Handbook of Statistical Genomics

Inbunden, Engelska, 2019

AvDavid J. Balding,Ida Moltke,John Marioni

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A timely update of a highly popular handbook on statistical genomicsThis 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 studyNumerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomicsDetailed coverage of application areas, with chapters on plant breeding, conservation and forensic geneticsExtensive coverage of human genetic epidemiology, including ethical aspectsEdited by one of the leading experts in the field along with rising stars as his co-editorsChapter 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.

Produktinformation

Utgivningsdatum2019-09-06
Mått188 x 262 x 58 mm
Vikt2 608 g
FormatInbunden
SpråkEngelska
Antal sidor1 216
Upplaga4
FörlagJohn Wiley & Sons Inc
ISBN9781119429142

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Volume 1List of Contributors xxiiiEditors’ Preface to the Fourth Edition xxviiGlossary xxixAbbreviations and Acronyms xxxix1 Statistical Modeling and Inference in Genetics 1Daniel Wegmann and Christoph Leuenberger2 Linkage Disequilibrium, Recombination and Haplotype Structure 51Gil McVean and Jerome Kelleher3 Haplotype Estimation and Genotype Imputation 87Jonathan Marchini4 Mathematical Models in Population Genetics 115Nick Barton and Alison Etheridge5 Coalescent Theory 145Magnus Nordborg6 Phylogeny Estimation Using Likelihood-Based Methods 177John P. Huelsenbeck7 The Multispecies Coalescent 219Laura Kubatko8 Population Structure, Demography and Recent Admixture 247G. Hellenthal9 Statistical Methods to Detect Archaic Admixture and Identify Introgressed Sequences 275Liming Li and Joshua M. Akey10 Population Genomic Analyses of DNA from Ancient Remains 295Torsten Gunther and Mattias Jakobsson11 Sequence Covariation Analysis in Biological Polymers 325William R. Taylor, Shaun Kandathil, and David T. Jones12 Probabilistic Models for the Study of Protein Evolution 347Umberto Perron, Iain H. Moal, Jeffrey L. Thorne, and Nick Goldman13 Adaptive Molecular Evolution 369Ziheng Yang14 Detecting Natural Selection 397Aaron J. Stern and Rasmus Nielsen15 Evolutionary Quantitative Genetics 421Bruce Walsh and Michael B. Morrissey16 Conservation Genetics 457Mark Beaumont and Jinliang Wang17 Statistical Methods for Plant Breeding 501Ian Mackay, Hans-Peter Piepho, and Antonio Augusto Franco Garcia18 Forensic Genetics 531B.S.WeirVolume 219 Ethical Issues in Statistical Genetics 551Susan E. Wallace and Richard Ashcroft20 Descent-Based Gene Mapping in Pedigrees and Populations 573E.A. Thompson21 Genome-Wide Association Studies 597Andrew P. Morris and Lon R. Cardon22 Replication and Meta-analysis of Genome-Wide Association Studies 631Frank Dudbridge and Paul Newcombe23 Inferring Causal Relationships between Risk Factors and Outcomes Using Genetic Variation 651Stephen Burgess, Christopher N. Foley, and Verena Zuber24 Improving Genetic Association Analysis through Integration of Functional Annotations of the Human Genome 679Qiongshi Lu and Hongyu Zhao25 Inferring Causal Associations between Genes and Disease via the Mapping of Expression Quantitative Trait Loci 697Solveig K. Sieberts and Eric E. Schadt26 Statistical Methods for Single-Cell RNA-Sequencing 735Tallulah S. Andrews, Vladimir Yu. Kiselev, and Martin Hemberg27 Variant Interpretation and Genomic Medicine 761K. Carss, D. Goldstein, V. Aggarwal, and S. Petrovski28 Prediction of Phenotype from DNA Variants 799M.E. Goddard, T.H.E. Meuwissen, and H.D. Daetwyler29 Disease Risk Models 815Allison Meisner and Nilanjan Chatterjee30 Bayesian Methods for Gene Expression Analysis 843Alex Lewin, Leonardo Bottolo, and Sylvia Richardson31 Modelling Gene Expression Dynamics with Gaussian Process Inference 879Magnus Rattray, Jing Yang, Sumon Ahmed, and Alexis Boukouvalas32 Modelling Non-homogeneous Dynamic Bayesian Networks with Piecewise Linear Regression Models 899Marco Grzegorczyk and Dirk Husmeier33 DNA Methylation 933Kasper D. Hansen, Kimberly D. Siegmund, and Shili Lin34 Statistical Methods in Metabolomics 949Timothy M.D. Ebbels, Maria De Iorio, and David A. Stephens35 Statistical and Computational Methods in Microbiome and Metagenomics 977Hongzhe Li36 Bacterial Population Genomics 997Jukka Corander, Nicholas J. Croucher, Simon R. Harris, John A. Lees, and Gerry Tonkin-HillReference Author Index 1021Subject Index 1109