Gyungah Jun, PhD
|Title||Adjunct Assistant Professor|
|Institution||Boston University School of Medicine|
|Address||72 E. Concord St Instructional (L)|
Boston MA 02118
Dr. Jun has worked in a broad spectrum of medical fields including wet-lab based researches including purification and characterization of a B-lymphocyte inducing factor (BIF) using single cell cloning of human myeloma cell line and mouse models and establishment of human neuronal cell lines, and dry-lab (computational) researches including development of DNA pattern recognition program, investigation of loci involved in progression of type 2 diabetes, genome-wide linkage and association analyses for druse formation, age-related macular degeneration, cataract, and diabetic nephropathy using worldwide longitudinal cohorts, and identification of causal variants in an axon guidance molecule for age-related cortical cataract using targeted sequencing projects. She has also been involved in large genetics consortiums for diabetic nephropathy, age-related macular degeneration, age-related cataract, and Alzheimer’s disease. In these collaborative efforts, much of her work is engaged in study design, development of analysis plan, database development and management, implementation of statistical methods, and translational study design for drug discovery. Her current projects encompass multidisciplinary areas: (1) identify early biomarkers for Alzheimer disease in lens by identifying shared genetic markers for eye and brain related neurodegenerative phenotypes using sequencing and genome-wide linkage and association studies, (2) screen potential drug targets and risk screening tools for Alzheimer disease by investigating genetic architecture of DNA and mRNA from genes in axon guidance molecules, (3) discover causal mutations for idiopathic membranous nephropathy by sequencing candidate genes from multiethnic groups of subjects, (4) develop novel analytical and bioinformatics tools for bivariate framework on gene-gene and gene-environment interaction analyses, and (5) lead statistical analysis groups for international and nation-wide consortia for Alzheimer disease and eye diseases using genome-wide association data, whole exome and whole genome sequencing projects.
Develop large consortium database
- Computational Biology
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