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DNA Methods to Identify Missing Persons

  • Edna Sadayo Miazato Iwamura
  • , Marco Aurelio Guimaraes
  • , Martin Evison

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

    4 Citations (Scopus)

    Abstract

    Human identification by DNA analysis in missing person cases typically involves comparison of two categories of sample: a reference sample, which could be obtained from intimate items of the person in question or from family members, and the questioned sample from the unknown person-usually derived from the bones, teeth, or soft tissues of human remains. Exceptions include the analysis of archived tissues, such as those held by hospital pathology departments, and the analysis of samples relating to missing, but living persons. DNA is extracted from the questioned and reference samples and well-characterized regions of the genetic code are amplified from each source using the Polymerase Chain Reaction (PCR), which generates sufficient copies of the target region for visualization and comparison of the genetic sequences obtained from each sample. If the DNA sequences of the questioned and reference samples differ, this is normally sufficient for the questioned DNA to be excluded as having come from the same source. If the sequences are identical, statistical analysis is necessary to determine the probability that the match is a consequence of the questioned sequence coming from the same individual who provided the reference sample or from a randomly occurring individual in the general population. Match probabilities that are currently achievable are frequently greater than 1 in 1 billion, allowing identity to be assigned with considerable confidence in many cases.
    Original languageEnglish
    Title of host publicationHandbook of Missing Persons
    EditorsStephen J Morewitz, Caroline Sturdy Colls
    Place of PublicationCham, Switzerland
    PublisherSpringer
    Pages337-352
    Edition1
    ISBN (Print)9783319401973, 9783319401997
    DOIs
    Publication statusPublished - 2016

    Keywords

    • Genetics

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