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Design issues in cross-sectional biomarkers studies: urinary biomarkers of PAH exposure and oxidative stress

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dc.contributor.authorKang, D.-
dc.contributor.authorLee, K. H.-
dc.contributor.authorLee, K. M.-
dc.contributor.authorKwon, H. J.-
dc.contributor.authorHong, Y. C.-
dc.contributor.authorCho, S. H.-
dc.contributor.authorStrickland, P. T.-
dc.date.accessioned2010-01-28T01:37:03Z-
dc.date.available2010-01-28T01:37:03Z-
dc.date.issued2005-08-17-
dc.identifier.citationMutat Res. 2005 Dec 30;592(1-2):138-46. Epub 2005 Aug 15.en
dc.identifier.issn0027-5107 (Print)-
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16102785-
dc.identifier.urihttps://hdl.handle.net/10371/45979-
dc.description.abstractCross-sectional biomarker studies can provide a snapshot of the frequency and characteristics of exposure/disease in a population at a particular point in time and, as a result, valuable insights for delineating the multi-step association between exposure and disease occurrence. Three major issues should be considered when designing biomarker studies: selection of appropriate biomarkers, the assay (laboratory validity), and the population validity of the selected biomarkers. Factors related to biomarker selection include biological relevance, specificity, sensitivity, biological half-life, stability, and so on. The assay attributes include limit of detection, reproducibility/reliability, inter-laboratory variation, specificity, time, and cost. Factors related to the population validity include the frequency or prevalence of markers, greater inter-individual variation than intra-individual variation, intra-class correlation coefficients (ICC), association with potential confounders, invasiveness of specimen collection, and subject selection. Three studies are selected to demonstrate different features of cross-sectional biomarker studies: (1) characterizing the determinants of the biomarkers (study I: urinary PAH metabolites and environmental particulate exposure), (2) relationship of multiple biomarkers of exposure and effect (study II: relationship between urinary PAH metabolites and oxidative stress), and (3) evaluating gene-environmental interaction (study III: effect of genetic polymorphisms of GSTM1 on the association of green tea consumption and urinary 1-OHPG levels in shipbuilding workers).en
dc.language.isoenen
dc.subjectAnticarcinogenic Agentsen
dc.subjectBiological Markers/*urineen
dc.subjectCross-Sectional Studiesen
dc.subject*DNA Damageen
dc.subjectGenetic Predisposition to Diseaseen
dc.subjectHumansen
dc.subject*Oxidative Stressen
dc.subjectPolycyclic Hydrocarbons, Aromatic/adverse effects/*toxicityen
dc.subjectReproducibility of Resultsen
dc.subjectResearch Designen
dc.subjectTeaen
dc.titleDesign issues in cross-sectional biomarkers studies: urinary biomarkers of PAH exposure and oxidative stressen
dc.typeArticleen
dc.contributor.AlternativeAuthor강대희-
dc.contributor.AlternativeAuthor이경호-
dc.contributor.AlternativeAuthor이경무-
dc.contributor.AlternativeAuthor권호장-
dc.contributor.AlternativeAuthor홍윤철-
dc.contributor.AlternativeAuthor조수헌-
dc.identifier.doi10.1016/j.mrfmmm.2005.06.009-
Appears in Collections:
College of Medicine/School of Medicine (의과대학/대학원)Preventive Medicine (예방의학전공)Journal Papers (저널논문_예방의학전공)
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