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- source_evidence_literature type ECO_0000212 NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_provenance.
- NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_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." NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_provenance.
- NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_assertion evidence source_evidence_literature NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_provenance.
- NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_assertion SIO_000772 23836555 NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_provenance.
- NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_assertion wasDerivedFrom befree-20150227 NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_provenance.
- NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_assertion wasGeneratedBy ECO_0000203 NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_provenance.
- befree-20150227 importedOn "2015-02-27" NP875029.RAW4etyoSYk0_smuY-ZwcXtyFJ3HPbeoa5_yXls_rApN0130_provenance.