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BMC Proceedings|December 19, 2009
Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart StudySandra Waaijenborg, Aeilko H ZwindermanBMC Proceedings|December 19, 2009
Genetic association studies and the effect of misclassification and selection bias in putative confoundersChristy L Avery, Keri L Monda, Kari E NorthBMC Proceedings|December 19, 2009
Transmission-ratio distortion in the Framingham Heart StudyAndrew D Paterson, Daryl Waggott, Arne Schillert, et al.BMC Proceedings|December 19, 2009
Combining least absolute shrinkage and selection operator (LASSO) and principal-components analysis for detection of gene-gene interactions in genome-wide association studiesGina M D'Angelo, Dc Rao, C Charles GuBMC Proceedings|December 19, 2009
Evaluation of single-nucleotide polymorphism imputation using random forestsDaniel F Schwarz, Silke Szymczak, Andreas Ziegler, et al.BMC Proceedings|December 19, 2009
The difficulties of reproducing conventionally derived results through 500k-chip technologyHans H Stassen, Katrin Hoffmann, Christian ScharfetterBMC Proceedings|December 19, 2009
Identification of genes and haplotypes that predict rheumatoid arthritis using random forestsRui Tang, Jason P Sinnwell, Jia Li, et al.BMC Proceedings|December 19, 2009
Single versus multiple imputation for genotypic dataBrooke L Fridley, Shannon K McDonnell, Kari G Rabe, et al.BMC Proceedings|December 19, 2009
Tests for candidate-gene interaction for longitudinal quantitative traits measured in a large cohortDörthe Malzahn, Yesilda Balavarca, Jingky P Lozano, et al.BMC Proceedings|December 19, 2009
Assessment of gene-covariate interactions by incorporating covariates into association mappingYen-Feng Chiu, Hui-Yi Kao, Yi-Shin Chen, et al.Pageof 101