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Genome-Wide Association Studies: From Polymorphism to Personalized Medicine: New
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Specificaties
- Objectstaat
- Book Title
- Genome-Wide Association Studies: From Polymorphism to Personalize
- Publication Date
- 2016-01-14
- ISBN
- 9781107042766
- Publication Year
- 2016
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Genome-Wide Association Studies : from Polymorphism to Personalized Medicine
- Item Height
- 0.9in
- Item Length
- 10in
- Publisher
- Cambridge University Press
- Item Width
- 7.1in
- Item Weight
- 37 Oz
- Number of Pages
- 432 Pages
Over dit product
Product Information
Genome-wide association studies (GWAS) will have increasing importance in the post-genomic era. This timely publication, written by leading experts from academia and industry, provides an essential overview for both established scientists and students, focusing on the use of GWAS in the context of disease biology and personalized medicine.
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
1107042763
ISBN-13
9781107042766
eBay Product ID (ePID)
215994159
Product Key Features
Publication Name
Genome-Wide Association Studies : from Polymorphism to Personalized Medicine
Format
Hardcover
Language
English
Publication Year
2016
Type
Textbook
Number of Pages
432 Pages
Dimensions
Item Length
10in
Item Height
0.9in
Item Width
7.1in
Item Weight
37 Oz
Additional Product Features
Lc Classification Number
Rb155
Reviews
"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, "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, "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, "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, "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
Table of 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, 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.
Copyright Date
2015
Target Audience
Scholarly & Professional
Topic
Life Sciences / Genetics & Genomics
Lccn
2015-017921
Dewey Decimal
616/.042
Dewey Edition
23
Illustrated
Yes
Genre
Science
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