Document Detail


A framework for structural equation models in general pedigrees.
MedLine Citation:
PMID:  21212683     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Background/Aims: Structural Equation Modeling (SEM) is an analysis approach that accounts for both the causal relationships between variables and the errors associated with the measurement of these variables. In this paper, a framework for implementing structural equation models (SEMs) in family data is proposed. Methods: This framework includes both a latent measurement model and a structural model with covariates. It allows for a wide variety of models, including latent growth curve models. Environmental, polygenic and other genetic variance components can be included in the SEM. Kronecker notation makes it easy to separate the SEM process from a familial correlation model. A limited information method of model fitting is discussed. We show how missing data and ascertainment may be handled. We give several examples of how the framework may be used. Results: A simulation study shows that our method is computationally feasible, and has good statistical properties. Conclusion: Our framework may be used to build and compare causal models using family data without any genetic marker data. It also allows for a nearly endless array of genetic association and/or linkage tests. A preliminary Matlab program is available, and we are currently implementing a more complete and user-friendly R package.
Authors:
Nathan J Morris; Robert C Elston; Catherine M Stein
Related Documents :
21339383 - Defining hospital anxiety and depression scale (hads) structure by confirmatory factor ...
21381873 - Measurement of jaw motion: the proposal of a simple and accurate method.
11343363 - Probabilistic population estimation of the size and overlap of data sets based on date ...
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2011-01-06
Journal Detail:
Title:  Human heredity     Volume:  70     ISSN:  1423-0062     ISO Abbreviation:  Hum. Hered.     Publication Date:  2010  
Date Detail:
Created Date:  2011-02-21     Completed Date:  2012-02-08     Revised Date:  2013-07-03    
Medline Journal Info:
Nlm Unique ID:  0200525     Medline TA:  Hum Hered     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  278-86     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 S. Karger AG, Basel.
Affiliation:
Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA. njm18@case.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Adolescent
Computer Simulation
Feasibility Studies
Genetic Linkage
Humans
Models, Genetic*
Models, Statistical*
Pedigree*
Platelet Count
Grant Support
ID/Acronym/Agency:
CA094186/CA/NCI NIH HHS; KL2RR024990/RR/NCRR NIH HHS; P30 CAD43703//PHS HHS; P41 RR03655/RR/NCRR NIH HHS; R01 HL096811/HL/NHLBI NIH HHS; R01 HL096811/HL/NHLBI NIH HHS; T32 HL0756/HL/NHLBI NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Contact with Human Facilities Appears to Enhance Technical Skills in Wild Vervet Monkeys (Chlorocebu...
Next Document:  Simulating sequences of the human genome with rare variants.