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Genomic Best Linear Unbiased Prediction (gBLUP) for the Estimation of Genomic Breeding Values by Samuel A. Clark; Julius van der Werf is a book available to read on EtoBox.

What is Genomic Best Linear Unbiased Prediction (gBLUP) for the Estimation of Genomic Breeding Values about?

"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 d

Author

Samuel A. Clark; Julius van der Werf

Publisher

Humana Press : Imprint : Humana Press

Published

2013

Language

EN

ISBN

9781627034463

Subjects

Science, Biology, Stem