Journal article

GCTA: A tool for genome-wide complex trait analysis

J Yang, SH Lee, ME Goddard, PM Visscher

American Journal of Human Genetics | Published : 2011

Abstract

For most human complex diseases and traits, SNPs identified by genome-wide association studies (GWAS) explain only a small fraction of the heritability. Here we report a user-friendly software tool called genome-wide complex trait analysis (GCTA), which was developed based on a method we recently developed to address the "missing heritability" problem. GCTA estimates the variance explained by all the SNPs on a chromosome or on the whole genome for a complex trait rather than testing the association of any particular SNP to the trait. We introduce GCTA's five main functions: data management, estimation of the genetic relationships from SNPs, mixed linear model analysis of variance explained b..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Funding Acknowledgements

We thank Bruce Weir for discussions on the sampling variance of estimators of inbreeding coefficients. We thank Allan McRae and David Duffy for discussions and Anna Vinkhuyzen for software testing. We acknowledge funding from the Australian National Health and Medical Research Council (grants 389892 and 613672) and the Australian Research Council (grants DP0770096 and DP1093900).