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Look Inside Genome-Wide Association Studies
eBook forthcoming

Genome-Wide Association Studies
From Polymorphism to Personalized Medicine

$194.00 (P)

Stephen W. Scherer, Peter M. Visscher, Krishnarao Appasani, Raghu K. Appasani, Urko Martinez-Marigorta, Juan Antonio Rodriguez, Arcadi Navarro, Can Yang, Cong Li, Dongjun Chung, Mengjie Chen, Joel Gelernter, Hongyu Zhao, Tuomas O. Kilpelainen, Kouichi Ozaki, Toshihiro Tanaka, Randall C. Johnson, Cheryl A. Winkler, Meredith Yeager, Sven Stringer, Dorien H. Nieman, René S. Kahn, Eske M. Derks, Takeo Kubota, Kunio Miyake, Takae Hirasawa, Laurent F. Thomas, Pal Saetrom, Sandra Villafuerte, Elisa M. Trucco, Margit Burmeister, Erwin Brosens, K. G. Snoek, D. Veenma, H. Eussen, D. Tibboel, A. de Klein, Yiyi Ma, Caren E. Smith, Yu-Chi Lee, Laurence D. Parnell, Chao-Qiang Lai, José M. Ordovás, Elena Bosch, Ferran Casals, Man-Hung Eric Tang, Vinay Varadan, Sitharthan Kamalakaran, Michael Q. Zhang, James Hicks, Nevenka Dimitrova, Naif Zaman, Edwin Wang, Neha S. Bhise, Lata Chauhan, Jatinder K. Lamba, Chonlaphat Sukasem, Apichaya Puangpetch, Sadeep Medhasi, Sheikh Nizamuddin, Rakesh Tamang, Kumarasamy Thangaraj, Barry Merriman, Katherine Payne, Martin Eden
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  • Date Published: January 2016
  • availability: In stock
  • format: Hardback
  • isbn: 9781107042766

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About the Authors
  • Over the last twenty years, genome-wide association studies (GWAS) have revealed a great deal about the genetic basis of a wide range of complex diseases and they will undoubtedly continue to have a broad impact as we move to an era of personalised medicine. This authoritative text, written by leaders and innovators from both academia and industry, covers the basic science as well as the clinical, biotechnological and pharmaceutical potential of these methods. With special emphasis given to highlighting pharmacogenomics and population genomics studies using next-generation technology approaches, this is the first book devoted to combining association studies with single nucleotide polymorphisms, copy number variants, haplotypes and expressed quantitative trait loci. A reliable guide for newcomers to the field as well as for experienced scientists, this is a unique resource for anyone interested in how the revolutionary power of genomics can be applied to solve problems in complex disease.

    • Brings together contributions from experts and innovators from both academia and industry to highlight the potential of genome-wide association studies
    • Takes a unique approach, combining association studies with single nucleotide polymorphisms, copy number variants, haplotypes and expressed quantitative trait loci, and giving special emphasis to pharmacogenomics and population genomics studies
    • Considers in detail the use of association studies in the context of disease biology and personalized medicine, providing an up-to-date overview of advances in the field
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    Reviews & endorsements

    "Genome-Wide Association Studies: From Polymorphism to Personalized Medicine, edited by Krishnarao Appasani, summarizes most elegantly the contributions of GWAS as a major discovery tool linking complex disease phenotypes to genetic variants and associated biological pathways and gene networks that were previously unknown. GWAS has transformed the genetic landscape in complex disease and has informed us more about the genetic underpinnings of common diseases and pharmacogenomics traits than any other tool to date. The present book captures this development elegantly and is a pleasure to read."
    Hakon Hakonarson, University of Pennsylvania

    "From genotype to phenotype: this biological paradigm is now elucidated and extended to the vision of genomic medicine. This highly informative book combines the current knowledge of genome wide association studies with the pathophysiology, epidemiology of human disease and health condition, especially, implicating in the development of personalized and precision medicine. The combination of technical, scientific, medical and pharmaco-economic aspects supports the high value of this book for scientists and medical specialists working in the field."
    Christine Günther, Chief Executive Officer, apceth GmbH and Co. KG, Munich, Germany

    "Through my 30 years’ experience in genetics of diabetes, I realize that now is an exciting time in the history of medical genetics thanks to successful genome-wide association studies and challenging whole-genome studies using next-generation sequencing technologies. This excellent book, covering a wide-range of topics and their practical examples in this field, is undoubtedly recommended for readers who are interested in or engaged in genomic medicine."
    Takuya Awata, International University of Health and Welfare Hospital, Tochigi, Japan

    "Genome-Wide Association Studies: From Polymorphism to Personalized Medicine has an impressive and diverse list of contributors and will become a highly valuable resource for both experts and researchers entering the field."
    Jeanette Schmidt, Vice President of Informatics, Affymetrix, Inc., Santa Clara, USA

    "This book details how the huge experimental efforts of GWAS can be put into both a biological and medically relevant context, indeed an excellent read for any researcher trying to understand the functional effect of genetic disease association with complex disease."
    Tara Caffrey, University of Oxford

    'This volume provides a great resource for beginners to learn about the recent advances in GWAS and for domain experts to identity the gaps in the area. … The provided software and case studies can guide readers through the procedures and will easily allow a researcher to finish a project on their own. I think this book will be a reliable guide for anyone who wants to learn and understand GWAS. I hope other readers will enjoy the book as much as I did.' Jinliang Yang, The Quarterly Review of Biology

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    Product details

    • Date Published: January 2016
    • format: Hardback
    • isbn: 9781107042766
    • dimensions: 254 x 180 x 24 mm
    • weight: 1.05kg
    • contains: 67 b/w illus. 26 colour illus. 24 tables
    • availability: In stock
  • Table of Contents

    List of contributors
    Foreword Stephen W. Scherer
    Foreword Peter M. Visscher
    Preface
    Part I. Genome-Wide Association Studies:
    1. Introduction to genome-wide association Krishnarao Appasani and Raghu K. Appasani
    2. GWAS: a milestone in the road from genotypes to phenotypes Urko Martinez-Marigorta, Juan Antonio Rodriguez and Arcadi Navarro
    3. Introduction to statistical methods in genome-wide association studies Can Yang, Cong Li, Dongjun Chung, Mengjie Chen, Joel Gelernter and Hongyu Zhao
    4. GWAS replicability across time and space Urko Martinez-Marigorta, Juan Antonio Rodriguez and Arcadi Navarro
    Part II. Genome-Wide Studies in Disease Biology:
    5. Genome-wide association studies of body mass index Tuomas O. Kilpelainen
    6. Identification of myocardial infarction susceptible genes and their functional analyses Kouichi Ozaki and Toshihiro Tanaka
    7. Admixture mapping for disease gene discovery Randall C. Johnson, Cheryl A. Winkler and Meredith Yeager
    8. Genome-wide association analysis in schizophrenia Sven Stringer, Dorien H. Nieman, René S. Kahn and Eske M. Derks
    9. Epigenome-wide association studies in neurodevelopmental disorders Takeo Kubota, Kunio Miyake and Takae Hirasawa
    Part III. Single Nucleotide Polymorphisms, Copy Number Variants, Haplotypes and eQTLs:
    10. Finding SNPs that affect microRNA regulation in disease-associated genomic regions Laurent F. Thomas and Pal Saetrom
    11. From linkage to complex associations: the role of GABRA2 as a risk factor for alcohol use Sandra Villafuerte, Elisa M. Trucco and Margit Burmeister
    12. Copy number variation in monozygous twins Erwin Brosens, K. G. Snoek, D. Veenma, H. Eussen, D. Tibboel and A. de Klein
    13. Haplotypes of CpG-related SNPs and association with DNA methylation patterns Yiyi Ma, Caren E. Smith, Yu-Chi Lee, Laurence D. Parnell, Chao-Qiang Lai and José M. Ordovás
    14. eQTL mapping Mengjie Chen, Can Yang, Cong Li and Hongyu Zhao
    Part IV. Next-Generation Sequencing Technology and Pharmacogenomics:
    15. Next-generation sequencing for rare diseases Elena Bosch and Ferran Casals
    16. Next-generation sequencing for complex disorders Ferran Casals and Elena Bosch
    17. Chromosomal breakpoints in breast cancer co-localize with differentially methylated regions Man-Hung Eric Tang, Vinay Varadan, Sitharthan Kamalakaran, Michael Q. Zhang, James Hicks and Nevenka Dimitrova
    18. Signaling network analysis of genomic alterations predict breast cancer drug targets Naif Zaman and Edwin Wang
    19. Pharmacogenetic studies in pediatric acute myeloid leukemia Neha S. Bhise, Lata Chauhan and Jatinder K. Lamba
    20. Pharmacogenomics of antiretroviral drugs Chonlaphat Sukasem, Apichaya Puangpetch and Sadeep Medhasi
    Part V. Population Genetics and Personalized Medicine:
    21. Population stratification and its implications: lessons from genome-wide studies Sheikh Nizamuddin, Rakesh Tamang and Kumarasamy Thangaraj
    22. How to solve genetic disease on a population scale Barry Merriman
    23. Economics of personalized medicine Katherine Payne and Martin Eden
    Index.

  • Editor

    Krishnarao Appasani, GeneExpression Systems, Inc., Massachusetts
    Krishnarao Appasani is the Founder and Chief Executive Officer of GeneExpression Systems, a global conference-producing organization focusing on biomedical and physical sciences. He is an award-winning scientist and the editor of Epigenomics: From Chromatin Biology to Therapeutics (2012), MicroRNAs: From Basic Science to Disease Biology (2007) and RNA Interference: From Basic Science to Drug Development (2005), all published by Cambridge University Press.

    Foreword

    Stephen W. Scherer, University of Toronto

    Peter M. Visscher, University of Queensland

    Contributors

    Stephen W. Scherer, Peter M. Visscher, Krishnarao Appasani, Raghu K. Appasani, Urko Martinez-Marigorta, Juan Antonio Rodriguez, Arcadi Navarro, Can Yang, Cong Li, Dongjun Chung, Mengjie Chen, Joel Gelernter, Hongyu Zhao, Tuomas O. Kilpelainen, Kouichi Ozaki, Toshihiro Tanaka, Randall C. Johnson, Cheryl A. Winkler, Meredith Yeager, Sven Stringer, Dorien H. Nieman, René S. Kahn, Eske M. Derks, Takeo Kubota, Kunio Miyake, Takae Hirasawa, Laurent F. Thomas, Pal Saetrom, Sandra Villafuerte, Elisa M. Trucco, Margit Burmeister, Erwin Brosens, K. G. Snoek, D. Veenma, H. Eussen, D. Tibboel, A. de Klein, Yiyi Ma, Caren E. Smith, Yu-Chi Lee, Laurence D. Parnell, Chao-Qiang Lai, José M. Ordovás, Elena Bosch, Ferran Casals, Man-Hung Eric Tang, Vinay Varadan, Sitharthan Kamalakaran, Michael Q. Zhang, James Hicks, Nevenka Dimitrova, Naif Zaman, Edwin Wang, Neha S. Bhise, Lata Chauhan, Jatinder K. Lamba, Chonlaphat Sukasem, Apichaya Puangpetch, Sadeep Medhasi, Sheikh Nizamuddin, Rakesh Tamang, Kumarasamy Thangaraj, Barry Merriman, Katherine Payne, Martin Eden

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