| Literature DB >> 24660046 |
Xiaobo Guo1, Tian Ji2, Xueqin Wang3, Heping Zhang4, Shouqiang Zhong5.
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.Entities:
Keywords: Biometrical Genetic model; Cultural transmission; Identifiability; Likelihood ratio test; Mixed-effects model; Twin and family study
Year: 2013 PMID: 24660046 PMCID: PMC3959174 DOI: 10.4310/SII.2013.v6.n1.a9
Source DB: PubMed Journal: Stat Interface ISSN: 1938-7989 Impact factor: 0.582