Document Detail


Genetic dissection methods: designs used for tests of gene-environment interaction.
MedLine Citation:
PMID:  15172665     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Given recent advances in the field of molecular genetics, many have recognized the need to exploit either study designs or analytical methods to test hypotheses with gene-by-environment (G x E) interactions. The partial-collection designs, including case-only, partial case-control, and case-parent trio designs, have been suggested as attractive alternatives to the complete case-control design both for increased statistical efficiency and reduced data needs. However, common problems in genetic epidemiology studies, such as, presence of G x E correlation in the population, population mixture, and genotyping error may reduce the validity of these designs. On the basis of previous simulation studies and empirical data and given the potential limitations and uncertainty of assumptions of partial-collection designs, the case-control design is the optimal choice versus partial-collection designs.
Authors:
Xin Liu; M Daniele Fallin; W H Linda Kao
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Current opinion in genetics & development     Volume:  14     ISSN:  0959-437X     ISO Abbreviation:  Curr. Opin. Genet. Dev.     Publication Date:  2004 Jun 
Date Detail:
Created Date:  2004-06-02     Completed Date:  2004-12-08     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  9111375     Medline TA:  Curr Opin Genet Dev     Country:  England    
Other Details:
Languages:  eng     Pagination:  241-5     Citation Subset:  IM    
Affiliation:
Department of Epidemiology & Biostatistics, University of California, San Francisco, 500 Parnassus Ave, San Francisco, CA 94143-0560, USA.
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MeSH Terms
Descriptor/Qualifier:
Case-Control Studies*
Environment*
Genetic Predisposition to Disease / genetics*
Genotype
Humans
Likelihood Functions
Molecular Epidemiology / methods*
Research Design

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


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