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PGxO: A very lite ontology to reconcile pharmacogenomic knowledge units
- Source :
- Methods, tools & platforms for Personalized Medicine in the Big Data Era (NETTAB 2017 Workshop), Methods, tools & platforms for Personalized Medicine in the Big Data Era, Methods, tools & platforms for Personalized Medicine in the Big Data Era, Oct 2017, Palermo, Italy. ⟨10.7287/peerj.preprints.3140v1⟩
- Publication Year :
- 2017
- Publisher :
- PeerJ, 2017.
-
Abstract
- We present in this article a lightweight ontology named PGxO and a set of rules for its instantiation, which we developed as a frame for reconciling and tracing pharmacogenomics (PGx) knowledge. PGx studies how genomic variations impact variations in drug response phenotypes. Knowledge in PGx is typically composed of units that have the form of ternary relationships gene variant–drug–adverse event, stating that an adverse event may occur for patients having the gene variant when being exposed to the drug. These knowledge units (i) are available in reference databases, such as PharmGKB, are reported in the scientific biomedical literature and (ii) may be discovered by mining clinical data such as Electronic Health Records (EHRs). Therefore, knowledge in PGx is heterogeneously described (i.e., with various quality, granularity, vocabulary, etc.). It is consequently worth to extract, then compare, assertions from distinct resources. Using PGxO, one can represent multiple provenances for pharmacogenomic knowledge units, and reconcile duplicates when they come from distinct sources.
- Subjects :
- 0303 health sciences
PharmGKB
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
Commonsense knowledge
Computer science
Knowledge engineering
Open Knowledge Base Connectivity
ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design
02 engineering and technology
[SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences
Data science
ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.5: Heterogeneous Databases
Open Biomedical Ontologies
03 medical and health sciences
Knowledge-based systems
Knowledge extraction
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
Lightweight ontology
030304 developmental biology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Methods, tools & platforms for Personalized Medicine in the Big Data Era (NETTAB 2017 Workshop), Methods, tools & platforms for Personalized Medicine in the Big Data Era, Methods, tools & platforms for Personalized Medicine in the Big Data Era, Oct 2017, Palermo, Italy. ⟨10.7287/peerj.preprints.3140v1⟩
- Accession number :
- edsair.doi.dedup.....16cfd59d1a25fc06f29ab19a0922254f
- Full Text :
- https://doi.org/10.7287/peerj.preprints.3140