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Pedigree Analysis in R gives an introduction to the theory of relatedness and covers a range of applications in forensic and medical genetics. The book's material was developed through teaching courses on genetic relatedness, pedigree analysis and R, and offers insights from a decade of research activities in forensic and medical genetics. The R code in the book uses the ped suite, a unified collection of packages for pedigree analysis, developed by the author. All code examples are given in full, allowing accurate reproduction of figures and results. At the end of each chapter, a selection of exercises encourages the reader to explore further and perform their own analyses.
- Introduction to the theory of genetic relatedness, richly illustrated with classic and novel examples
- In-depth case studies including kinship testing, pedigree reconstruction, linkage analysis and clinical segregation analysis
- Easy-to-follow R code with explanations
- Based on the ped suite packages for pedigree analysis in R
- Suitable for R users at all levels, including complete beginners
- Exercises after each chapter
Researchers and practitioners of forensic genetics / medical genetics. Students in graduate level forensic / medical genetic courses
2. Pedigrees and Marker Data
3. Coefficients of Relatedness
4. Realised Relatedness
5. Probabilities on Pedigrees
6. Kinship Testing
7. Inference of Pairwise Relatedness
8. Pedigree Reconstruction
9. Linkage Analysis
10. Segregation Analysis for Variant Interpretation
- No. of pages:
- © Academic Press 2021
- 1st November 2020
- Academic Press
- Paperback ISBN:
- eBook ISBN:
Magnus Dehli Vigeland works in the Department of Medical Genetics at Oslo University Hospital, University of Oslo, Oslo, Norway.
Department of Medical Genetics, Oslo University Hospital, University of Oslo, Oslo, Norway
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