Article

Potential bias in generalized estimating equations linkage methods under incomplete information

Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
Genetic Epidemiology (impact factor: 3.44). 12/2005; 30(1):94 - 100. DOI:10.1002/gepi.20097 pp.94 - 100

ABSTRACT The mean identity-by-descent (IBD) specification used in the Generalized Estimating Equations (GEE) methodology for linkage is only valid, strictly speaking, under the assumption of fully polymorphic markers. In practice, markers often provide only partial IBD information, which can potentially result in inconsistency of the locus location and gene effect estimates obtained by the GEE method. Using both simulations and theory, we identify some realistic conditions about marker information under which the validity of the GEE linkage methods may be arguable. Namely, researchers should not trust the GEE parameters' estimates and their associated confidence intervals in areas of the genome where IBD information is sparse or when this information changes abruptly. We show that properly standardized statistics based on IBD sharing provide a valid alternative. Genet. Epidemiol. 2006. © 2005 Wiley-Liss Inc.

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Keywords

associated confidence intervals
 
Equations
 
GEE
 
GEE linkage methods
 
GEE method
 
GEE parameters' estimates
 
gene effect estimates
 
Generalized
 
Genet
 
IBD
 
IBD information
 
IBD sharing
 
inconsistency
 
linkage
 
mean identity-by-descent
 
partial IBD information
 
realistic conditions
 
researchers
 
standardized statistics
 
valid alternative