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dc.contributor.authorAndersen, MM
dc.contributor.authorBalding, DJ
dc.date.accessioned2020-12-09T23:29:26Z
dc.date.available2020-12-09T23:29:26Z
dc.date.issued2018-11-01
dc.identifierpii: PGENETICS-D-18-01602
dc.identifier.citationAndersen, M. M. & Balding, D. J. (2018). How many individuals share a mitochondrial genome?. PLOS GENETICS, 14 (11), https://doi.org/10.1371/journal.pgen.1007774.
dc.identifier.issn1553-7404
dc.identifier.urihttp://hdl.handle.net/11343/253239
dc.description.abstractMitochondrial DNA (mtDNA) is useful to assist with identification of the source of a biological sample, or to confirm matrilineal relatedness. Although the autosomal genome is much larger, mtDNA has an advantage for forensic applications of multiple copy number per cell, allowing better recovery of sequence information from degraded samples. In addition, biological samples such as fingernails, old bones, teeth and hair have mtDNA but little or no autosomal DNA. The relatively low mutation rate of the mitochondrial genome (mitogenome) means that there can be large sets of matrilineal-related individuals sharing a common mitogenome. Here we present the mitolina simulation software that we use to describe the distribution of the number of mitogenomes in a population that match a given mitogenome, and investigate its dependence on population size and growth rate, and on a database count of the mitogenome. Further, we report on the distribution of the number of meioses separating pairs of individuals with matching mitogenome. Our results have important implications for assessing the weight of mtDNA profile evidence in forensic science, but mtDNA analysis has many non-human applications, for example in tracking the source of ivory. Our methods and software can also be used for simulations to help validate models of population history in human or non-human populations.
dc.languageEnglish
dc.publisherPUBLIC LIBRARY SCIENCE
dc.titleHow many individuals share a mitochondrial genome?
dc.typeJournal Article
dc.identifier.doi10.1371/journal.pgen.1007774
melbourne.affiliation.departmentSchool of Mathematics and Statistics
melbourne.source.titlePLoS Genetics
melbourne.source.volume14
melbourne.source.issue11
dc.rights.licenseCC BY
melbourne.elementsid1355495
melbourne.contributor.authorBalding, David
dc.identifier.eissn1553-7404
melbourne.accessrightsOpen Access


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