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/ firstname.lastname@example.org Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator. Every sub-attribute is selected Not all sub-attributes are selected Fill Clear Expand Collapse Reset Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s). Can't Find the Attribute You Are Looking For?
If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the
Additional Comment box of the Submit tab. Summary of Proposed Changes Current Citations/Applications
GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet,
https://www.ncbi.nlm.nih.gov/pubmed/?term=21167468, Primary Citation