Genome-wide Complex Trait Analysis Long Description (required)
GCTA (Genome-wide Complex Trait Analysis) was originally designed to estimate the proportion of phenotypic variance explained by genome- or chromosome-wide SNPs for complex traits (the GREML method), and has subsequently extended for many other analyses to better understand the genetic architecture of complex traits. GCTA currently supports the following functionalities: 1) Estimate the genetic relationship from genome-wide SNPs; 2) Estimate the inbreeding coefficient from genome-wide SNPs; 3) Estimate the variance explained by all the autosomal SNPs; 3) Partition the genetic variance onto individual chromosomes; 4) Estimate the genetic variance associated with the X-chromosome; 5) Test the effect of dosage compensation on genetic variance on the X-chromosome; 6) Predict the genome-wide additive genetic effects for individual subjects and for individual SNPs; 7) Estimate the LD structure encompassing a list of target SNPs; 8) Simulate GWAS data based upon the observed genotype data; 9) Convert Illumina raw genotype data into PLINK format; 10) Conditional & joint analysis of GWAS summary statistics without individual level genotype data; 11) Estimating the genetic correlation between two traits (diseases) using SNP data; 12) Mixed linear model association analysis http://cnsgenomics.com/software/gcta/ jian.yang@uq.edu.au
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Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 21167468 ],
Yang J, Lee SH, Goddard ME, Visscher PM ,
GCTA: a tool for genome-wide complex trait analysis. ,
Am J Hum Genet ,
01-07-2011 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=21167468, Primary Citation
[Pubmed ID: 37653442 ],
He Z, Liu R, Wang M, Wang Q, Zheng J, Ding J, Wen J, Fahey AG, Zhao G ,
Combined effect of microbially derived cecal SCFA and host genetics on feed efficiency in broiler chickens. ,
Microbiome ,
09-01-2023 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=37653442, , Application
[Pubmed ID: 37660101 ],
Xie L, Qin J, Rao L, Cui D, Tang X, Chen L, Xiao S, Zhang Z, Huang L ,
Genetic dissection and genomic prediction for pork cuts and carcass morphology traits in pig. ,
J Anim Sci Biotechnol ,
09-03-2023 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=37660101, , Application