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BMC Proceedings|December 19, 2009
Influence of control selection in genome-wide association studies: the example of diabetes in the Framingham Heart StudyDelphine D Fradin, M Daniele FallinBMC Proceedings|December 19, 2009
Copy number variation in the Framingham Heart StudyCorina Shtir, Roger Pique-Regi, Kim Siegmund, et al.BMC Proceedings|December 19, 2009
A search for non-chromosome 6 susceptibility loci contributing to rheumatoid arthritisBrian K Suarez, Robert Culverhouse, Carol H Jin, et al.BMC Proceedings|December 19, 2009
Data for Genetic Analysis Workshop 16 Problem 1, association analysis of rheumatoid arthritis dataChristopher I Amos, Wei Vivien Chen, Michael F Seldin, et al.BMC Proceedings|December 19, 2009
Comparison between the stochastic search variable selection and the least absolute shrinkage and selection operator for genome-wide association studies of rheumatoid arthritisSudeep Srivastava, Liang ChenBMC Proceedings|December 19, 2009
Comparison between single-marker analysis using Merlin and multi-marker analysis using LASSO for Framingham simulated dataYun Ju Sung, Treva K Rice, Gang Shi, et al.BMC Proceedings|December 19, 2009
Assessment of genotype imputation methodsJoanna M Biernacka, Rui Tang, Jia Li, et al.BMC Proceedings|December 19, 2009
Genome-wide association analysis of Framingham Heart Study data for the Genetics Analysis Workshop 16: effects due to medication useTreva K Rice, Yun Ju Sung, Gang Shi, et al.BMC Proceedings|December 19, 2009
Different models and single-nucleotide polymorphisms signal the simulated weak gene-gene interaction for a quantitative trait using haplotype-based and mixed models testingIlija P Kovac, Marie-Pierre DubéBMC Proceedings|December 19, 2009
Classification tree for detection of single-nucleotide polymorphism (SNP)-by-SNP interactions related to heart disease: Framingham Heart StudyLi Yao, Wenjun Zhong, Zhumin Zhang, et al.Pageof 101