WORKSHOP 1 | GHEP-OS Autumn 2024
Program | Prices | Register | General Information
WS1 | Kinship and pedigree analysis: Methods and applications
Magnus D. Vigeland & Thore Egeland
DATES & SCHEDULES
October 7, 14, 21 and 28, 2024 (Mondays). 16h-20h (CET).
INTENDED AUDIENCE
Forensic case workers, researchers and students
LEARNING OUTCOME
- Classical concepts and methods of genetic relatedness
- Using Familias software to perform kinship testing
- Using simulations to explore distributions of realised relatedness
- Methods for pedigree reconstruction
- Practical methods for disaster victim identification
SOFTWARE TOOLS
All participants should have a laptop with recent versions of the following software:
- Familias (https://familias.no/download)
- R (https://cloud.r-project.org)
- RStudio (https://posit.co/download/rstudio-desktop)
MAXIMUM NUMBER OF PARTICIPANTS
50
WORKSHOP SUMMARY
The study of kinship and genetic relatedness is central in forensic genetics. The aim of this course is to introduce the elegant statistical foundations of pedigree analysis, as well as several forensic applications. Various softwares will be introduced, including Familias, R/pedsuite and QuickPed.
Each session will alternate between lectures and hands-on exercises, so that the first half is more theoretical and the second half more practical. Solutions for all exercises will be provided and discussed at the end of each session.
DETAILED PROGRAM
Day 1:
1. Introduction to pedigree analysis
2. Measures of relatedness
Day 2:
3. Introduction to forensic kinship testing
4. Kinship testing with Familias
Day 3:
5. Realised relatedness: Why are some siblings more alike than others?
6. Pedigree reconstruction
Day 4:
7. DNA-based disaster victim identification (DVI)
8. Practical DVI with the Diviana software.
PLATFORM
Zoom (https://zoom.us/). Links will be sent to confirmed participants by email, at least 24h before the sessions.
We inform you that each of these sessions will be recorded.
LANGUAGE
English. Transcripts in English and automatic subtitles in your preferred language will be available.