Forensic DNA evidence interpretation

著者

    • Buckleton, John S.
    • Triggs, Christopher M.
    • Walsh, Simon J.

書誌事項

Forensic DNA evidence interpretation

edited by John Buckleton, Christopher M. Triggs, Simon J. Walsh

CRC Press, c2005

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注記

Includes bibliographical references (p. 479-525) and index

内容説明・目次

内容説明

Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis, including modern interpretation methods and issues, and contemporary population genetic models available for estimating DNA frequencies or likelihood ratios. Following a chapter on procedures for validating databases, the text presents overviews and performance assessments of both modern sampling uncertainty methods and current paternity testing techniques. Later chapters discuss the latest methods for mixture analysis, LCN (ultra trace) analysis, and non-autosomal (mito, X, and Y) DNA analysis. The text concludes with procedures for disaster victim identification and information on DNA intelligence databases. Supported by numerous tables and over 800 references, this authoritative book provides a link among the biological, forensic, and interpretative domains of the DNA profiling field. It is a valuable resource that allows forensic scientists and technicians, molecular biologists, and attorneys to use forensic DNA evidence to its greatest potential.

目次

Biological Basis for DNA Evidence, Peter Gill and John Buckleton Historical and Background Biology Understanding PCR Profiles A Framework for Interpreting Evidence, John Buckleton The Frequentist Approach The Logical Approach The Full Bayesian Approach A Possible Solution A Comparison of the Different Approaches Population Genetic Models, John Buckleton Product Rule Simulation Testing Discussion of the Product Rule and the Subpopulation Model A Complex Case Example - DNA Evidence and Orethral James Simpson Relatedness, John Buckleton and Christopher Triggs Conditional Probabilities Joint Probabilities The Unifying Formula The Effect of Linkage Validating Databases, John Buckleton Which Is the Relevant Population? Population Databases Validating the Population Genetic Model Estimating Q Descriptive Statistics for Databases Sampling Effects, John Buckleton and James Curran Bounds and a Level Methods for Assessing Sampling Uncertainty Minimum Allele Probabilities Discussion of the Appropriateness of Sampling Uncertainty Estimates Mixtures, Tim Clayton and John Buckleton Frequentist Approaches Bayesian Approaches Statistical Evaluation of Mixtures Low Copy Number, John Buckleton and Peter Gill Changes in LCN Profile Morphology The Interpretation of LCN Profiles Non-autosomal Forensic Markers, Simon Walsh, SallyAnn Harbison, and John Buckleton Forensic Mitochondrial DNA Typing Forensic Y Chromosome Analysis Forensic X Chromosome Analysis A Famous Case Example - The Romanovs Parentage Testing, John Buckleton, Tim Clayton, and Chris Triggs Evaluation Of Evidence Paternity Trios: Mother, Child and Alleged Father Non-autosomal DNA Use of the Sub-Population Model of Balding and Nichols to Evaluate the Paternity Index Relatedness in Paternity Cases Multiple Children Inconsistencies in the Mendelian Pattern 'Exclusions' Paternity Trios: Mother, Child and Alleged Father Considering the Possibility of Silent (Null) Alleles Disaster Victim Identification, Identification of Missing Persons, and Immigration Cases, John Buckleton, Chris Triggs, and Tim Clayton Mitochondrial or Nuclear DNA? Human Remains - Obtaining a Profile from Bodily Remains Extraction of DNA from Bone, Tooth, Hair and Nail Complicating Factors DNA Intelligence Databases, Simon Walsh and John Buckleton A Brief History Functional Aspects Legislation Aspects of Forensic Significance Social and ethical considerations Interpretation Issues Associated with DNA Databases

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