Buhm Han, Ph.D.
Affiliations: | 2009 | Computer Science and Engineering | University of California, San Diego, La Jolla, CA |
2014- | University of Ulsan College of Medicine |
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"Buhm Han"Bio:
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Sign in to add mentorEleazar Eskin | grad student | 2009 | UCSD (Computer Science Tree) | |
(Effective design and analysis of genetic association studies.) |
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Publications
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Kim EE, Jang CS, Kim H, et al. (2024) PASTRY: achieving balanced power for detecting risk and protective minor alleles in meta-analysis of association studies with overlapping subjects. Bmc Bioinformatics. 25: 24 |
Jung S, Lee CH, Sul JH, et al. (2023) Building an optimal predictive model for imputing tissue-specific gene expression by combining genotype and whole-blood transcriptome data. Hgg Advances. 4: 100223 |
Sakaue S, Gurajala S, Curtis M, et al. (2023) Tutorial: a statistical genetics guide to identifying HLA alleles driving complex disease. Nature Protocols |
Kim C, Kim YJ, Choi W, et al. (2022) Phenome-wide association study of the major histocompatibility complex region in the Korean population identifies novel association signals. Human Molecular Genetics |
Li J, Kong N, Han B, et al. (2021) Rare variants regulate expression of nearby individual genes in multiple tissues. Plos Genetics. 17: e1009596 |
Moll M, Jackson VE, Yu B, et al. (2021) A Systematic Analysis of Protein-altering Exonic Variants in Chronic Obstructive Pulmonary Disease. American Journal of Physiology. Lung Cellular and Molecular Physiology |
Jung S, Ye BD, Lee HS, et al. (2021) Identification of three novel susceptibility loci for inflammatory bowel disease in Koreans in an extended genome-wide association study. Journal of Crohn's & Colitis |
Cook S, Choi W, Lim H, et al. (2021) Accurate imputation of human leukocyte antigens with CookHLA. Nature Communications. 12: 1264 |
Lee CH, Shi H, Pasaniuc B, et al. (2020) PLEIO: a method to map and interpret pleiotropic loci with GWAS summary statistics. American Journal of Human Genetics |
Choi W, Luo Y, Raychaudhuri S, et al. (2020) HATK: HLA Analysis Toolkit. Bioinformatics (Oxford, England) |