http://rdf.disgenet.org/resource/nanopub/NP587852.RAHAeYmfav1gVkL_t8_b46JVqEygiivWTALqKxImJfjjU
type: Nanopublication
created: 2016-05-13T12:46:11+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/NP587852.RAHAeYmfav1gVkL_t8_b46JVqEygiivWTALqKxImJfjjU130_assertion
type: Assertion
description: [Support for these hypotheses came from the observations that (i) two SNPs in TTK and PTTG1 were associated with breast cancer risk; (ii) haplotype and haplotype combination analyses in TTK, BUB1B and PTTG1 revealed a strong association with breast cancer risk; (iii) a trend to an increased risk of breast cancer was found in women harboring a greater number of putative high-risk genotypes/haplotypes of mitotic checkpoint genes and (iv) a significant interaction between high-risk genotypes/haplotypes and reproductive risk factors in determining breast cancer risk was defined.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/17210994
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