Genome-wide association studies


Ontology type: npg:Subject  | skos:Concept     


Concept Info

NAME

Genome-wide association studies

DESCRIPTION

Genome-wide association studies (GWASs) are unbiased genome screens of unrelated individuals and appropriately matched controls or parent-affected child trios to establish whether any genetic variant is associated with a trait. These studies typically focus on associations between single-nucleotide polymorphisms (SNPs) and major diseases.

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This table displays all metadata directly associated to this object as RDF triples.

79 TRIPLES      9 PREDICATES      22 URIs      15 LITERALS

Subject Predicate Object
1 sg:ontologies/subjects/genome-wide-association-studies sgo:license sg:explorer/license/
2 sgo:sdDataset onto_subjects
3 rdf:type npg:Subject
4 skos:Concept
5 rdfs:label Genome-wide association studies
6 skos:altLabel GWA Studies
7 GWA Study
8 Genetic Association Analyses
9 Genetic Association Analysis
10 Genome Wide Association Analysis
11 Genome Wide Association Scan
12 Genome Wide Association Studies
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15 Whole Genome Association Analysis
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17 skos:broader sg:ontologies/subjects/genetic-association-study
18 sg:ontologies/subjects/genomic-analysis
19 skos:definition Genome-wide association studies (GWASs) are unbiased genome screens of unrelated individuals and appropriately matched controls or parent-affected child trios to establish whether any genetic variant is associated with a trait. These studies typically focus on associations between single-nucleotide polymorphisms (SNPs) and major diseases.
20 skos:inScheme sg:ontologies/subjects/
21 skos:prefLabel Genome-wide association studies
22 sg:ontologies/subjects/ dcterms:description The Nature Subjects Taxonomy is a polyhierarchical categorization of scholarly subject areas which are used for the indexing of content by Springer Nature.
23 dcterms:title Nature Subjects Taxonomy
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35 sg:ontologies/subjects/genetic-association-study sgo:sdDataset onto_subjects
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38 rdfs:label Genetic association study
39 skos:altLabel Candidate Gene Analyses
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