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- source_evidence_literature type ECO_0000212 NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_provenance.
- NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_assertion description "[Identifying TAP polymorphisms may potentially be used to identify women less susceptible to progression to high-grade CIN and cervical cancer.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_provenance.
- NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_assertion evidence source_evidence_literature NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_provenance.
- NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_assertion SIO_000772 19188174 NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_provenance.
- NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_assertion wasDerivedFrom befree-2016 NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_provenance.
- NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_assertion wasGeneratedBy ECO_0000203 NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_provenance.
- befree-2016 importedOn "2016-02-19" NP718124.RA4k-arjYkEDSwLUPnuI97Wyvvp2UhY7NCOqj-5lhG7c4130_provenance.