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DNA Technology in Human Identification

DNA Technology in Human Identification. Dr. Philip Beh Dr. G. Srivastava. Outline. Identification Classification Individualisation Methods of Identification Development of Forensic DNA Forensic issues Interpretation of results Future. Identification. Classify – Eg. Human or not?

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DNA Technology in Human Identification

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  1. DNA Technology in Human Identification Dr. Philip Beh Dr. G. Srivastava

  2. Outline • Identification • Classification • Individualisation • Methods of Identification • Development of Forensic DNA • Forensic issues • Interpretation of results • Future

  3. Identification • Classify – Eg. Human or not? • Human – Sex? Race? Age? • Identification – Nationality? • Identification – Locality? • Identification – Identity (Individualisation!)

  4. Human Identification How do we identify an individual? The human brain associates a name with an individual using a variety of information including physical appearance, mannerisms, voice and speech, etc.

  5. Visual Identification • Despite the complexity and accuracy of visual identification of an individual, it is well known that mistakes are common and in some circumstances unreliable and difficult.

  6. Unreliable visual ID • Time factors – aging, etc. • Psychological and emotional factors – poor recall • Lighting – inadequate or problematic lighting • Physical changes especially in forensic work.

  7. Individualisation • One and only • No other copy except for a genetic twin.

  8. Other physical attributes • Ear-shapes • Lip prints • Retinal scans • Voice patterns (?) • Handwriting (under scrutiny!)

  9. Other means of individualisation • Blood • Blood groups • HLA typing • DNA • DNA Fingerprinting • DNA Typing

  10. Development of DNA Fingerprinting • 1985, Sir Alec Jeffries, described variable number tandem repeats (VNTR`s) and developed the technique restriction fragment length polymorphisms (RFLP) • Briefly, it used restriction enzymes to cut the regions of the DNA surrounding the VNTR’s.

  11. History • First use in casework in the U.K. in 1985. • First commercial labs in the U.S. in 1986 • Used by the FBI in the U.S. in 1988. • Used in Hong Kong in early 90’s. • DNA-PCR technology used in Hong Kong in 1997.

  12. Uniqueness • Except for identical twins the DNA of an individual is unique. • The number of different chromosomes that a child receives from parents are 246

  13. Requirements for forensic casework • Reliability of technique • Reproducible results • No laboratory error • Security of test samples and results

  14. DNA Polymorphisms • Sequence polymorphism ….AGACTAGACATT….. ….AGATTAGGCATT….. Length polymorphism ….AATGAATGAATG…. ….AATGAATG…..

  15. RFLP • Restriction fragment length polymorphism • A restriction enzyme is used to cut the DNA into fragments at specific points • These fragments of different lengths are separated by an electric current. The fragments of interest are then radiolabelled by hybridisation.

  16. RFLP • Many RFLP systems are based on change in a single nucleotide. They are said to be diallelic • Thus only two common alternative forms and three phenotypes, two homozygous and one heterozygous.

  17. PCR Based Systems • Length Polymorphisms • STR kits - Short Tandem Repeats • Sequence Polymorphisms • PolyMarkers eg. DQ-alpha/A1 (HLA - DNA) • Mitochondrial DNA • Automated systems now available.

  18. STR • Short-tandem repeats • Higher incidence of homozygotes, since the system is less polymorphic • Several loci can be amplified • Increase discriminating power with use of multiple probes.

  19. Length Polymorphisms • PCR used to amplify this. • Much simpler than RFLP analysis because the DNA of interest already amplified. • Bands stained directly • Trend towards fluorescent detection and automated analysis.

  20. Forensic use of DNA technologies • Identification of small quantities of biological samples found, e.g. blood stains, semen, saliva stains, etc. • Differentiation between origins of samples found. • Linking and/or grouping of unknown sample.

  21. Sources of DNA

  22. Obstacles in forensic casework • Small quantity of samples to work with. • Contamination of samples. • Poor preservation of material from which DNA is to be extracted. Eg. Contaminated stains, decomposition of tissues.

  23. Complicating factors and forensic challenges • Multiple contributors (sources) – mixed sample. • Differential extraction • Degradation • Contamination • Inhibition of enzymes • Non-human DNA

  24. DNA Extraction methods employed

  25. Reverse Dot Process

  26. Commonly used markers

  27. CODIS • Combined DNA Index System • 1990 as a pilot project at the FBI Laboratory. • Now in more than 100 public laboratories

  28. Quality and standards • DNA Advisory Board • Quality assurance standards • Laboratory Validation • American Society of Crime Lab Directors Laboratory Accreditation Board • European DNA Profiling Group • Interpol European Working Party on DNA Profiling

  29. Controls • Monitoring for False Negatives • False negatives arises from inhibitors. • Safeguard against false negatives • Positive controls – similar physiochemical properties and contains known DNA.

  30. Controls • Monitoring for False Positives • False positives generally arises from contamination. • Safeguards against false positives • A negative control – undergoes the whole procedure, similar physiochemical properties except for genetic property. • A blind control – undergoes all extraction, purification and amplification procedures, except that it does not contain any sample material. • A no-template control – serves only for the amplification reagents and conditions. It contains every amplification reagents except DNA

  31. Significance of results • Three possible conclusions:- • 1. Exclusion – they are different. • 2. Inconclusive • 3. Similar

  32. Similarity • Three possible scenarios:- • 1. Sample from a common source • 2. Coincidence • 3. Accident (Error)

  33. Frequency Estimate Calculations • Hardy-Weinberg equilibrium • There is a predictable relationship between allele frequencies and genotype frequencies at a single locus. This is a mathematical relationship that allows for the estimation of genotype frequencies even if the genotype has not been seen in an actual population survey.

  34. Frequency Estimate Calculations • Linkage equilibrium • Defined as the steady-state condition of a population where the frequency of any multi-locus genotypic frequency is the product of each separate locus. This allows for the estimation of a DNA profile over several loci, even if the profile has not been seen in an actual population survey.

  35. DNA evidence in Court • This posed a problem due to a hosts of poorly researched and performed work and estimate calculations. • It is now quite widely accepted and increasingly the frequencies are individualising e.g. 1 in several billions!!

  36. Population Data • Population data is required to obtain the various frequencies of occurences. • Systems used require careful validation prior to use and also require internal and external controls for each test.

  37. Future - Now • Automation • DNA databases • Variant Repeats – approaches individualisation with just one or two loci • More loci and marker systems • SNP’s • Quality control will continue to be an area of contention. • More applications and more probes • Faster automation, etc

  38. DNA Databases • Privacy issues • Quality control of data • Convicted samples vs. forensic case work samples

  39. Ancient DNA • Made possible by the availability of PCR • The term ancient DNA now covers any bulk or trace DNA from a dead organism or parts of it, as well as extracorporeally encountered DNA of a living organism. • Therefore any DNA that has undergone autolytic or diagenetic processes or fixation is considered “aDNA”

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