http://rdf.disgenet.org/resource/nanopub/NP183317.RAQJCwHKvFDRIuDPTmGHKDFQ7p7NZV5m8wRWHfX1_Ejlc
type: Nanopublication
created: 2016-05-13T12:43:10+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: v4.0.0.0

http://rdf.disgenet.org/resource/nanopub/NP183317.RAQJCwHKvFDRIuDPTmGHKDFQ7p7NZV5m8wRWHfX1_Ejlc130_assertion
type: Assertion
description: [Despite the small sample size, this novel analysis method identified an sMRI component including brain areas previously reported to be abnormal in schizophrenia and an associated genetic component containing several putative schizophrenia risk genes. Thus]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/20691427
was generated by: ECO_0000203

gad-20150221
imported on: 2015-02-21

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

disgenetv3.0rdf
version: v4.0.0