Donghe Li, Ph.D.

Donghe Li, Ph.D.

Post-Doctoral Associate, Biomedical Genetics, BUSM
Seoul National University – Seoul | S. Korea

Ph.D. in Interdisciplinary Program of Bioinformatics – Feb. 2020
Chung-Ang University – Seoul | S. Korea

M.S. in Department of Statistics – Aug. 2014
Yanbian University – China

B.S. in Department of Statistics – Aug. 2010
Chonnam National University – Gwangju | S. Korea

Exchange Student in Department of Statistics & Mathematics – Mar. 2008 ~ Feb. 2009

Research Interests

During the Ph.D. periods, I have had opportunities to be involved in several genetic research projects, which include different genetic research methods for different complex diseases. I have worked on gene-gene interaction analysis on Type 2 diabetes, performed segregation analysis to find the genetic model for breast cancer, constructed genomic data analysis pipelines which include imputation and variant calling, performed genome-wide association analysis, identified the progressive effect of SNPs on longitudinal lung function, and APOE stratification analysis with Alzheimer’s disease data.

My current research interests include quantifying genetic effects by applying statistical methods for longitudinal data analysis of Alzheimer’s disease and implementing family-based genetic methods to investigate Alzheimer’s disease.

Research Projects

1. Development of a Risk Prediction Model for the Breast Cancer in Korea Population based on the Family History of Diseases
– Compared imputation tools and INDEL calling tools for family-based genetic data
– Performed segregation analysis to find genetic model for the breast cancer in Korea population
Dec. 2014 – Jun. 2017

2. Advanced quality control system to long term pediatric respiratory and allergy cohort data
– Systematic management data for long-term pediatric respiratory and allergy
– Establishment of big data-based cohort data imputation algorithm and preparing countermeasures against missing values.
– Enhancement of cohort data integration system reflecting mid/long term cohort data collection plan.
Dec. 2016 – Jan. 2018

3. Implementing Compositional Platform for Pharmacogenomic Knowledge-based Analysis
– Construction of genomic data analysis pipeline (INDEL calling pipeline)
– Performed phenome-wide association analysis and heritability estimation.
Dec. 2016 – Nov. 2018

4. Family-based Analysis with National Institute on Aging Late-Onset Alzheimer’s Disease (NIA-LOAD) Study dataset (Boston University)
– Conducted genome wide association study
– Genome-wide association study implicates EPHA6 for Alzheimer’s disease in Family-based analysis
Aug. 2018 – Jan. 2019

5. Identifying Progressive effect of SNPs on Korean Longitudinal Lung Function Data
– Heritability estimation with all and subgroup data
– Performed genome wide association analysis
Feb. 2019 – Present

6. APOE Stratification Analysis with Chosun University Dataset (Choson University and Boston University)
– Conducted genome wide association study
Mar. 2019 – Present


Journal Articles
1. Donghe Li, Sungho Won “Efficient strategy to Identify Gene-Gene Interactions and Its Application to Type 2 Diabetes”, Genomics Inform, 2016.

2. Donghe Li, Wonji Kim, Longfei Wang, Kyong-Ah Yoon, Boyoung Park, Charny Park, Sun-Young Kong, Yongdeuk Hwang, Daehyun Baek, Eun Sook Lee, and Sungho Won “Comparison of INDEL Calling Tools with Simulation Data and Real Short-Read Data”, Transactions on Computational Biology and Bioinformatics (TCBB), 2018.

3. Donghe Li, Sanghun Lee, Sungho Won “Progressive effect of single-nucleotide polymorphisms on 16 Phenotypic Traits with Longitudinal Data” (Genes & Genomics), 2020.

4. Hwan Soo Kim, In Sook Sol, Donghe Li, Miyoung Choi, Yun Jung Choi, Kyung Suk Lee, Ju Hee Seo, Yong Ju Lee, Hyeon Jong Yang, Hyun Hee Kim, Hyeon Jong Yang “Efficacy of Glucocorticoids for the Treatment of Macrolide Refractory Mycoplasma Pneumonia in Children: Meta-Analysis of Randomized Controlled Trials”, BMC Pulmonary Medicine, 2019.

1. Donghe Li, Sungho Won “Comparison of INDEL Calling Tools with Simulation Data and Real Short-Read Data”, The 44th Korean Public Health Conference, 2017, Seoul, South Korea. (Minister’s Award of Ministry of Health and Welfare for Poster Presentation)

2. Donghe Li, Sungho Won “Comparison of INDEL Calling Tools with Simulation Data and Real Short-Read Data”, The 28thInternational Conference on Genome Informatics, GIW/BIOINFO 2017, Seoul, South Korea.

3. Sujin Seo, Donghe Li, Sungho Won “Polygenic risk prediction models for Alzheimer’s disease”, The 21st Annual Meeting of the Korean Society for Brain and Neural Sciences 2018, Seoul, Korea. (Best Poster Presentation Award)

4. Donghe Li, Sungho Won “A Genome-Wide Association Study Implicates EPHA6 for Alzheimer Disease in Family-Based Analysis”, Alzheimer’s Association International Conference 2019, Los Angeles, USA.