knitr::opts_chunk$set(echo = TRUE, fig.align = "center", collapse = TRUE, comment = "#>")
The study of pedigrees and genetic relatedness is central in forensic genetics. The aim of this course is to introduce the elegant statistical foundations of relatedness, as well as several forensic applications. In certain parts we use R for calculations and visualisations. In the basic session we will focus on pedigree coefficients and likelihood ratios for kinship analysis. In addition, we will demonstrate QuickPed, an online tool for creating pedigrees and computing relatedness: https://magnusdv.shinyapps.io/quickped
In the advanced part we will explore recently developed methods and implementations for Disaster Victim Identification (DVI) and pedigree reconstruction.
The course material is based on the book Pedigree Analysis in R (Vigeland '21) and selected papers. Each session will alternate between lectures and hands-on exercises. Solutions for all exercises will be provided and discussed at the end of each session.
Attendance in the ‘Basic session’ is not required for the ‘Advanced session’ for participants who are familiar with R.
After completing the course the participants will have knowledge about:
The workshop is run as a full-day course on Tuesday 10th, from 9 to 18:30 (CEST). The following schedule is tentative:
link = pedsuite:::linkFUN(folder = "courses/isfg2024")
r link("Pedigrees and measures of relatedness", "Lecture1_pedigrees.pdf")
(MDV)r link("Exercises I", "exercises1.pdf")
r link("Kinship testing", "Lecture2-Kinship.pdf")
(TE)r link("Exercises II", "exercises2.pdf")
**Lunch break 13:00 - 14:30**
r link("Relatedness inference and pedigree reconstruction", "Lecture3-reconstruction.pdf")
(MDV)r link("Exercises III", "exercises3.pdf")
r link("Disaster victim identification", "Lecture4-DVI.pdf")
(TE)r link("Exercises IV", "exercises4.pdf")
Solutions to the exercises can be requested by email to magnusdv at gmail dot com.
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