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GCTA: a tool for genome-wide complex trait analysis.

来自 掌桥科研

阅读量：

1193

作者：

J Yang，SH Lee，ME Goddard，PM Visscher

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摘要：

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 by the SNPs, estimation of the linkage disequilibrium structure, and GWAS simulation. We focus on the function of estimating the variance explained by all the SNPs on the X chromosome and testing the hypotheses of dosage compensation. The GCTA software is a versatile tool to estimate and partition complex trait variation with large GWAS data sets.

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关键词：

Chromosomes, Human, X Humans Polymorphism, Single Nucleotide Quantitative Trait Loci Models, Genetic Computer Simulation Software Dosage Compensation, Genetic Female Male

DOI：

10.1016/j.ajhg.2010.11.011

被引量：

3907

年份：

2011

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来源期刊

American Journal of Human Genetics
7 January 2011

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被引量：612

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