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BMC Proceedings|September 29, 2018
Genome-wide association study for multiple phenotype analysisXuan Deng, Biqi Wang, Virginia Fisher, et al.BMC Proceedings|September 29, 2018
Integrating epigenetic, genetic, and phenotypic data to uncover gene-region associations with triglycerides in the GOLDN studyRazvan G Romanescu, Osvaldo Espin-Garcia, Jin Ma, et al.BMC Proceedings|October 3, 2018
Investigating potential causal relationships between SNPs, DNA methylation and HDLLai Jiang, Kaiqiong Zhao, Kathleen Klein, et al.BMC Proceedings|October 3, 2018
Direct and indirect genetic effects on triglycerides through omics and correlated phenotypesAnne E Justice, Annie Green Howard, Lindsay Fernández-Rhodes, et al.BMC Proceedings|October 3, 2018
Network analysis of drug effect on triglyceride-associated DNA methylationElise Lim, Hanfei Xu, Peitao Wu, et al.BMC Proceedings|October 3, 2018
Genome-wide analysis in multiple-case families: assessing the relationship between triglyceride and methylationAngga M Fuady, Renaud L M Tissier, Jeanine J Houwing-DuistermaatBMC Proceedings|October 3, 2018
Data for GAW20: genome-wide DNA sequence variation and epigenome-wide DNA methylation before and after fenofibrate treatment in a family study of metabolic phenotypesStella Aslibekyan, Laura Almasy, Michael A Province, et al.BMC Proceedings|October 3, 2018
Using penalized regression to predict phenotype from SNP dataSvetlana Cherlin, Richard A J Howey, Heather J CordellBMC Proceedings|October 3, 2018
Transmission-based association mapping of triglyceride levels in a longitudinal framework using quasi-likelihoodHemant Kulkarni, Indranil Mukhopadhyay, Saurabh GhoshBMC Proceedings|October 3, 2018
Identifying fenofibrate responsive CpG sitesRita Cantor, Linda Navarro, Calvin PanPageof 102