Motivated by examples from genetic association studies, this article considers the model selection problem in a general complex linear model system and in a Bayesian framework. We discuss formulating model selection problems and incorporating context-dependent a priori information through different levels of prior specifications. We also derive analytic Bayes factors and their approximations to...

AIM To estimate the association of vascular endothelial growth factor A (VEGFA) +936C/T and -634G/C polymorphisms and gastric cancer (GC) risk, a meta-analysis was performed. A total of nine studies were identified with 2,281 GC cases and 2,820 controls. This meta-analysis indicated significant associations between the VEGFA -634G/C polymorphism and GC risk were found for GC versus GG (OR 1.21,...

due to the heterogeneous nature of granular soils and the involvement of many effective parameters in the geotechnical behavior of soil-foundation systems, the accurate prediction of shallow foundation settlements on cohesionless soils is a complex engineering problem. in this study, three new evolutionary-based techniques, including evolutionary polynomial regression (epr), classical genetic p...

Simulated small pedigrees (2 parents, 4 offspring) were used to illustrate the applications and limitations of a "model choice" approach designed to detect genetic heterogeneity in familial diseases. While it is possible to identify groups of pedigrees which have different genetic causes for quanitative phenotypic trait(s), theoretical limitations on discriminating between 4 single locus models...