Wan-Ping Lee, PhD
Research Assistant Professor of Pathology and Laboratory Medicine
Department: Pathology and Laboratory Medicine
Contact information
D103, Richards Medical Research Laboratories
3700 Hamilton Walk
Philadelphia, PA 19104
3700 Hamilton Walk
Philadelphia, PA 19104
Education:
B.B.A. (Management Information System)
Chung Yuan Christian University, 2001.
M.S. (Computer Science and Engineering)
National Sun Yat-Sen University, 2004.
Ph.D. (Electrical Engineering)
National Taiwan University, 2009.
Permanent linkB.B.A. (Management Information System)
Chung Yuan Christian University, 2001.
M.S. (Computer Science and Engineering)
National Sun Yat-Sen University, 2004.
Ph.D. (Electrical Engineering)
National Taiwan University, 2009.
Description of Research Expertise
My group focuses on discovering human genomic variations, especially structural variations such as copy number variations (deletions and duplications), insertions, tandem duplications, inversions, and translocations. They are substantial contributors to genetic diversity and are usually associated with human diseases. We are closely working on the Alzheimer’s Disease genomics data analysis and participating in the Alzheimer’s Disease Sequencing Project (ADSP) and Alzheimer’s Disease Genetics Consortium (ADGC).Selected Publications
Kaylyn Clark, Wei Fu, Chia-Lun Liu, Pei-Chuan Ho, Hui Wang, Wan-Ping Lee, Shin-Yi Chou, Li-San Wang and Jung-Ying Tzeng: The prediction of Alzheimer’s disease through multi-trait genetic modeling. Frontiers in Aging Neuroscience July 2023.H. Wang, L.-S. Wang, G. Schellenberg, W.-P. Lee: The role of structural variations in Alzheimer’s disease and other neurodegenerative diseases. Frontiers in Aging Neuroscience February 2023.
Hui Wang, Beth A. Dombroski, Po-Liang Cheng, Albert Tucci, Ya-Qin Si, John Farrell, Jung-Ying Tzeng, Yuk Yee Leung, John S. Malamon, The Alzheimer’s Disease Sequencing Project, Li-San Wang, Badri N. Vardarajan, Lindsay A. Farrer, Gerard D. Schellenberg, Wan-Ping Lee: Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer’s Diseases Sequencing Project Subjects. In preparation for Nature Genetics 2023.
Wan-Ping Lee, Seung Hoan Choi, Margaret G Shea, Po-Liang Cheng, Beth A Dombroski, Achilleas N Pitsillides, Nancy L Heard-Costa, Hui Wang, Katia Bulekova, Amanda B Kuzma, Yuk Yee Leung, John J Farrell, Honghuang Lin, Adam Naj, Elizabeth E Blue11, Frederick Nusetor, Dongyu Wang, Eric Boerwinkle1, William S Bush, Xiaoling Zhang, Philip L De Jager, Josée Dupuis, Lindsay A Farrer, Myriam Fornage, Eden Martin, Margaret Pericak-Vance, Sudha Seshadri, Ellen M Wijsman, Li-San Wang, The Alzheimer’s Disease Sequencing Project, Gerard D Schellenberg, Anita L Destefano, Jonathan L Haines, Gina M Peloso: Association of Common and Rare Variants with Alzheimer’s Disease in over 13,000 Diverse Individuals with Whole-Genome Sequencing from the Alzheimer’s Disease Sequencing Project. In preparation for Nature Communications 2023.
Hui Wang, Timothy S Chang, Beth Dombroski, Po-Liang Cheng, Vishakha Patil, Leopoldo Valiente-Banuet, Dan Geschwind, Gerard D Schellenberg, Wan-Ping Lee: Whole genome sequencing analysis reveals new susceptibility loci and structural variants associated with Progressive Supranuclear Palsy. In preparation for JAMA Neurology 2023.
P. P. Kuksa, E. Greenfest-Allen, J. Cifello, M. Ionita, H. Wang, H. Nicaretta, P.-L. Cheng, W.-P. Lee, L.-S. Wang, Y. Y. Leung: Scalable approach for functional analysis of whole-genome sequencing non-coding variants. Human Molecular Genetics October 2022.
Clark K., Leung Y.Y., Lee WP, Voight B., Wang LS: Polygenic Risk Scores in Alzheimer’s Disease Genetics: Methodology, Applications, Inclusion, and Diversity. Journal of Alzheimer’s Disease. Journal of Alzheimer’s Disease, August 2022.
Jun Y, Suh Y, Park S, Lee J, Kim J, Lee S, Lee WP#, Olga A#, Yang H#, Lee C#: Comprehensive analysis of alternative splicing in gastric cancer identifies epithelial-mesenchymal transition subtypes associated with survival. Cancer Research February 2022.
Lee WP*, Zhu Q*, Yang X, Liu S, Cerveira E, Ryan M, Mil-Homens A, Bellfy L, Lee C, Zhang C: JAX-CNV: A Whole Genome Sequencing-Based Algorithm for Copy Number Detection at Clinical Grade Level. Genomics, Proteomics and Bioinformatics January 2022.
Chi JT, Ipsen ICF, Hsiao TH, Wang LS, Lee WP, Lu TP, Tzeng JY: SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-based GxE Tests in Biobank Data. Frontier in Genetics November 2021.