Genome-Wide Association Studies

From Polymorphism to Personalized Medicine
Herausgeber: Appasani, Krishnarao

• Gebundenes Buch

Produktbeschreibung

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

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 432
• Erscheinungstermin: 14. Januar 2016
• Englisch
• Abmessung: 257mm x 175mm x 25mm
• Gewicht: 1052g
• ISBN-13: 9781107042766
• ISBN-10: 1107042763
• Artikelnr.: 43173345

Inhaltsangabe

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.