@prefix this: . @prefix rdfs: . @prefix xsd: . @prefix sio: . @prefix ncit: . @prefix lld: . @prefix miriam-gene: . @prefix miriam-pubmed: . @prefix eco: . @prefix wi: . @prefix prov: . @prefix pav: . @prefix prv: . @prefix dcterms: . @prefix np: . @prefix dgn-np: . @prefix dgn-gda: . @prefix dgn-void: . dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_head { this: np:hasAssertion dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_assertion; np:hasProvenance dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_provenance; np:hasPublicationInfo dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_publicationInfo; a np:Nanopublication . dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_assertion a np:Assertion . dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_provenance a np:Provenance . dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_publicationInfo a np:PublicationInfo . } dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_assertion { miriam-gene:1586 a ncit:C16612 . lld:C0006142 a ncit:C7057 . dgn-gda:DGNee4d6d20876397010ee440a16e1d4bb7 sio:SIO_000628 miriam-gene:1586, lld:C0006142; a sio:SIO_001121 . } dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_provenance { dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_assertion dcterms:description "[In order to do so we (1) develop a cohort approach towards odds ratio analysis by expanding the E-M algorithm to provide maximum likelihood estimates of haplotype-specific odds ratios as well as genotype frequencies; (2) show how to correct the cohort approach, to give essentially unbiased estimates for population-based or nested case-control studies by incorporating the probability of selection as a case or control into the likelihood, based on a simplified model of case and control selection, and (3) finally, in an example data set (CYP17 and breast cancer, from the Multiethnic Cohort Study) we compare likelihood-based confidence interval estimates from the two methods with each other, and with the use of the single-imputation approach of Zaykin et al.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en; wi:evidence dgn-void:source_evidence_literature; sio:SIO_000772 miriam-pubmed:14566096; prov:wasDerivedFrom dgn-void:befree-2016; prov:wasGeneratedBy eco:ECO_0000203 . dgn-void:befree-2016 pav:importedOn "2016-02-19"^^xsd:date . dgn-void:source_evidence_literature a eco:ECO_0000212; rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en; rdfs:label "DisGeNET evidence - LITERATURE"@en . } dgn-np:NP417357.RAxZqWrg2PuGFO_xpEzTik-JLMnI170C0cdjPPKl8nsJs130_publicationInfo { this: dcterms:created "2016-05-13T12:44:54+02:00"^^xsd:dateTime; dcterms:rights ; dcterms:rightsHolder dgn-void:IBIGroup; dcterms:subject sio:SIO_000983; prv:usedData dgn-void:disgenetv3.0rdf; pav:authoredBy , , , , ; pav:createdBy ; pav:version "v4.0.0.0" . dgn-void:disgenetv3.0rdf pav:version "v4.0.0" . }