Genome-wide complex trait analysis (GCTA): methods, data analyses, and interpretations

Yang, J., Lee, (Sang) Hong, Goddard, M. E. and Visscher, Peter (2013). Genome-wide complex trait analysis (GCTA): methods, data analyses, and interpretations. In Cedric Gondro, Julius van der Werf and Ben Hayes (Ed.), Genome-Wide Association Studies and Genomic Prediction (pp. 215-236) New York, NY U.S.A.: Humana Press. doi:10.1007/978-1-62703-447-0_9


Author Yang, J.
Lee, (Sang) Hong
Goddard, M. E.
Visscher, Peter
Title of chapter Genome-wide complex trait analysis (GCTA): methods, data analyses, and interpretations
Title of book Genome-Wide Association Studies and Genomic Prediction
Place of Publication New York, NY U.S.A.
Publisher Humana Press
Publication Year 2013
Sub-type Research book chapter (original research)
DOI 10.1007/978-1-62703-447-0_9
Year available 2013
Series Methods in Molecular Biology
ISBN 9781627034463
9781627034470
ISSN 1064-3745
1940-6029
Editor Cedric Gondro
Julius van der Werf
Ben Hayes
Volume number 1019
Chapter number 9
Start page 215
End page 236
Total pages 21
Total chapters 20
Collection year 2014
Language eng
Formatted Abstract/Summary
Estimating genetic variance is traditionally performed using pedigree analysis. Using high-throughput DNA marker data measured across the entire genome it is now possible to estimate and partition genetic variation from population samples. In this chapter, we introduce methods and a software tool called Genome-wide Complex Trait Analysis (GCTA) to estimate genomic relationships between pairs of conventionally unrelated individuals using genome-wide single nucleotide polymorphism (SNP) data, to estimate variance explained by all SNPs simultaneously on genomic or chromosomal segments or over the whole genome, and to perform a joint and conditional multiple SNPs association analysis using summary statistics from a meta-analysis of genome-wide association studies and linkage disequilibrium between SNPs estimated from a reference sample.
Keyword Complex Trait
Genomic relationship
Missing heritability
Variance explained
Q-Index Code BX
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Thu, 25 Jul 2013, 11:17:02 EST by Debra McMurtrie on behalf of Queensland Brain Institute