From SNIC Documentation
GCTA (Genome-wide Complex Trait Analysis) is designed to estimate the proportion of phenotypic variance explained by genome- or chromosome-wide SNPs for complex traits. GCTA was developed by Jian Yang, Hong Lee, Mike Goddard and Peter Visscher and is maintained in Peter Visscher's lab at the Queensland Institute of Medical Research . GCTA currently supports the following functionalities:
- Estimate the genetic relationship from genome-wide SNPs;
- Estimate the inbreeding coefficient from genome-wide SNPs;
- Estimate the variance explained by all the autosomal SNPs;
- Partition the genetic variance onto individual chromosomes;
- Estimate the genetic variance associated with the X-chromosome;
- Test the effect of dosage compensation on the X-chromosome;
- Predict the genome-wide additive genetic effects for individual subjects and for individual SNPs;
- Estimate the LD structure encompassing a list of target SNPs;
- Simulate GWAS data based upon the observed genotype data.
- Convert Illumina raw genotype data into PLINK PED format.
|Kalkyl||UPPMAX||cluster resource of about 21 TFLOPS|
Tips and tricks
License: No licensing information available.
Any further license particularities (such as site licenses) are succinctly described here.
ExpertsNo experts have currently registered expertise on this specific subject. List of registered field experts:
|Field||AE FTE||General activities|
|Henric Zazzi (PDC)||PDC||Bioinformatics||100100||Bioinformatics Application support|
|Joel Hedlund (NSC)||NSC||Bioinformatics||00|
|Martin Dahlö (UPPMAX)||UPPMAX||Bioinformatics||1010||Bioinformatic support|