Genome-Wide Association Studies and Genomic Prediction (Hardcover, 2013 ed.)

With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in human medicine, production traits in agriculture, and variation in wild populations. Genomic prediction goes a step further, attempting to predict phenotypic variation in these traits from genomic information. Genome-Wide Association Studies and Genomic Prediction pulls together expert contributions to address this important area of study. The volume begins with a section covering the phenotypes of interest as well as design issues for GWAS, then moves on to discuss efficient computational methods to store and handle large datasets, quality control measures, phasing, haplotype inference, and imputation. Later chapters deal with statistical approaches to data analysis where the experimental objective is either to confirm the biology by identifying genomic regions associated to a trait or to use the data to make genomic predictions about a future phenotypic outcome (e.g. predict onset of disease). As part of the Methods in Molecular Biology series, chapters provide helpful, real-world implementation advice.

General

Imprint:	HumanaPress
Country of origin:	United States
Series:	Methods in Molecular Biology, 1019
Release date:	June 2013
First published:	2013
Editors:	Cedric Gondro • Julius Van Der Werf • Ben Hayes
Dimensions:	254 x 178 x 36mm (L x W x T)
Format:	Hardcover
Pages:	566
Edition:	2013 ed.
ISBN-13:	978-1-62703-446-3
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > DNA
LSN:	1-62703-446-3
Barcode:	9781627034463

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