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.
本實驗室主要研究方向是發展新的統計方法與軟體為致病基因定位,及尋找族群之間在演化上及遺傳上的差異。目前研究方向為:
1. 應用統計方法與分析工具尋找複雜性疾病相關之致病基因。目前研究包含偏頭痛,老年痴呆症,氣喘,躁鬱症,代謝症候群等疾病。
2. 發展新的稀少變異基因之統計方法,並探討其在複雜性疾病中所扮演的角色和導致不同族群中的差異。
3.應用機械學習及深度學習的方法於多基因風險評分之可行性。
4. 大型生物基因資料庫之分析研究。