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Yun Ju Sung

Showing results (1-10 of 130) with videos related to

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BMC Proceedings|December 19, 2014
Rare variant analysis of blood pressure phenotypes in the Genetic Analysis Workshop 18 whole genome sequencing data using sequence kernel association testCates Mallaney, Yun Ju Sung
Genetic Epidemiology|November 20, 2009
Multistage analysis strategies for genome-wide association studies: summary of group 3 contributions to Genetic Analysis Workshop 16Rosalind J Neuman, Yun Ju Sung
Genetic Epidemiology|March 28, 2008
Model-based linkage analysis with imprinting for quantitative traits: ignoring imprinting effects can severely jeopardize detection of linkageYun Ju Sung, D C Rao
Human Heredity|February 7, 2007
Accounting for epistasis in linkage analysis of general pedigreesYun Ju Sung, Ellen M Wijsman
BMC Proceedings|December 19, 2014
Whole genome sequence analysis of the simulated systolic blood pressure in Genetic Analysis Workshop 18 family data: long-term average and collapsing methodsYun Ju Sung, Jacob Basson, Dabeeru C Rao
Genetic Epidemiology|November 24, 2006
MCMC-based linkage analysis for complex traits on general pedigrees: multipoint analysis with a two-locus model and a polygenic componentYun Ju Sung, Elizabeth A Thompson, Ellen M Wijsman
BMC Proceedings|March 1, 2012
Application of collapsing methods for continuous traits to the Genetic Analysis Workshop 17 exome sequence dataYun Ju Sung, Treva K Rice, Dabeeru C Rao
Genetic Epidemiology|December 1, 2011
Identification of genetic association of multiple rare variants using collapsing methodsYan V Sun, Yun Ju Sung, Nathan Tintle, et al.
Human Heredity|January 4, 2012
Performance of genotype imputations using data from the 1000 Genomes ProjectYun Ju Sung, Lihua Wang, Tuomo Rankinen, et al.
Frontiers in Genetics|December 31, 2013
Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9Jeannette Simino, Yun Ju Sung, Rezart Kume, et al.
Pageof 13

Showing results (1-10 of 130) with videos related to

Sort By:
Pageof 13
BMC Proceedings|December 19, 2014
Rare variant analysis of blood pressure phenotypes in the Genetic Analysis Workshop 18 whole genome sequencing data using sequence kernel association testCates Mallaney, Yun Ju Sung
Genetic Epidemiology|November 20, 2009
Multistage analysis strategies for genome-wide association studies: summary of group 3 contributions to Genetic Analysis Workshop 16Rosalind J Neuman, Yun Ju Sung
Genetic Epidemiology|March 28, 2008
Model-based linkage analysis with imprinting for quantitative traits: ignoring imprinting effects can severely jeopardize detection of linkageYun Ju Sung, D C Rao
Human Heredity|February 7, 2007
Accounting for epistasis in linkage analysis of general pedigreesYun Ju Sung, Ellen M Wijsman
BMC Proceedings|December 19, 2014
Whole genome sequence analysis of the simulated systolic blood pressure in Genetic Analysis Workshop 18 family data: long-term average and collapsing methodsYun Ju Sung, Jacob Basson, Dabeeru C Rao
Genetic Epidemiology|November 24, 2006
MCMC-based linkage analysis for complex traits on general pedigrees: multipoint analysis with a two-locus model and a polygenic componentYun Ju Sung, Elizabeth A Thompson, Ellen M Wijsman
BMC Proceedings|March 1, 2012
Application of collapsing methods for continuous traits to the Genetic Analysis Workshop 17 exome sequence dataYun Ju Sung, Treva K Rice, Dabeeru C Rao
Genetic Epidemiology|December 1, 2011
Identification of genetic association of multiple rare variants using collapsing methodsYan V Sun, Yun Ju Sung, Nathan Tintle, et al.
Human Heredity|January 4, 2012
Performance of genotype imputations using data from the 1000 Genomes ProjectYun Ju Sung, Lihua Wang, Tuomo Rankinen, et al.
Frontiers in Genetics|December 31, 2013
Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9Jeannette Simino, Yun Ju Sung, Rezart Kume, et al.
Pageof 13