Genome-Wide Association Studies: From Polymorphism to Personalized Medicine

ISBN-13: 9781107042766 / Angielski / Twarda / 2016 / 432 str.

Krishnarao Appasani

Opis

Experts from academia and industry highlight the potential of genome-wide association studies from basic science to clinical and biotechnological/pharmaceutical applications.

Recenzje

'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

Spis treści

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.