Daniel Kling, Thore Egeland, Andreas Tillmar, Lourdes Prieto

Mass Identifications (eBook, ePUB)

Statistical Methods in Forensic Genetics

• Format: ePub

Produktbeschreibung

Mass Identifications: Statistical Methods in Forensic Genetics summarizes the state-of-the-art in the field, including methods and recent development in genetics (sequencing). The book's authors focus on practical applications and implementation, helping readers determine how to approach the problem to identify individuals using DNA and statistically summarize evidence. Written by leading experts in the field for forensic scientists, geneticists, forensic anthropologists, and pathologists working with identifications, the book is ideal for scientists and practitioners in many areas.

• Focuses on methods, challenges and solutions in DVI cases
• Covers the use of DNA databases searches and the statistical evaluation of genetic comparisons
• Includes exercises at the end of the book

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 202
• Erscheinungstermin: 19. April 2021
• Englisch
• ISBN-13: 9780128184240
• Artikelnr.: 61688680

Autorenporträt

Daniel Kling holds a PhD in biostatistics and is the author of several publications in forensic genetics including the book"Relationship inference using Familias and RdStatistical methods in Forensic Genetics". His current research includes topics such as linked markers in relationship inference, software developments, and population genetics. He is the developer of the softwareFamilias, FamLink, and FamLinkX, all of which are widely used in forensics.Thore Egeland is a professor of statistics at the Norwegian University of Life Sciences. He has worked in many areas including geostatistics, medicine, and reliability, and he and Petter Mostad started the Familias project. He has coauthored more than 100 scientific papers in forensic genetics. Currently, his research focuses on statistical methods applied to forensic genetics.Thore Egeland is a professor of statistics at the Norwegian University of Life Sciences. He has worked in many areas including geostatistics, medicine, and reliability, and he and Petter Mostad started the Familias project. He has coauthored more than 100 scientific papers in forensic genetics. Currently, his research focuses on statistical methods applied to forensic genetics.Andreas Tillmar, PhD, works as a forensic geneticist at the Nation Board of Forensic Medicine, Sweden and as a senior lecturer and associated professor of forensic genetics at Linköping University, Sweden. He is well experienced from working over 15 years in the field. During these years he has signed more than 10,000 reports on DNA-based paternity, kinship and missing person investigations. His current tasks include technical leadership mixed with R&D. His research is focused on various topics of forensic genetics such as applying new genetic polymorphisms for complex kinship testing, population genetics, applied biostatistics and most recently forensic DNA genealogy. He is the main, senior or co-author of more than 40 peer-reviewed articles. He is the chairman of the English Speaking Working Group (ESWG) of the International Society for Forensic Genetics (ISFG)Lourdes Prieto holds a PhD in forensic biology and her profile is more focused on real cases. She has been working at the DNA Lab of the Spanish Forensic Police for 30 years. She is experienced in disaster victim identification and missing person scenarios, either actively participating in the identifications (like the 11M bombing attack in Madrid 2004, victims of the Pinochet's dictatorship, several plane and train accidents) or advising on massive identification projects in countries including Colombia, Cyprus, El Salvador, Guatemala, Iraq, Mexico and Ukraine.

Inhaltsangabe

1. Introduction
what DNA analysis can do for mass identifications2. The data
ante and post mortem samples3. Evaluation of the data
comparing post mortem samples and selecting individuals to genotype4. Identification of missing persons5. Future Directions6. A case study