2017
DOI: 10.1007/s12686-017-0817-y
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Establishing detection thresholds for environmental DNA using receiver operator characteristic (ROC) curves

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Cited by 26 publications
(30 citation statements)
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“…Mismatches between eDNA and traditional sampling detections have similarly been reported elsewhere (Boothroyd, Mandrak, Fox, & Wilson, ; Serrao, ). This may be an example of a species occurrence that is below the limit of detection (Hunter et al, ; Serrao et al, in press), as only a single live mussel was found at the TTR site each of the three times it was sampled (2013; S. Reid, OMNRF, pers. comm.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Mismatches between eDNA and traditional sampling detections have similarly been reported elsewhere (Boothroyd, Mandrak, Fox, & Wilson, ; Serrao, ). This may be an example of a species occurrence that is below the limit of detection (Hunter et al, ; Serrao et al, in press), as only a single live mussel was found at the TTR site each of the three times it was sampled (2013; S. Reid, OMNRF, pers. comm.…”
Section: Discussionmentioning
confidence: 99%
“…Detection thresholds refer to the level of fluorescence above which the researcher is confident that the fluorescence is caused by target DNA presence rather than noise, and can be set at C q , an arbitrary value (e.g. > 1 copy), or using receiver operating characteristic (Nutz, Döll, & Karlovsky, ; Serrao, Wilson, & Reid, in press). For this study, LOD was approximated from validation assays, and detection thresholds were established by assessing false positive rates among negative controls.…”
Section: Methodsmentioning
confidence: 99%
“…The LOQ of the nPCR was lower than the detection limit of 1 9 10 -5 ng/lL reported by Clusa et al (2017), whereas Agersnap et al (2017) demonstrated a higher level of sensitivity (LOD and LOQ of one copy per lL of extracted sample) using qPCR than was recorded in this study. A LOD of less than one copy number per reaction has been reported in other studies using qPCR (Hunter et al 2017;Serrao et al 2017).…”
Section: Discussionmentioning
confidence: 54%
“…ROC analysis is a standard approach to identify a detection cut-off for a disease biomarker ( 125 ). In ROC analysis, the AUC can be calculated to evaluate the power of an assay system to accurately distinguish between true and false results for diseases, especially cancer ( 125 , 126 ).…”
Section: Discussionmentioning
confidence: 99%
“…ROC analysis is a standard approach to identify a detection cut-off for a disease biomarker ( 125 ). In ROC analysis, the AUC can be calculated to evaluate the power of an assay system to accurately distinguish between true and false results for diseases, especially cancer ( 125 , 126 ). As used by many researchers, the AUC scale was defined by Hosmer et al ( 127 ): if AUC=0.5, no discrimination; if 0.5<AUC<0.7, poor discrimination; if 0.7≤AUC<0.8, acceptable discrimination; if 0.8≤AUC<0.9, excellent discrimination; and if AUC≥0.9, discrimination is considered.…”
Section: Discussionmentioning
confidence: 99%