Division of Biostatistics, Department of Preventive Medicine and Environmental Health,
Ph.D. University of Iowa, Iowa City, Iowa, US
The major research interest of our laboratory is using biostatistical methods and bioinformatic tools in disease gene mapping, comparative genomics, population genetics, and phylogenetic analysis. We develop novel statistical methods/software and apply frequently used analytical tools to locate chromosomal positions of disease susceptibility genes.
The ongoing projects are shown below:
1. Applying statistical methods and tools to identify genes that are associated with human complex diseases such as Migraine, Dementia, Bipolar disorder, Asthma, Metabolic syndrome etc.
2. Developing new statistical methods for rare variants detection and their possible impact to specific population.
3. Developing machine learning or deep learning (ML/DL) based methods to facilitate disease gene mapping for the polygenic architecture of complex diseases.
4. Developing methods for analyzing large biobank data and comparing susceptible disease genes among different populations.
Genome-wide analyses identify novel risk loci for cluster headache in Han Chinese residing in TaiwanJournal of Headache and Pain, Nov 21, 2022
Phenome-wide analysis of Taiwan Biobank reveals novel glycemia-related loci and genetic risks for diabetesCommunications Biology, Nov 03, 2022