http://rdf.disgenet.org/resource/nanopub/NP520520.RAY-zY1s_B775nw97dm6gjUhxAEbIkroSdfPRcfck5UY4
type: Nanopublication
created: 2016-05-13T12:45:40+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/NP520520.RAY-zY1s_B775nw97dm6gjUhxAEbIkroSdfPRcfck5UY4130_assertion
type: Assertion
description: [Our analysis shows that testing of 4153delA, 5382insC, C61G BRCA1 mutations should be extremely effective and inexpensive tool in testing Lithuanian population aimed to identify individuals with high risk of breast and ovarian cancers.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/16261409
was generated by: ECO_0000203

befree-2016
imported on: 2016-02-19

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

disgenetv3.0rdf
version: v4.0.0