dgn-np:NP982646.RA1lWXYw7J9Me4vK59QUudOgbwvQyigy7l2NMziR8IAr0130_provenance {
  dgn-np:NP982646.RA1lWXYw7J9Me4vK59QUudOgbwvQyigy7l2NMziR8IAr0130_assertion dcterms:description "[Among 6,424 Chinese offspring, 1,065 (16.6%) were classified as having 'definite asthma,' 820 (12.8%) as 'probable asthma,' 1,996 (31.1%) as 'unclassifiable obstructive airway disease,' 228 (3.5%) as 'COPD,' and 2,315 (36%) as 'unaffected.' The use of the algorithm proposed by Panhuysen and coworkers in a Chinese population with a high prevalence of smoking would result in the exclusion of subjects with asthma who smoke or who have severe airflow obstruction from linkage analysis, as well as in an inability to explore any potential interactions between genetic factors and cigarette smoking in the pathogenesis of asthma.]. 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:11069796 ;
    prov:wasDerivedFrom dgn-void:befree-20150227 ;
    prov:wasGeneratedBy eco:ECO_0000203 .
  dgn-void:befree-20150227 pav:importedOn "2015-02-27"^^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 .
}