.4%

24.5%

51

29

15.4%

6.7%

Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT)

220

291

21.0%

27.8%

33

53

9.9%

12.2%

  1. The numbers of mappings achieved for both the exact and partial searches are shown along with the percentage of the total number of GWAS Central phenotypes this relates to. A total of 1046 distinct trait descriptions were assessed and 332 were exactly mapped and 434 partially mapped to terms in one or more of the vocabularies. The number of cases where the vocabulary in question is the only vocabulary to map to a particular trait description is given in the “Number of unique mappings” column, followed by the percentage of the total number of automatic annotations this represents.