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Statistical Inference of Biometrical Genetic Model With Cultural Transmission
Xiaobo Guo1, Tian Ji2, Xueqin Wang3
1Department of Statistical Science School of Mathematics and Computational Science, Sun Yat-Sen University, Guangzhou, 510275, China.
Abstract:
Twin and family studies establish the foundation for studying the genetic, environmental and cultural transmission effects for phenotypes. In this work, we make use of the well established statistical methods and theory for mixed models to assess cultural transmission in twin and family studies. Specifically, we address two critical yet poorly understood issues: the model identifiability in assessing cultural transmission for twin and family data and the biases in the estimates when sub-models are used. We apply our models and theory to two real data sets. A simulation is conducted to verify the bias in the estimates of genetic effects when the working model is a sub-model.
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