A timely update of a highly popular handbook on statistical genomics
This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation.
The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research.
- Provides much-needed, timely coverage of new developments in this expanding area of study
- Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics
- Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics
- Extensive coverage of human genetic epidemiology, including ethical aspects
- Edited by one of the leading experts in the field along with rising stars as his co-editors
- Chapter authors are world-renowned experts in the field, and newly emerging leaders.
The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
Author(s): David Balding, Ida Moltke, John Marioni
Series: Handbook of Statistical Genomics #4
Publisher: John Wiley & Sons, Inc.
Year: 2019
Language: English
Pages: 1215
Tags: statistics, genetics, linkage disequilibrium, recombination, haplyotypes, genotype imputation, population genetics, coalescent theory, phylogeny estimation, maximum liklelihood, population structure, demography, admixture analysis, introgression, ancient DNA, protein evolution, natural selection, quantitative genetics, conservation, plant breeding, forensic genetics, pedigree analysis, GWAS, replication, causal inference, mendelian randomization, functional annotations, QTL mapping, single-cell
- 1: "Statistical Modeling and Inference in Genetics" (Pages: 1-50); Daniel Wegmann Christoph Leuenberger
- 2: "Linkage Disequilibrium, Recombination and Haplotype Structure" (Pages: 51-86); Gil McVean Jerome Kelleher
- 3: "Haplotype Estimation and Genotype Imputation" (Pages: 87-114); Jonathan Marchini
- 4: "Mathematical Models in Population Genetics" (Pages: 115-20); Nick Barton Alison Etheridge
- 5: "Coalescent Theory" (Pages: 145-30); Magnus Nordborg
- 6: "Phylogeny Estimation Using Likelihood‐Based Methods" (Pages: 177-40); John P. Huelsenbeck
- 7: "The Multispecies Coalescent" (Pages: 219-246); Laura Kubatko
- 8: "Population Structure, Demography and Recent Admixture" (Pages: 247-274); G. Hellenthal
- 9: "Statistical Methods to Detect Archaic Admixture and Identify Introgressed Sequences" (Pages: 275-20); Liming Li Joshua M. Akey
- 10: "Population Genomic Analyses of DNA from Ancient Remains" (Pages: 295-40); Torsten Günther and Mattias Jakobsson
- 11: "Sequence Covariation Analysis in Biological Polymers" (Pages: 325-30); William R. Taylor Shaun Kandathil David T. Jones
- 12: "Probabilistic Models for the Study of Protein Evolution" (Pages: 347-30); Umberto Perron Iain H. Moal Jeffrey L. Thorne Nick Goldman
- 13: "Adaptive Molecular Evolution" (Pages: 369-396); Ziheng Yang
- 14: "Detecting Natural Selection" (Pages: 397-40); Aaron J. Stern Rasmus Nielsen
- 15: "Evolutionary Quantitative Genetics" (Pages: 421-30); Bruce Walsh Michael B. Morrissey
- 16: "Conservation Genetics" (Pages: 457-40); Mark Beaumont Jinliang Wang
- 17: "Statistical Methods for Plant Breeding" (Pages: 501-20); Ian Mackay Hans‐Peter Piepho Antonio Augusto Franco Garcia
- 18: "Forensic Genetics" (Pages: 531-550); B.S. Weir
- 19: "Ethical Issues in Statistical Genetics" (Pages: 551-30); Susan E. Wallace Richard Ashcroft
- 20: "Descent‐Based Gene Mapping in Pedigrees and Populations" (Pages: 573-596); E.A. Thompson
- 21: "Genome‐Wide Association Studies" (Pages: 597-550); Andrew P. Morris Lon R. Cardon
- 22: "Replication and Meta‐analysis of Genome‐Wide Association Studies" (Pages: 631-650); Frank Dudbridge Paul Newcombe
- 23: "Inferring Causal Relationships between Risk Factors and Outcomes Using Genetic Variation" (Pages: 651-20); Stephen Burgess Christopher N. Foley Verena Zuber
- 24: "Improving Genetic Association Analysis through Integration of Functional Annotations of the Human Genome" (Pages: 679-30); Qiongshi Lu Hongyu Zhao
- 25: "Inferring Causal Associations between Genes and Disease via the Mapping of Expression Quantitative Trait Loci" (Pages: 697-38); Solveig K. Sieberts Eric E. Schadt
- 26: "Statistical Methods for Single‐Cell RNA‐Sequencing" (Pages: 735-20); Tallulah S. Andrews Vladimir Yu. Kiselev Martin Hemberg
- 27: "Variant Interpretation and Genomic Medicine" (Pages: 761-786); K. Carss D. Goldstein V. Aggarwal S. Petrovski
- 28: "Prediction of Phenotype from DNA Variants" (Pages: 799-20); M.E. Goddard T.H.E. Meuwissen H.D. Daetwyler
- 29: "Disease Risk Models" (Pages: 815-842); Allison Meisner Nilanjan Chatterjee
- 30: "Bayesian Methods for Gene Expression Analysis" (Pages: 843-40); Alex Lewin Leonardo Bottolo Sylvia Richardson
- 31: "Modelling Gene Expression Dynamics with Gaussian Process Inference" (Pages: 879-20); Magnus Rattray Jing Yang Sumon Ahmed Alexis Boukouvalas
- 32: "Modelling Non‐homogeneous Dynamic Bayesian Networks with Piecewise Linear Regression Models" (Pages: 899-28); Marco Grzegorczyk Dirk Husmeier
- 33: "DNA Methylation" (Pages: 933-948); Kasper D. Hansen Kimberly D. Siegmund Shili Lin
- 34: "Statistical Methods in Metabolomics" (Pages: 949-976); Timothy M.D. Ebbels Maria De Iorio David A. Stephens
- 35: "Statistical and Computational Methods in Microbiome and Metagenomics" (Pages: 977-550); Hongzhe Li
- 36: "Bacterial Population Genomics" (Pages: 997-1020); Jukka Corander Nicholas J. Croucher Simon R. Harris John A. Lees Gerry Tonkin‐Hill
- Index (Pages: 1021-1108)
- Index (Pages: 1109-1135)
