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The molecular epidemiology of infectious diseases uses a variety of techniques to assay the relatedness of disease-causing organisms to identify strains responsible for outbreaks or associated with particular phenotypes of interest (such as antibiotic resistance) and, it is hoped, provide insights into where and how these strains have emerged. The correct analysis of such data requires that we understand how the assayed variation accumulates. We discuss this with specific reference to three classes of methods: those based on gel electrophoresis of fragments generated by restriction enzymes or polymerase chain reaction (PCR), those based on microsatellites and other repeat elements, and raw sequence data from protein-coding genes. We also provide a simple example of how the likely origin of an apparently novel antibiotic-resistant strain may be identified and conclude with a discussion of some popular analysis packages and the more interesting prospects for the future in this rapidly developing field.

Original publication

DOI

10.1007/978-1-60327-999-4_20

Type

Journal article

Journal

Methods in molecular biology (Clifton, N.J.)

Publication Date

01/2009

Volume

551

Pages

287 - 304

Addresses

Department of Infectious Disease Epidemiology, Imperial College London, UK.

Keywords

Humans, Communicable Diseases, DNA, Cluster Analysis, Data Interpretation, Statistical, Sequence Analysis, Genetics, Microbial, Repetitive Sequences, Nucleic Acid, Polymorphism, Single Nucleotide, Software, Molecular Epidemiology