Behavioral Genetics Models
diana
Joined: 04/17/2019
I am wondering if define variables will decrease E and increase A?
I am wondering if too many define variables will decrease E and increase A?
For instance, I want to estimate the heritability of coronary heart disease (CHD), should I adjust all the risk factors of CHD as much as possible, such as smoking, drinking and BMI? I'm afraid that it will overestimate A and underestimate E since I saw a revelent [paper](https://www.ncbi.nlm.nih.gov/pubmed/15520515/).
Many thanks!
Qiuzhi Xie
Joined: 12/27/2018
About the overlap on the genetic and shared environmental factors
I am conducting the Cholesky model and wondering how to judge if two phenotypes significantly overlap on a genetic or environmental factor. It should be judged by the loading factor and the 95% CI, right? In the following example, only the third phenotype (P3) does not significantly overlap with the others on the A1 (genetic) factor, as the lower boundary of the 95% CI is smaller than .00. Am I right?
diana
Joined: 04/17/2019
GxE model for binary variable
Hello! I am trying to fit a GxE model. The phenotype is a binary variable, and the moderator is measured on a 6-point scale .
I want to use the code posted in [there](http://ibg.colorado.edu/cdrom2016/franic/Moderation/Practical/DO_NOT_OPEN_Moderating_covariances_practical_solved.R), but this code is suit for continuous variable and I don't know how to change it to be suit for binary variable. Could you tell me what lines I should change or add?
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JuanJMV
Joined: 07/20/2016
Multivariate ACE-ADE model
Hello,
I am trying to fit a 5-variate model. But I am not sure about the best way to do it.
I have got these results from the univariate analyses
VAR1
ADE 0.34 0.10 0.57
AE 0.42 * 0.58
VAR2
ADE 0.26 0.16 0.58
AE 0.41 * 0.59
VAR3
ACE 0.29 0.13 0.58
AE 0.45 * 0.55
CE * 0.33 0.67
VAR4
ADE 0.23 0.17 0.59
AE 0.39 * 0.61
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diana
Joined: 04/17/2019
Why mxTryHardOrdinal（）dosen't report start values?
Hi, everyone!
When i useSatFit <- mxTryHardOrdinal(SatModel, intervals=TRUE,extraTries = 15,finetuneGradient=FALSE,bestInitsOutput=TRUE) ,the result is Solution found! Final fit=22505.957 (started at 22819.562) (16 attempt(s): 16 valid, 0 errors). I don't know why it dosen't report start values from the best fit.
diana
Joined: 04/17/2019
saturated univariate SEM model of a binary variable
Dear all,
I have some problems of fitting saturated univariate SEM model of a binary variable "whtr_g". I would appreciate it if anyone could help me.
1. I always get warning message when fitting saturated SEM model(see warning message.png), whether using SLSQP, NPSOL or CSOLNP optimizer. What’ more, the result of three optimizers are different. But I don’t know if there are errors in my code. Please help me to check it.
Julia
Joined: 03/29/2012
Moderation model produces weird results
Hi all,
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yaning
Joined: 04/12/2019
How to calculate bivariate h2(or c2, e2) in bivaraite SEM model with two binary traits?
Hi,
I have encountered several problems in doing bivariate SEM models, which is an important part of my graduation project.The main problems are as follows:
Qiuzhi Xie
Joined: 12/27/2018
G*E interaction with a moderator
I am currently doing G*E interaction with SES as a moderator. The plot (attached here) suggests that SES likely moderates with the A factor. To analyze whether the moderation effect is significant on A factor, I drop the moderator on the Path A only and compare the model fit (diffLL). I find that the p value is insignificant. I want to ask whether this is the correct way to see the significance of moderator effect.
Also, is it appropriate to see the unstandardized variance components by SES moderation, rather than the standardized variance components?
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Julia
Joined: 03/29/2012
Nonlinear transformation and estimates
Hi. I have a question about analysis of non-linear transformed variables. I have a continuous variable which is skewed (1.2). Box-Cox transformation suggested 1/y transformation. If I run ACE models (and saturated) on this new variables, how do I interpret and report the results? Is it common to report the estimates for the transformed variable? And is it possible to get the estimates for the original raw variable then?
Thank you in advance!
Julia
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