http://rdf.disgenet.org/resource/nanopub/NP844836.RAozXpp6aCHTm_FH4IBS9yNhbD3mkTq6AJ9e4upXpYDWo
type: Nanopublication
created: 2016-05-13T12:48:07+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/NP844836.RAozXpp6aCHTm_FH4IBS9yNhbD3mkTq6AJ9e4upXpYDWo130_assertion
type: Assertion
description: [In a marker-by-marker analysis, 7 (TEP1, TNKS, and ACD), 11 (TEP1, ACD, and TERT), and 24 (TEP1, TNKS, TERT, TERF2IP, TNKS2, and UCP2) SNPs were associated-at the level of p < 0.05-with the total CVD, MI, and ischemic stroke risk, respectively.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/20937264
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