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BMC Proceedings|December 19, 2014
Gene-based analysis of rare and common variants to determine association with blood pressureXiaofeng Liu, Joseph BeyeneBMC Proceedings|December 19, 2014
A penalized linear mixed model for genomic prediction using pedigree structuresCan Yang, Cong Li, Mengjie Chen, et al.BMC Proceedings|December 19, 2014
Considering interactive effects in the identification of influential regions with extremely rare variants via fixed bin approachMichael Agne, Chien-Hsun Huang, Inchi Hu, et al.BMC Proceedings|December 19, 2014
Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approachOsvaldo Espin-Garcia, Xiaowei Shen, Xin Qiu, et al.BMC Proceedings|December 19, 2014
Genetic association analysis using weighted false discovery rate approach on Genetic Analysis Workshop 18 dataXin Qiu, Xiaowei Shen, Osvaldo Espin-Garcia, et al.BMC Proceedings|December 19, 2014
Prediction of hypertension based on the genetic analysis of longitudinal phenotypes: a comparison of different modeling approaches for the binary trait of hypertensionYun-Hee Choi, Rafiqul Chowdhury, Balakumar SwaminathanBMC Proceedings|December 19, 2014
Comparing baseline and longitudinal measures in association studiesShuai Wang, Wei Gao, Julius Ngwa, et al.BMC Proceedings|December 19, 2014
A multi-level model for analyzing whole genome sequencing family data with longitudinal traitsTaoye Chen, Patchara Santawisook, Zheyang WuBMC Proceedings|December 19, 2014
Association analysis of whole genome sequencing data accounting for longitudinal and family designsYijuan Hu, Qin Hui, Yan V SunBMC Proceedings|December 19, 2014
Entropy-based method for assessing the influence of genetic markers and covariates on hypertension: application to Genetic Analysis Workshop 18 dataJun Liu, Joseph BeyenePageof 101