Empirical Bayesian models for analysing molecular serotyping microarrays |
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| Authors: | Richard Newton Jason Hinds Lorenz Wernisch |
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| Institution: | (1) MRC Biostatistics Unit, Robinson Way, Cambridge, CB2 0SR, UK;(2) Bacterial Microarray Group, Division of Clinical Sciences, St. George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK |
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| Abstract: | Background Microarrays offer great potential as a platform for molecular diagnostics, testing clinical samples for the presence of numerous
biomarkers in highly multiplexed assays. In this study applied to infectious diseases, data from a microarray designed for
molecular serotyping of Streptococcus pneumoniae was used, identifying the presence of any one of 91 known pneumococcal serotypes from DNA extracts. This microarray incorporated
oligonucleotide probes for all known capsular polysaccharide synthesis genes and required a statistical analysis of the microarray
intensity data to determine which serotype, or combination of serotypes, were present within a sample based on the combination
of genes detected. |
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