The comparison of the software program Bonaparte with the Missing Persons/DVImodule. Dr.Ir. C.P. (Kees) van der Beek MBA Custodian Dutch DNA-database



Similar documents
Paternity Testing. Chapter 23

LRmix tutorial, version 4.1

Y Chromosome Markers

DNA for Defense Attorneys. Chapter 6

Probability and Evidence

Dealing with disasters with the Netherlands Forensic Institute. NFI Forensic response to disasters

DHS Rapid and Low-cost DNA Biometrics

Statistical Analysis for Genetic Epidemiology (S.A.G.E.) Version 6.2 Graphical User Interface (GUI) Manual

Guidelines for. Mass Fatality. DNA Identification. Operations

DNA-DATABASE MANAGEMENT REVIEW AND RECOMMENDATIONS. ENFSI DNA Working Group April 2012

DNA-DATABASE MANAGEMENT REVIEW AND RECOMMENDATIONS. ENFSI DNA Working Group April 2013

HLA data analysis in anthropology: basic theory and practice

Pedigree Based Analysis using FlexQTL TM software

DNA and Forensic Science

Name: Class: Date: ID: A

DNA as a Biometric. Biometric Consortium Conference 2011 Tampa, FL

Tests in a case control design including relatives

NATIONAL GENETICS REFERENCE LABORATORY (Manchester)

Package forensic. February 19, 2015

GENOMIC SELECTION: THE FUTURE OF MARKER ASSISTED SELECTION AND ANIMAL BREEDING

How to Register the Birth of a Child

Computer with GeneMapper ID (version or most current) software Microsoft Excel, Word Print2PDF software

PAUL JOHNSON CRIMINAL DISTRICT ATTORNEY 1450 E. MCKINNEY, STE 3100 P. 0. BOX 2344 DENTON, TEXAS HOT CHECKS

Basics of Marker Assisted Selection

DNA paternity and relationship testing services

DNA-DATABASE MANAGEMENT REVIEW AND RECOMMENDATIONS. ENFSI DNA Working Group April 2015

Complex Genetic Risk: The Implications for Insurance

Recovering the Romanovs

Likelihood Approaches for Trial Designs in Early Phase Oncology


PASS CLINICAL SOFTWARE FOR FAMILIAL HYPERCHOLESTEROLAEMIA (FH) EVALUATION REPORT INCLUDING 3 MONTH CLINICAL PILOT.

Fact Sheet 14 EPIGENETICS

GAW 15 Problem 3: Simulated Rheumatoid Arthritis Data Full Model and Simulation Parameters

The correct answer is c A. Answer a is incorrect. The white-eye gene must be recessive since heterozygous females have red eyes.

MAT 155. Key Concept. February 03, S4.1 2_3 Review & Preview; Basic Concepts of Probability. Review. Chapter 4 Probability

Innovation in CBRN Forensics, a Challenge. Ed van Zalen Program manager CBRN

Mitochondrial DNA Analysis

PRACTICE PROBLEMS - PEDIGREES AND PROBABILITIES

Population Genetics and Multifactorial Inheritance 2002

Lecture 6: Single nucleotide polymorphisms (SNPs) and Restriction Fragment Length Polymorphisms (RFLPs)

GENETICS OF HUMAN BLOOD TYPE

Deterministic computer simulations were performed to evaluate the effect of maternallytransmitted

Non-Custodial Parent Rights in South Carolina July 2010

The Chinese University of Hong Kong School of Life Sciences Biochemistry Program CUGEN Ltd.

European Network of Forensic Science Institutes DNA Working Group. Report on Criminal Cases in Europe solved by ILS (DNA Mass Testing)

Remarks. 7th International DNA Users' Conference For Investigative Officers. Ronald K. Noble. INTERPOL Secretary General.

Gene Mapping Techniques

ASSIsT: An Automatic SNP ScorIng Tool for in and out-breeding species Reference Manual

Chromosomes, Mapping, and the Meiosis Inheritance Connection

MAKING AN EVOLUTIONARY TREE

Biology 1406 Exam 4 Notes Cell Division and Genetics Ch. 8, 9

Globally, about 9.7% of cancers in men are prostate cancers, and the risk of developing the

Summary Genes and Variation Evolution as Genetic Change. Name Class Date

BAPS: Bayesian Analysis of Population Structure

Melissa May. NetBio - Vice President Strategic Planning. Date: 22/10/2013

Challenges of DNA Profiling in Mass Disaster Investigations

Commonly Used STR Markers

To new Moms and Dads help your baby get a step ahead in life!

Heritability: Twin Studies. Twin studies are often used to assess genetic effects on variation in a trait

Single Nucleotide Polymorphisms (SNPs)

Rules for conducting ISAG Comparison Tests (CT) for animal DNA testing.

Giulia Cereda. Mathematical Institute, Leiden University, Master thesis research project

A Comparison of Genotype Representations to Acquire Stock Trading Strategy Using Genetic Algorithms

Forensic Statistics. From the ground up. 15 th International Symposium on Human Identification

EXCEL-BASED TOOL FOR THE

HLA-Cw*0602 associates with a twofold higher prevalence. of positive streptococcal throat swab at the onset of

A trait is a variation of a particular character (e.g. color, height). Traits are passed from parents to offspring through genes.

Annex to the Accreditation Certificate D-PL according to DIN EN ISO/IEC 17025:2005

The Human Right to Food Introduction

The Haplotyping Problem: An Overview of Computational Models and Solutions

Gene Therapy and Genetic Counseling. Chapter 20

Data Science Center Eindhoven. Big Data: Challenges and Opportunities for Mathematicians. Alessandro Di Bucchianico

Keywords revenue management, yield management, genetic algorithm, airline reservation

BRCA1 & BRCA2 GeneHealth UK

FHF prosjekt :

CCR Biology - Chapter 7 Practice Test - Summer 2012

The following chapter is called "Preimplantation Genetic Diagnosis (PGD)".

MCB41: Second Midterm Spring 2009

CRIME SCENE INVESTIGATION THROUGH DNA TRACES USING BAYESIAN NETWORKS

Heredity. Sarah crosses a homozygous white flower and a homozygous purple flower. The cross results in all purple flowers.

The Making of the Fittest: Natural Selection in Humans

100+T. SmartWool Case Study 17.1% 95% 25,000. Optimize. Attract. Build CONVERSION OPTIMIZATION RESULTS SITUATION HOW WE DID IT

Written by Roberta Estes, Copyright

Practice Direction 14C Reports by the Adoption Agency or Local Authority

Genetics and Evolution: An ios Application to Supplement Introductory Courses in. Transmission and Evolutionary Genetics

Genetic relatedness analysis: modern data and new challenges

Transcription:

The comparison of the software program Bonaparte with the Missing Persons/DVImodule of CODIS 7 Dr.Ir. C.P. (Kees) van der Beek MBA Custodian Dutch DNA-database Linköping 24 april 2012

Content of the presentation Dutch missing persons DNA-database History of Bonaparte Properties of Bonaparte Comparison of Bonaparte with CODIS 7 Conclusions Use of CODIS 7 and Bonaparte in the Netherlands 2

Dutch missing persons DNA-database The Netherlands also uses CODIS as its missing persons DNA-database In CODIS 5.7.X only direct comparisons between missing persons and unidentified persons were possible Also comparisons between possible parents and children are possible (low stringency search) but in this way only comparisons with single parents are possible For more complex pedigrees other programs were used (Familias, DNAview) 3

History of Bonaparte (I) In 2008 the Dutch government asked the NFI if it was ready to deal with the DNA-based identification of the victims of a mass disaster The NFI knew that the FBI was developing CODIS 6/7 but did not know when it would be ready and if it would fulfil the requirements of the NFI Because governamental funding was available the NFI decided to develop its own missing persons/dvi program together with the University of Nijmegen To calculate LR s Bonaparte uses Baysian networks 4

Bayesian networks A Bayesian network is a probabilistic graphical model that represents a set of random variables and their conditional dependences Advantages of working with Bayesian networks: The analysis tool is transparent and flexible Allows to incorporate other factors that play a role such as the measurement of error probability, missing data, statistics of more advanced genetic markers, uncertain relationships, etc. 5

Bayesian networks Father Mother Paternal Father Maternal Father Paternal Mother Maternal Mother Paternal Child Maternal Child Child 6 W.Wiegerinck, W. Burgers 6

The Likelihood Ratio (LR) Assume child missing. Remains of UI found with genotype GUI Father f, mother m have genotype: Gf en Gm X X Hypothesis1: UI = child (MP) Hypothesis2: UI = unrelated person LR = P(Gf,Gm,GUI UI=child of f and m) P(Gf,Gm,GUI UI=unrelated person) 7

Bayesiannetworkof a pedigree Bonaparte calculates probabilities using automatically generated Bayesian networks 8 W.Wiegerinck, W. Burgers 8

History of Bonaparte (II) The program was named Bonaparte because Napoleon Bonaparte made last names obligatory in the Netherlands in 1811 When Bonaparte was ready in 2010, CODIS 6/7 was also ready and both programs proved to have many properties in common Right after the validation of Bonaparte a real case came along 9

Flight 8U 771 (Tripoli Crash) Crash of Afriqiyah Airways flight 771 103 fatalities (67 Dutch nationality) Largest previous case had about 20 victims. The identification process took several days. The Tripoli case has about 100 victims (about 10,000 matches). Bonaparte calculates all matches in several minutes. 10 W.Wiegerinck, W. Burgers 10

11 Lay-out Bonaparte

Stackpanel with all Individuals in current project. family member without DNA profile Missing person Probabilities denoting confidence in parent-child relations. family member with DNA profile Pedigree Editor 12

Import of DNA-profiles Excel XML-files (CODIS / Genemapper) F-alleles and allelic-dropouts are allowed 13

LR and 10log(LR) Match Results Global list of matches Number of mutations in pedigree: ΔMut= mutations due to UI Min Mut = mutations inherent in pedigree Mut= Min Mut+ ΔMut 14

Bonaparte - Report + Match parameters + total LR + DNA-profiles + Pedigree picture + LR per locus + Information about mutations/exclusions 15

CODIS Bonaparte comparison (I) Because the NFI did not want to use two programs for the same purpose it decided to compare both programs A student was trained to use both programs and was given the task to compare the different functionalities of both programs Both programs were provided with the same allele frequencies to be able to compare the Likelihood Ratio s calculated by both programs Overall both programs performed well and gave similar results in simple pedigrees without mutations 16

CODIS Bonaparte comparison (II) In spite of this the NFI presently prefers Bonaparte because it has several properties which are of special importance to the NFI: The calculations are transparent,have been validated manually and have been published (Dutch accreditation requirement) Baysian networks can easily and quickly handle complex pedigrees with multiple missing persons The mutation model will also detect unnoticed allelic drop-outs Bonaparte can handle incestuous pedigrees and pedigrees with loops Bonaparte shows Likelihood Ratio s and the presence of mutations per locus 17

Intended Dutch Missing Persons Setup CODIS will be used as the primary DNA-database for the safe storage of DNA-profiles of unidentified and missing persons and their family members Direct comparisons of missing persons and unidentified persons will still be done in CODIS using the Identity Searcher module CODIS will be used to generate export files for the DNAgateway of Interpol For pedigree searches DNA-profiles are exported from CODIS and imported in Bonaparte to find possible matches with family members. Pedigrees are generated automatically in Bonaparte based on the information exported from CODIS 18

Familial Searching in the Netherlands As of April 1, 2012 is allowed in the Netherlands Both the Missing Persons/DVI-module of CODIS 7 and Bonaparte have been used to find possible parents, children and sibblings in the first Dutch familial searching case The candidates found by both programs are presently analyzed to see if the same candidates have been selected and if their LR-ranking is the same 19