http://rdf.disgenet.org/resource/nanopub/NP78503.RA9b2bFi6WPaXmuQ-cD2WqtaXuVM5k_khi_VdkYf9Tts0
type: Nanopublication
created: 2016-05-13T12:42:23+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/NP78503.RA9b2bFi6WPaXmuQ-cD2WqtaXuVM5k_khi_VdkYf9Tts0130_assertion
type: Assertion
description: [Most of the variants in the candidate breast cancer genes evaluated in this study are not strong predictors of breast density. However, our findings of differences in associations for UGT1A1 and AIB1 genotypes with breast density by menopausal status need]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/12602902
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