Behavioral Genetics Models
How to fix the genetic correlation larger than 1
In the ACE model, Ra=1.37 ,Rc=-0.04, Re=0.22.
Then I fitted ADE model, Ra=0.07, Rd=NA, Re=0.22.
The results of the goodness-of-fit test between saturated model and ACE or ADE are as follows.
CI is confusing
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ACE with moderator-help interpreting results
1. Are the estimates of T,U,V the moderated components? (often denoted by betas)
2. If the estimate for a certain parameter is not zero, yet the CI contains zero- does this imply that this component is not significant?
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Error in output
Error found in rectangular data; record number 1 :
1004 -999 -999 -999 -999 -999
We have a problem whose error code is 176
and which I ran across at line number 38
of your input script
RE FILE=AGE11DATA.DAT
~~~
An error has occurred while reading a rectangular file
Make sure that you *don't* have a FORMAT at the beginning
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Difference between optimizers
Here is the sat part, if it helps:
#sat model, rmz, rdz:
PathMZ <- mxMatrix("Lower",nrow = 2,ncol = 2,free = TRUE,values=starting_value_pathcoeff,name = "PathMZ")#cholesky for pos definitness
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direct comparison between traits' heritability with no raw data
I am trying to conduct a meta-analysis on the heritability of two traits that are different, yet related (I found six studies in which the twins were measured in both traits).
From what I know, in order to directly compare between the two traits heritability, I need to enter them in the same model, and for that, I need either the raw data or the full correlation matrix (and I have neither).
Multivariate ACE Vs. Multilevel Model
I'm trying to understand the relationship between multivariate ACE models (e.g., Cholesky model fit to two phenotypes) and multilevel behavior genetic models. Is there a formal comparison somewhere?
My sense is that multivariate ACE models conflate within and between pair variance. A and C could capture within and between effects while E captures the within pair effects. E will map right onto the within pair effect in the multilevel model (MLM). Is all this correct?
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nuclear twin family design in OpenMx
I am trying to fix a Nuclear Twin Family model in OpenMx.
Genetic and environmental parameter estimates in my model are obtained from four pieces of information, the covariance between MZ twins, the covariance between DZ twins and the covariance between parents and the covariance between parents and children.
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Assumptions bivariate ACE twin model
I am planning to do bivariate ACE modelling using IQ and brain imaging derived measures and I would be very grateful if you could help me answer a few questions regarding the general assumptions for this type of modelling.
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Saturated vs ACE model- different correlations
I am trying to fit a univariate model.
I fitted the saturated model first and I got correlations of 0.64 and 0.34 for MZ and DZ respectively.
However, when I fitted the ACE model, I got these results:
A=0.04
C=0.52
E=0.44
So, I decided to check the correlations from the ACE model and I got 0.56 and 0.54 for MZ and DZ respectively.
I know that correlations may change from the ACE to the saturated model. However, these differences are huge.
Pagination
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