Diagnostic accuracy of a duplex real-time reverse transcription quantitative PCR assay for detection of African horse sickness virus
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Date
Authors
Guthrie, Alan John
MacLachlan, N.J. (James)
Joone, Christopher
Lourens, Carina W.
Weyer, Camilla Theresa
Quan, Melvyn
Monyai, Mpho S.
Gardner, Ian A.
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
Blood samples collected from 503 suspect cases of African horse sickness (AHS) and another 503 from
uninfected, unvaccinated South African horses, as well as 98 samples from horses from an AHS free country,
were tested with an AHS virus (AHSV) specific duplex real-time reverse transcription quantitative
PCR (RT-qPCR) assay and virus isolation (VI). The diagnostic sensitivity and specificity of this AHSV RTqPCR
assay and VI were estimated using a 2-test 2-population Bayesian latent class model which made
no assumptions about the true infection status of the tested animals and allowed for the possibility of
conditional dependence (correlation) in test results. Median diagnostic sensitivity and specificity of the
AHSV RT-qPCR were 97.8% and 99.9%, respectively. Median diagnostic specificity of virus isolation was
>99% whereas the estimated diagnostic sensitivity was 44.2%. The AHSV RT-qPCR assay provides for rapid,
high-throughput analysis of samples, and is both analytically and diagnostically sensitive and specific.
This assay is potentially highly useful for demonstrating freedom or infection of horses with AHSV, thus it
is appropriate that its reproducibility be evaluated in other laboratories as a global standard for detection
of AHSV.
Description
Keywords
Diagnostic sensitivity, Diagnostic specificity, RT-qPCR, AHSV, Standards for Reporting of Diagnostic Accuracy (STARD)
Sustainable Development Goals
Citation
Guthrie, AJ, MacLachlan, NJ, Joone, C, Lourens, CW, Weyer, CT, Melvyn Q, Monyai, MS & Gardner, IA 2013, 'Diagnostic accuracy of a duplex real-time reverse transcription quantitative PCR assay for detection of African horse sickness virus', Journal of Virological Methods, vol. 189, no. 1, pp. 30-35.