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Relationship inference with familias and r : statistical methods in forensic genetics / / Thore Egeland, Daniel Kling, Petter Mostad
| Relationship inference with familias and r : statistical methods in forensic genetics / / Thore Egeland, Daniel Kling, Petter Mostad |
| Autore | Egeland Thore |
| Pubbl/distr/stampa | London, England : , : Academic Press, , 2016 |
| Descrizione fisica | 1 online resource (255 p.) |
| Disciplina | 363.25 |
| Soggetto topico |
Forensic sciences - Research - History
Forensic sciences - Standards R (Computer program language) |
| ISBN | 0-12-802626-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Relationship Inference with Familias and R: Statistical Methods in Forensic Genetics; Copyright; Contents; Preface; Acknowledgments; Chapter 1: Introduction; 1.1 Using This Book; 1.2 Warm-Up Examples; 1.3 Statistics and the Law; 1.3.1 Context; 1.3.2 Terminology; 1.3.3 Principles; 1.3.4 Fallacies; Chapter 2: Basics; 2.1 Forensic Markers; 2.2 Probabilities of Genotypes; 2.3 Likelihoods and LRs; 2.3.1 Standard Hypotheses; 2.3.2 The LR; 2.3.3 Identical by Descent and Pairwise Relationships; 2.3.4 Probability of Paternity: W; 2.3.5 Bayes's Theorem in Odds Form; 2.4 Mutation
2.4.1 Biological Background2.4.2 Mutation Example; 2.4.3 Mutation for Duos; 2.4.4 Dealing with Mutations in Practice; 2.5 Theta Correction; 2.5.1 Sampling Formula; 2.6 Silent Allele; 2.7 Dropout; 2.8 Exclusion Probabilities; 2.8.1 Random Match Probability; 2.9 Beyond Standard Markers and Data; 2.9.1 X-Chromosomal Markers; 2.9.2 Y-Chromosomal and mtDNA Markers; 2.9.3 DNA Mixtures; 2.10 Simulation; 2.11 Several, Possibly Complex Pedigrees; 2.12 Case Studies; 2.12.1 Paternity Case with Mutation; 2.12.2 Wine Grapes; Prior model for wine grapes; Likelihoods for wine grapes; 2.13 Exercises Chapter 3: Searching for relationships3.1 Introduction; 3.2 Disaster Victim Identification; 3.2.1 Identification Process; 3.2.2 Prior Information; 3.2.3 Implementation in Familias; 3.2.4 Extensions; Quick searching; Multiple relatives; 3.3 Blind Search; 3.3.1 Kinship Matching; 3.3.2 Direct Matching; 3.4 Familial Searching; 3.4.1 Implementation; 3.4.2 *Relatives and Mixtures; 3.4.3 Select Subsets; Top k; LR threshold; Profile centered; Conditional; 3.5 Exercises; Chapter 4: Dependent markers; 4.1 Linkage; 4.1.1 Recombination; 4.1.2 Introduction to Calculations 4.1.3 Generalization and the Lander-Green Algorithm4.1.4 Extensions; X-chromosomal markers; Mutations; Subpopulation correction; Dropouts and silent alleles; 4.2 Linkage Disequilibrium; 4.2.1 Introduction to Calculations; 4.2.2 *Generalization; Cluster approach; Exact calculations; 4.3 Haplotype Frequency Estimation; 4.4 Programs for Linked Markers; 4.4.1 FamLink; 4.4.2 FamLinkX; 4.5 Exercises; 4.5.1 Autosomal Markers and FamLink; 4.5.2 X-Chromosomal Markers and FamLinkX; Chapter 5: Relationship inference with R; 5.1 Using R; 5.1.1 R Packages for Relationship Inference 5.1.2 The Familias Package5.2 Exercises; Chapter 6: Models for pedigree inference; 6.1 Population-Level Models; 6.1.1 *Frequency Uncertainty; 6.1.2 *Taking Frequency Uncertainty into Account; 6.1.3 *Population Structure and Subpopulations; 6.1.4 *Haplotype Models; 6.1.5 Population Models for Nonautosomal Markers; 6.2 Pedigree-Level Models; 6.2.1 Mutation Models; The ""Equal'' model; The ""Stepwise'' model; *Stationary mutation models; *Model based on frequencies; *Stabilizing existing mutation models; 6.3 Observational-Level Models; 6.4 Computations; 6.4.1 Identical by Descent Assuming independent markers, two tested persons, and no inbreeding |
| Record Nr. | UNINA-9910798064903321 |
Egeland Thore
|
||
| London, England : , : Academic Press, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Relationship inference with familias and r : statistical methods in forensic genetics / / Thore Egeland, Daniel Kling, Petter Mostad
| Relationship inference with familias and r : statistical methods in forensic genetics / / Thore Egeland, Daniel Kling, Petter Mostad |
| Autore | Egeland Thore |
| Pubbl/distr/stampa | London, England : , : Academic Press, , 2016 |
| Descrizione fisica | 1 online resource (255 p.) |
| Disciplina | 363.25 |
| Soggetto topico |
Forensic sciences - Research - History
Forensic sciences - Standards R (Computer program language) |
| ISBN | 0-12-802626-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Relationship Inference with Familias and R: Statistical Methods in Forensic Genetics; Copyright; Contents; Preface; Acknowledgments; Chapter 1: Introduction; 1.1 Using This Book; 1.2 Warm-Up Examples; 1.3 Statistics and the Law; 1.3.1 Context; 1.3.2 Terminology; 1.3.3 Principles; 1.3.4 Fallacies; Chapter 2: Basics; 2.1 Forensic Markers; 2.2 Probabilities of Genotypes; 2.3 Likelihoods and LRs; 2.3.1 Standard Hypotheses; 2.3.2 The LR; 2.3.3 Identical by Descent and Pairwise Relationships; 2.3.4 Probability of Paternity: W; 2.3.5 Bayes's Theorem in Odds Form; 2.4 Mutation
2.4.1 Biological Background2.4.2 Mutation Example; 2.4.3 Mutation for Duos; 2.4.4 Dealing with Mutations in Practice; 2.5 Theta Correction; 2.5.1 Sampling Formula; 2.6 Silent Allele; 2.7 Dropout; 2.8 Exclusion Probabilities; 2.8.1 Random Match Probability; 2.9 Beyond Standard Markers and Data; 2.9.1 X-Chromosomal Markers; 2.9.2 Y-Chromosomal and mtDNA Markers; 2.9.3 DNA Mixtures; 2.10 Simulation; 2.11 Several, Possibly Complex Pedigrees; 2.12 Case Studies; 2.12.1 Paternity Case with Mutation; 2.12.2 Wine Grapes; Prior model for wine grapes; Likelihoods for wine grapes; 2.13 Exercises Chapter 3: Searching for relationships3.1 Introduction; 3.2 Disaster Victim Identification; 3.2.1 Identification Process; 3.2.2 Prior Information; 3.2.3 Implementation in Familias; 3.2.4 Extensions; Quick searching; Multiple relatives; 3.3 Blind Search; 3.3.1 Kinship Matching; 3.3.2 Direct Matching; 3.4 Familial Searching; 3.4.1 Implementation; 3.4.2 *Relatives and Mixtures; 3.4.3 Select Subsets; Top k; LR threshold; Profile centered; Conditional; 3.5 Exercises; Chapter 4: Dependent markers; 4.1 Linkage; 4.1.1 Recombination; 4.1.2 Introduction to Calculations 4.1.3 Generalization and the Lander-Green Algorithm4.1.4 Extensions; X-chromosomal markers; Mutations; Subpopulation correction; Dropouts and silent alleles; 4.2 Linkage Disequilibrium; 4.2.1 Introduction to Calculations; 4.2.2 *Generalization; Cluster approach; Exact calculations; 4.3 Haplotype Frequency Estimation; 4.4 Programs for Linked Markers; 4.4.1 FamLink; 4.4.2 FamLinkX; 4.5 Exercises; 4.5.1 Autosomal Markers and FamLink; 4.5.2 X-Chromosomal Markers and FamLinkX; Chapter 5: Relationship inference with R; 5.1 Using R; 5.1.1 R Packages for Relationship Inference 5.1.2 The Familias Package5.2 Exercises; Chapter 6: Models for pedigree inference; 6.1 Population-Level Models; 6.1.1 *Frequency Uncertainty; 6.1.2 *Taking Frequency Uncertainty into Account; 6.1.3 *Population Structure and Subpopulations; 6.1.4 *Haplotype Models; 6.1.5 Population Models for Nonautosomal Markers; 6.2 Pedigree-Level Models; 6.2.1 Mutation Models; The ""Equal'' model; The ""Stepwise'' model; *Stationary mutation models; *Model based on frequencies; *Stabilizing existing mutation models; 6.3 Observational-Level Models; 6.4 Computations; 6.4.1 Identical by Descent Assuming independent markers, two tested persons, and no inbreeding |
| Record Nr. | UNINA-9910823486003321 |
|
Egeland Thore
|
||
| London, England : , : Academic Press, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
