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Lee S, Choi S, Qiao D, Cho M, Silverman EK, Park T, Won S, 2018: WISARD: workbench for integrated superfast association studies for related datasets. BMC Medical Genomics
Jun G, Manning A, Almeida M, ..., Park T, ..., Abecasis GR, Blangero J, 2018: Evaluating the contribution of rare variants to type 2 diabetes and related traits using pedigrees. PNAS
Kim YJ, Huh I, Kim JY, Park S, Ryu SH, Kim KB, Kim S, Park T, Kwon O, 2017: Integration of Traditional and Metabolomics Biomarkers Identifies Prognostic Metabolites for Predicting Responsiveness to Nutritional Intervention against Oxidative Stress and Inflammation. Nutrients
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Lee S, Park T, Park M , 2016: Principal variable approach to multipurpose SNP selectionin genetic association studies. International Journal of Data Mining and Bioinformatics
Kim SE, Choo J, Yoon J, Chu JR, Bae YJ, Lee S, Park T, Sung MK, 2017: Genome-wide analysis identifies colonic genes differentially associated with serum leptin and insulin concentrations in C57BL/6J mice fed a high-fat diet. PLoS One
Im J, Ahn E, Beck N, Kim JK, Park T, 2017: Correlation estimation with singly truncated bivariate data. Stat Med
Lee HS and Park T, 2017: Pathway-Driven Approaches of Interaction between Oxidative Balance and Genetic Polymorphism on Metabolic Syndrome. Oxidative Medicine and Cellular Longevity
Wang L, Choi S, Lee S, Park T and Won S, 2017: Comparing family-based rare variant association tests for dichotomous phenotypes. BMC Proceedings
Kim YJ, Lee J, Kim BJ; T2D-Genes Consortium, Park T, 2017: PreCimp : Pre-collapsing Imputation approach increases imputation accuracy of rare variants in terms of collapsed variables. Genetic Epidemiology
Yun Y-M, Song J, Ji M, Kim J-H, Kim Y, Park T, Song SH, Park S , Kim MJ, Nho SJ, Oh KW, 2017: Calibration of High-Density Lipoprotein Cholesterol Values From the Korea National Health and Nutrition Examination Survey Data, 2008 to 2015. Ann Lab Med