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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > DNA

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Genome-Wide Association Studies - From Polymorphism to Personalized Medicine (Hardcover) Loot Price: R4,127
Discovery Miles 41 270
Genome-Wide Association Studies - From Polymorphism to Personalized Medicine (Hardcover): Krishnarao Appasani

Genome-Wide Association Studies - From Polymorphism to Personalized Medicine (Hardcover)

Krishnarao Appasani; Foreword by Stephen W. Scherer, Peter M. Visscher

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Loot Price R4,127 Discovery Miles 41 270 | Repayment Terms: R387 pm x 12*

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: 2016
Editors: Krishnarao Appasani
Foreword by: Stephen W. Scherer • Peter M. Visscher
Dimensions: 254 x 180 x 24mm (L x W x T)
Format: Hardcover
Pages: 432
ISBN-13: 978-1-107-04276-6
Categories: Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > DNA
LSN: 1-107-04276-3
Barcode: 9781107042766

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