http://rdf.disgenet.org/resource/nanopub/NP342206.RAcG1A3eX8cKk88YuLIgr6Zhj_wa52a2JpJXHIurfdHg4
type: Nanopublication
created: 2015-08-25T14:40:57+02:00
rights: http://opendatacommons.org/licenses/odbl/1.0/
rights holder: IBIGroup
subject: SIO_000983
used data: disgenetv3.0rdf
authored by: http://orcid.org/0000-0001-5999-6269
authored by: http://orcid.org/0000-0002-7534-7661
authored by: 0000-0002-9383-528X
authored by: http://orcid.org/0000-0003-0169-8159
authored by: http://orcid.org/0000-0003-1244-7654
created by: http://orcid.org/0000-0003-0169-8159
version: v3.0.0.0

http://rdf.disgenet.org/resource/nanopub/NP342206.RAcG1A3eX8cKk88YuLIgr6Zhj_wa52a2JpJXHIurfdHg4130_assertion
type: Assertion
description: [The method was also found to accurately localise the known susceptibility variants in an empirical data set--the DeltaF508 mutation for cystic fibrosis--where the susceptibility variant is already known--and to find significant signals for association between the CYP2D6 gene and poor drug metabolism, although for this dataset the highest association score is about 60 kb from the CYP2D6 gene.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/17042942
was generated by: ECO_0000203

befree-20150227
imported on: 2015-02-27

DisGeNET evidence - LITERATURE
type: ECO_0000212
comment: Gene-disease associations inferred from text-mining the literature.

disgenetv3.0rdf
version: v3.0.0