Lecture 9_Part 4
CODIS Overview
Definition: CODIS stands for the Combined DNA Index System.
Purpose: It is the core of the national DNA database, established and funded by the Federal Bureau of Investigation (FBI).
Functionality: Designed to enable public forensic DNA laboratories to create searchable DNA databases of authorized DNA samples or profiles.
Global Reach: Allows laboratories throughout the U.S. and parts of the world to share and compare DNA data.
Central Database:
Maintains a database of DNA profiles from all user laboratories.
Conducts weekly searches of the DNA profiles in the national database, known as the National DNA Index System (NDIS).
Matches resulting from searches are automatically returned to the laboratories that submitted the profiles.
Misuse of CODIS Terminology
Common Misuse: The term CODIS is often misused by law enforcement, prosecutors, and forensic practitioners when referring to a DNA database in general.
Database Levels: The CODIS index system has three levels of operation.
Misunderstanding can arise when "DNA database" is used without specific reference to the level.
Some profiles allowed in a state's database may not be permitted in the national database.
CODIS Lab Misnomer: Referring to a state laboratory as a "CODIS lab" is a misnomer as CODIS includes various profiles, not just those from convicted offenders.
CODIS Functionalities
Profile Requirements: Requires either:
Greater than four RFLP markers, or
13 core STR markers (now increased to 20).
Core STR Loci:
Original 13 core loci defined with their chromosomal positions.
The 13 core loci include amelogenin for sex discrimination.
Standardization Project:
The CODIS STR standardization project developed kits primarily, AmpFlSTR and PowerPlex, to include core loci and amelogenin.
Collaboration with the forensic science community allowed for beta testing and feedback, benefiting technology development.
CODIS Software Development
Initial Creation: CODIS software was created in 1990 as a pilot project by the FBI.
Early focus was on analysis and storage of RFLP profiles.
Evolution: With advancements in forensic DNA and computer technologies, software was upgraded to address the needs of forensic science.
Current Software: The current CODIS software mainly stores and searches STR profiles.
A separate version exists for mitochondrial DNA profiles.
Case Examples
Example Case: In 1998, the Fort Worth crime lab linked a man in Abilene to five offenses after a cold hit through CODIS.
Two females aged ten and eleven had been assaulted; their evidence was used in the case.
DNA Profiles in CODIS
Profiles Included:
Profiles from violent felons, crime scene samples, and convicted offenders.
Global Variances: Laws vary by state and country regarding who is eligible for database entry.
Current estimates indicate about 2,500,000 profiles in the database.
Effectiveness: CODIS is a powerful tool for linking crimes and generating investigative leads with cold hits.
Challenges and Ethical Concerns
Issues with DNA Mixtures: DNA mixtures and degraded profiles can lead to false matches; require careful examination.
Ethical Concerns:
Database inclusion laws concerning innocent individuals raise ethical considerations.
The presumption of innocence is called into question for arrestees.
Prosecution Rates: The rate of successful prosecutions based on DNA matches is around 10%, which challenges the perceived effectiveness of the system.
DNA Analysis Technology
Key Equipment: Applied Biosystems 310 Genetic Analyzer is a central device in DNA profiling.
Features: Robotic control, sample cleaning, and efficient processing capabilities.
Data Output: DNA test results can be obtained quickly with high accuracy.
Typical probability for a random match can be one in three trillion.
Outcomes of DNA Testing
Possible Outcomes:
No match (exclusion)
Inconclusive result (data insufficient to conclude)
Match (statistical interpretation necessary)
Statistical Interpretations: Different statistics are debated for understanding the probability of profiles matching.
Hardy-Weinberg Theorem
Basis: Utilized to predict genotype frequencies under conditions of random mating.
Genotype probability computed via the product of parental allele frequencies.
Example: Given frequency values for alleles A1: 0.3, A2: 0.5, A3: 0.2:
Probability for homozygous A1A1 =
Probability for A2A3 =
DNA Profile Match Probability
Calculation Example: The matching probability when using 13 CODIS markers and specific allele frequencies.
For alleles with frequencies of 0.9 (4 occurrences) and 0.2 (9 occurrences):
Match probability becomes resulting in approximately one in 29 billion.
Inbreeding Adjustments: Inbreeding coefficients can complicate calculations, affecting match probabilities.
The typical inbreeding coefficient is less than 0.05 in most human populations.
Population Genetics Data
D13 Allele Frequency: Variation across ethnicities is demonstrated through allele frequency data.
Different repeat lengths have distinct frequencies.
Conclusion
Frequency Calculation Process: DNA profile frequencies calculated based on population samples to determine the likelihood of matches.
Minimum allele thresholds are enforced to ensure valid samples are used in analysis.
Performance of CODIS: Statistics from the national DNA database indicate the effectiveness in resolving cases.
As of 2017, there were over 52,546 hits with various crimes being investigated, showcasing CODIS as a critical tool in forensic science.