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Genome-wide association studies and genomic prediction

Author: Cedric Gondro; Julius van der Werf; Ben Hayes
Publisher: New York : Humana Press, [2013] ©2013
Series: Methods in molecular biology (Clifton, N.J.), v.1019.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
"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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Genome-wide Association Studies and Genomic Prediction.
Humana Pr Inc 2013
(OCoLC)828487816
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Cedric Gondro; Julius van der Werf; Ben Hayes
ISBN: 9781627034470 1627034471
OCLC Number: 847807563
Description: 1 online resource (xi, 566 pages).
Contents: R for genome-wide association studies / Cedric Gondro, Laercio R. Porto-Neto, Seung Hwan Lee --
Descriptive statistics of data : understanding the data set and phenotypes of interest / Sonja Dominik --
Designing a GWAS : power, sample size, and data structure / Roderick D. Ball --
Managing large SNP datasets with SNPpy / Faheem Mitha --
Quality control for genome-wide association studies / Cedric Gondro, Seung Hwan Lee, Hak Kyo Lee, Laercio R. Porto-Neto --
Overview of statistical methods for genome-wide association studies (GWAS) / Ben Hayes --
Statistical analysis of genomic data / Roderick D. Ball --
Using PLINK for genome-wide association studies (GWAS) and data analysis / Miguel E. Rentería, Adrian Cortes, Sarah E. Medland --
Genome-wide complex trait analysis (GCTA) : Methods, data analyses, and interpretations / Jian Yang, Sang Hong Lee, Michael E. Goddard, Peter M. Visscher --
Bayesian methods applied to GWAS / Rohan L. Fernando, Dorian Garrick --
Implementing a QTL detection study (GWAS) using genomic prediction methodology / Dorian J. Garrick, Rohan L. Fernando --
Genome-enabled prediction using the BLR (Bayesian Linear Regression) R-package / Gustavo de los Campos, Paulino Pérez, Ana I. Vazquez, José Crossa --
Genomic best linear unbiased prediction (gBLUP) for the estimation of genomic breeding values / Samuel A. Clark, Julius van der Werf --
Detecting regions of homozygosity to map the cause of recessively inherited disease / James W. Kijas --
Use of ancestral haplotypes in genome-wide association studies / Tom Druet, Frédéric Farnir --
Genotype phasing in populations of closely related individuals / John M. Hickey --
Genotype imputation to increase sample size in pedigreed populations / John M. Hickey, Matthew A. Cleveland, Christian Maltecca, Gregor Gorjanc, Birgit Gredler, Andreas Kranis --
Validation of genome-wide association studies (GWAS) results / John M. Henshall --
Detection of signatures of selection using FST / Laercio R. Porto-Neto, Seung Hwan Lee, Hak Kyo Lee, Cedric Gondro --
Association weight matrix : a network-based approach towards functional genome-wide association studies / Antonio Reverter, Marina R.S. Fortes --
Mixed effects structural equation models and phenotypic causal networks / Bruno Dourado Valente, Guilherme Jordão Magalhães Rosa --
Epistasis, complexity, and multifactor dimensionality reduction / Qinxin Pan, Ting Hu, Jason H. Moore --
Applications of multifactor dimensionality reduction to genome-wide data using the R package 'MDR' / Stacey Winham --
Higher order interactions : detection of epistasis using machine learning and evolutionary computation / Ronald M. Nelson, Marcin Kierczak, Örjan Carlborg --
Incorporating prior knowledge to increase the power of genome-wide association studies / Ashley Petersen, Justin Spratt, Nathan L. Tintle --
Genomic selection in animal breeding programs / Julius van der Werf.
Series Title: Methods in molecular biology (Clifton, N.J.), v.1019.
Responsibility: edited by Cedric Gondro, Julius van der Werf, Ben Hayes.
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Abstract:

This Methods in Molecular Biology(TM) book covers phenotypes of interest as well as design issues for GWAS, methods for storing and handling large datasets, quality control measures, haplotype  Read more...

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From the reviews: "A detailed review that will help both genomics newbies and experts to have a better picture of what their genome sequences can offer them today. ... People working in medicine and Read more...

 
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