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文章基本信息

  • 标题:Statistical inference of biometrical genetic model with cultural transmission
  • 作者:Xiaobo Guo ; Tian Jin ; Xueqin Wang
  • 期刊名称:Statistics and Its Interface
  • 印刷版ISSN:1938-7989
  • 电子版ISSN:1938-7997
  • 出版年度:2013
  • 卷号:6
  • 期号:1
  • 页码:91-98
  • DOI:10.4310/SII.2013.v6.n1.a9
  • 出版社:International Press
  • 摘要: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.
  • 关键词:twin and family study; biometrical genetic model; cultural transmission; biometrical genetic model; identifiability; likelihood ratio test; mixed effects model
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