... | ... | @@ -69,7 +69,7 @@ An example of a [large data set](https://gitlab.gwdg.de/beate.stpourcain/grmsem_ |
|
|
* [Bivariate heritabilities](Bivariate heritabilities)
|
|
|
|
|
|
## Comparison of bi-variate GCTA and GSEM estimates
|
|
|
The software [gcta](https://cnsgenomics.com/software/gcta/) [@Yang2011] can be used to estimate bivariate genetic correlations based on variance/covariance estimates for two traits. Transforming the quad-variate simulated data `large` gsem data above into GCTA format (`large.gcta.grm.gz`,`large.gcta.phe`, `large.gcta.grm.id`), the bivariate model estimates from `GREML` and `grmsem` analyses can be compared, here shown for traits Y1 and Y2.
|
|
|
The software [gcta](https://cnsgenomics.com/software/gcta/) [@Yang2011] can be used to estimate bivariate genetic correlations based on variance/covariance estimates for two traits. Transforming the quad-variate simulated data `large` gsem data above into GCTA format (`large.gcta.grm.gz`,`large.gcta.phe`, `large.gcta.grm.id`), the bivariate model estimates from `GREML` and `grmsem` analyses can be compared, [here shown for traits Y1 and Y2](GCTA GSEM model comparison).
|
|
|
|
|
|
# References
|
|
|
|
... | ... | |