Genome-Wide Association Studies
From Polymorphism to Personalized Medicine
Published on 14. January 2016
Book
Hardback
432 pages
978-1-107-04276-6 (ISBN)
Description
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.
Reviews / Votes
'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 Guenther, 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 BiologyMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Illustrations
24 Tables, black and white; 26 Plates, color; 54 Halftones, unspecified; 13 Line drawings, unspecified
Dimensions
Height: 257 mm
Width: 175 mm
Thickness: 25 mm
Weight
1052 gr
ISBN-13
978-1-107-04276-6 (9781107042766)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
02/2016
Cambridge University Press
€151.99
Available for download
E-Book
01/2016
Cambridge University Press
€126.99
Available for download
Persons
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.
Content
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, Rene 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 Jose M. Ordovas; 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.