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- source_evidence_literature type ECO_0000212 NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_provenance.
- NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_assertion description "[We also show that VAAST 2.0 outperforms KBAC, WSS, SKAT, and variable threshold (VT) using published case-control datasets for Crohn disease (NOD2), hypertriglyceridemia (LPL), and breast cancer (CHEK2).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_provenance.
- NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_assertion evidence source_evidence_literature NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_provenance.
- NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_assertion SIO_000772 23836555 NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_provenance.
- NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_assertion wasDerivedFrom befree-2016 NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_provenance.
- NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_assertion wasGeneratedBy ECO_0000203 NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_provenance.
- befree-2016 importedOn "2016-02-19" NP1092323.RA1LoMIH_PboEZKv_nmUTCrcA8RpNxauAewD0nbqCXFQo130_provenance.