Description

Book Synopsis

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 interpret

Table of Contents

Volume 1

List of Contributors xxiii

Editors’ Preface to the Fourth Edition xxvii

Glossary xxix

Abbreviations and Acronyms xxxix

1 Statistical Modeling and Inference in Genetics 1
Daniel Wegmann and Christoph Leuenberger

2 Linkage Disequilibrium, Recombination and Haplotype Structure 51
Gil McVean and Jerome Kelleher

3 Haplotype Estimation and Genotype Imputation 87
Jonathan Marchini

4 Mathematical Models in Population Genetics 115
Nick Barton and Alison Etheridge

5 Coalescent Theory 145
Magnus Nordborg

6 Phylogeny Estimation Using Likelihood-Based Methods 177
John P. Huelsenbeck

7 The Multispecies Coalescent 219
Laura Kubatko

8 Population Structure, Demography and Recent Admixture 247
G. Hellenthal

9 Statistical Methods to Detect Archaic Admixture and Identify Introgressed Sequences 275
Liming Li and Joshua M. Akey

10 Population Genomic Analyses of DNA from Ancient Remains 295
Torsten Gunther and Mattias Jakobsson

11 Sequence Covariation Analysis in Biological Polymers 325
William R. Taylor, Shaun Kandathil, and David T. Jones

12 Probabilistic Models for the Study of Protein Evolution 347
Umberto Perron, Iain H. Moal, Jeffrey L. Thorne, and Nick Goldman

13 Adaptive Molecular Evolution 369
Ziheng Yang

14 Detecting Natural Selection 397
Aaron J. Stern and Rasmus Nielsen

15 Evolutionary Quantitative Genetics 421
Bruce Walsh and Michael B. Morrissey

16 Conservation Genetics 457
Mark Beaumont and Jinliang Wang

17 Statistical Methods for Plant Breeding 501
Ian Mackay, Hans-Peter Piepho, and Antonio Augusto Franco Garcia

18 Forensic Genetics 531
B.S.Weir

Volume 2

19 Ethical Issues in Statistical Genetics 551
Susan E. Wallace and Richard Ashcroft

20 Descent-Based Gene Mapping in Pedigrees and Populations 573
E.A. Thompson

21 Genome-Wide Association Studies 597
Andrew P. Morris and Lon R. Cardon

22 Replication and Meta-analysis of Genome-Wide Association Studies 631
Frank Dudbridge and Paul Newcombe

23 Inferring Causal Relationships between Risk Factors and Outcomes Using Genetic Variation 651
Stephen Burgess, Christopher N. Foley, and Verena Zuber

24 Improving Genetic Association Analysis through Integration of Functional Annotations of the Human Genome 679
Qiongshi Lu and Hongyu Zhao

25 Inferring Causal Associations between Genes and Disease via the Mapping of Expression Quantitative Trait Loci 697
Solveig K. Sieberts and Eric E. Schadt

26 Statistical Methods for Single-Cell RNA-Sequencing 735
Tallulah S. Andrews, Vladimir Yu. Kiselev, and Martin Hemberg

27 Variant Interpretation and Genomic Medicine 761
K. Carss, D. Goldstein, V. Aggarwal, and S. Petrovski

28 Prediction of Phenotype from DNA Variants 799
M.E. Goddard, T.H.E. Meuwissen, and H.D. Daetwyler

29 Disease Risk Models 815
Allison Meisner and Nilanjan Chatterjee

30 Bayesian Methods for Gene Expression Analysis 843
Alex Lewin, Leonardo Bottolo, and Sylvia Richardson

31 Modelling Gene Expression Dynamics with Gaussian Process Inference 879
Magnus Rattray, Jing Yang, Sumon Ahmed, and Alexis Boukouvalas

32 Modelling Non-homogeneous Dynamic Bayesian Networks with Piecewise Linear Regression Models 899
Marco Grzegorczyk and Dirk Husmeier

33 DNA Methylation 933
Kasper D. Hansen, Kimberly D. Siegmund, and Shili Lin

34 Statistical Methods in Metabolomics 949
Timothy M.D. Ebbels, Maria De Iorio, and David A. Stephens

35 Statistical and Computational Methods in Microbiome and Metagenomics 977
Hongzhe Li

36 Bacterial Population Genomics 997
Jukka Corander, Nicholas J. Croucher, Simon R. Harris, John A. Lees, and Gerry Tonkin-Hill

Reference Author Index 1021

Subject Index 1109

Handbook of Statistical Genomics

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    RRP £290.95 – you save £14.55 (5%)

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    A Hardback by David J. Balding, Ida Moltke, John Marioni

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      View other formats and editions of Handbook of Statistical Genomics by David J. Balding

      Publisher: John Wiley & Sons Inc
      Publication Date: 06/09/2019
      ISBN13: 9781119429142, 978-1119429142
      ISBN10: 1119429145

      Description

      Book Synopsis

      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 interpret

      Table of Contents

      Volume 1

      List of Contributors xxiii

      Editors’ Preface to the Fourth Edition xxvii

      Glossary xxix

      Abbreviations and Acronyms xxxix

      1 Statistical Modeling and Inference in Genetics 1
      Daniel Wegmann and Christoph Leuenberger

      2 Linkage Disequilibrium, Recombination and Haplotype Structure 51
      Gil McVean and Jerome Kelleher

      3 Haplotype Estimation and Genotype Imputation 87
      Jonathan Marchini

      4 Mathematical Models in Population Genetics 115
      Nick Barton and Alison Etheridge

      5 Coalescent Theory 145
      Magnus Nordborg

      6 Phylogeny Estimation Using Likelihood-Based Methods 177
      John P. Huelsenbeck

      7 The Multispecies Coalescent 219
      Laura Kubatko

      8 Population Structure, Demography and Recent Admixture 247
      G. Hellenthal

      9 Statistical Methods to Detect Archaic Admixture and Identify Introgressed Sequences 275
      Liming Li and Joshua M. Akey

      10 Population Genomic Analyses of DNA from Ancient Remains 295
      Torsten Gunther and Mattias Jakobsson

      11 Sequence Covariation Analysis in Biological Polymers 325
      William R. Taylor, Shaun Kandathil, and David T. Jones

      12 Probabilistic Models for the Study of Protein Evolution 347
      Umberto Perron, Iain H. Moal, Jeffrey L. Thorne, and Nick Goldman

      13 Adaptive Molecular Evolution 369
      Ziheng Yang

      14 Detecting Natural Selection 397
      Aaron J. Stern and Rasmus Nielsen

      15 Evolutionary Quantitative Genetics 421
      Bruce Walsh and Michael B. Morrissey

      16 Conservation Genetics 457
      Mark Beaumont and Jinliang Wang

      17 Statistical Methods for Plant Breeding 501
      Ian Mackay, Hans-Peter Piepho, and Antonio Augusto Franco Garcia

      18 Forensic Genetics 531
      B.S.Weir

      Volume 2

      19 Ethical Issues in Statistical Genetics 551
      Susan E. Wallace and Richard Ashcroft

      20 Descent-Based Gene Mapping in Pedigrees and Populations 573
      E.A. Thompson

      21 Genome-Wide Association Studies 597
      Andrew P. Morris and Lon R. Cardon

      22 Replication and Meta-analysis of Genome-Wide Association Studies 631
      Frank Dudbridge and Paul Newcombe

      23 Inferring Causal Relationships between Risk Factors and Outcomes Using Genetic Variation 651
      Stephen Burgess, Christopher N. Foley, and Verena Zuber

      24 Improving Genetic Association Analysis through Integration of Functional Annotations of the Human Genome 679
      Qiongshi Lu and Hongyu Zhao

      25 Inferring Causal Associations between Genes and Disease via the Mapping of Expression Quantitative Trait Loci 697
      Solveig K. Sieberts and Eric E. Schadt

      26 Statistical Methods for Single-Cell RNA-Sequencing 735
      Tallulah S. Andrews, Vladimir Yu. Kiselev, and Martin Hemberg

      27 Variant Interpretation and Genomic Medicine 761
      K. Carss, D. Goldstein, V. Aggarwal, and S. Petrovski

      28 Prediction of Phenotype from DNA Variants 799
      M.E. Goddard, T.H.E. Meuwissen, and H.D. Daetwyler

      29 Disease Risk Models 815
      Allison Meisner and Nilanjan Chatterjee

      30 Bayesian Methods for Gene Expression Analysis 843
      Alex Lewin, Leonardo Bottolo, and Sylvia Richardson

      31 Modelling Gene Expression Dynamics with Gaussian Process Inference 879
      Magnus Rattray, Jing Yang, Sumon Ahmed, and Alexis Boukouvalas

      32 Modelling Non-homogeneous Dynamic Bayesian Networks with Piecewise Linear Regression Models 899
      Marco Grzegorczyk and Dirk Husmeier

      33 DNA Methylation 933
      Kasper D. Hansen, Kimberly D. Siegmund, and Shili Lin

      34 Statistical Methods in Metabolomics 949
      Timothy M.D. Ebbels, Maria De Iorio, and David A. Stephens

      35 Statistical and Computational Methods in Microbiome and Metagenomics 977
      Hongzhe Li

      36 Bacterial Population Genomics 997
      Jukka Corander, Nicholas J. Croucher, Simon R. Harris, John A. Lees, and Gerry Tonkin-Hill

      Reference Author Index 1021

      Subject Index 1109

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