Behavioral Genetics Models
Cholesky with latent traits
The d- and e-variables are ordinal (d = 2 categories; e = 3 categories). The s-variable is continuous and in order to integrate it into the LISREL-matrices I define a single factor measurement model with the residual variance set to 0 and the factor loading to 1.
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What Things Should I Carry When Migrating from India to Australia?
Univariate ACE model for a binary variable
Does anyone have an OpenMx script for running a Univariate ACE model for a binary variable? I would like to determine the proportion of variance accounted for by additive genetic, shared, and unique environment for a binary variable that indicates whether someone is or is not a member of a certain class of psychopathology.
Thank you in advance!
Emily
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RAM Cholesky Decomposition
I am playing around with different kinds of twin models which I try to implement using the RAM-matrix approach, but not defining the expectation object with mxExpectationRAM(), but with mxExpectationNormal(). My idea is to create the A, S (one for MZs and one for DZs) and F matrices as well as the Identity matrix with the mxMatrix() functions and then creating the expected covariance matrices for MZs and DZs with the mxAlgebra() function following the RAM matrix formula.
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Large multivariate ACE-model with less parameters?
I am currently interested in understanding how well a large amount of variables (20-40) which do not represent a construct in the psychometric sense but can be broadly viewed as a certain class of influences explains an outcome in comparison to another set of variables. On the phenotypical level this is quite straight forward - I can fit regression models and look at (incremental) R2-values or train a LASSO or something similar on a training set to compare the predicted R2's on the validation set.
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Help with thinking about a non-trivial GxE twin model
On a phenotypic level, I'm testing a model where Trait1 is moderating the effect of environment on Trait2.
However, when wanting to test my model within a genetic level, I'm having trouble to figure out what model I can use that will be most similar to the claim I have within the phenotypic level.
I can test whether my environmental factor moderates the genetic effects of Trait2 (with a GxE twin model). But this misses the part where Trait1 (which is highly heritable), moderates the association (or maybe the moderation?).
Longitudinal modeling with extended twin design
I have a couple of questions regarding my research and I would really appreciate getting some feedback if my undertaking is reasonable.
I am investigating stability of a political phenotype in a two-wave panel design. I'm including not only twins in my analysis, but also one non-twin full sibling. The scripts are standing and working (verified with replication).
GxE with ordinal manifest in RAM
I'm trying to build a Purcell style GxE model in RAM. I have not found any script for this so I created it from scratch. Right now I have a two ordinal manifests (twin 1, twin 2, same phenotype, 4 cats, 3threshs). The moderator will be continuous in the end. However, right now for experimental reasons I have created a binary moderator (sex) for me to easily check if my model does produce accurate results.
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