图书简介
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 personalised medicine.
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Harvard Library
Yale University Library
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.
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