National Changhua University of Education Institutional Repository : Item 987654321/14460
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 6507/11669
造访人次 : 30211243      在线人数 : 396
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/14460

题名: Extended Bayesian Model Averaging in Generalized Linear Mixed Models Applied to Schizophrenia Family Data
作者: Tsai, Miao-Yu;Hsiao, Chuhsing K.;Chen, Wei J.
贡献者: 統計資訊研究所
关键词: Bayesian model averaging;Genotype combination;Heritability;Interactions;Multiplex family
日期: 2011-01
上传时间: 2012-10-25T09:04:04Z
出版者: Blackwell Publishing Ltd
摘要: The study of disease etiology and the search for susceptible genes of schizophrenia have attracted scientists’ attention for
decades.Many findings however are inconsistent, possibly due to the higher order interactions involvingmulti-dimensional
genetic and environmental factors or due to the commingling of different ethnic groups. Several studies applied generalized
linear mixed models (GLMMs) with family data to identify the genetic contribution to, and environmental influence
on, schizophrenia, and to clarify the existence and sources of familial aggregation. Based on an extended Bayesian model
averaging (EBMA) procedure, here we estimate the gene-gene (GG) and gene-environment (GE) interactions, and
heritability of schizophrenia via variance components of random-effects in GLMMs. Our proposal takes into account
the uncertainty in covariates and in genetic model structures, where each competing model includes environmental and
genetic covariates, and GE and GG interactions. Simulation studies are conducted to compare the performance of the
EBMA approach, permutation test procedure and GEE method. We also illustrate this approach with data from singleton
and multiplex schizophrenia families. The results indicate that EBMA is a flexible and stable tool in exploring true
candidate genes, and GE and GG interactions, after adjusting for explanatory variables and correlation structures within
family members.
關聯: Annals of Human Genetics, 75(1): 62-77
显示于类别:[統計資訊研究所] 期刊論文

文件中的档案:

档案 大小格式浏览次数
index.html0KbHTML705检视/开启


在NCUEIR中所有的数据项都受到原著作权保护.

 

DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈