http://rdf.disgenet.org/nanopublications.trig#NP871364.RA93g5j9z4RgLLnhpLu_W0PvAvgYUec2llytC8Vfl2HAM
type: Nanopublication
created: 2014-10-02T12:40:53+02:00
rights: http://opendatacommons.org/licenses/odbl/1.0/
rights holder: IBIGroup
subject: SIO_000983
used data: disgenetrdf
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: v2.1.0.0

http://rdf.disgenet.org/nanopublications.trig#NP871364.RA93g5j9z4RgLLnhpLu_W0PvAvgYUec2llytC8Vfl2HAM130_assertion
type: Assertion
description: [Although ACC is extremely rare, recent advances in genomic and expression profiling, coupled with knowledge gained from the study of the inherited syndromes that increase ACC risk, are beginning to bring together a picture of a tumor type dependent on p53, the G2/M cell cycle transition and IGF2 stimulation.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/19519204
was generated by: ECO_0000203

befree-20140225
imported on: 2014-02-25

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

disgenetrdf
version: v2.1.0