Research & Publications
Dr Wei Jiang’s research interests lie in the fields of Bioinformatics and Biostatistics. His current research focus on using data from genome-wide association studies (GWAS) to explore replicable genetic risk factors, to quantify genetic contribution, and to predict genetic risks for human diseases. The paper for designing replication studies of GWAS received the Best Paper Award in APBC2016. He also developed methods covering other topics in genomics data analysis, such as region-based association mapping, epistasis detection, data integration. Those genomic analysis methods were published in AJHG, PLoS Genetics, Briefings in Bioinformatics, Bioinformatics etc.
Extensive Research Description
The human body is a complex system, which makes it extremely challenged to model how molecular components regulate the traits. With the development of sequencing technologies, data of molecular signals inside the human body are released and accumulating. The ultimate goal of his research is to develop a multi-omics data analysis framework to explore molecular regulatory mechanisms of complex traits, so that we can precisely control our health outcomes from different molecular signals.
His current research focus on developing statistical or computational methods for analyzing data from genome-wide association studies (GWAS). Genome contains the most fundamental information distinguishing each person, and GWAS directly investigate the relationship of our genomes to complex traits. He developed a series of methods for exploring replicable genetic factors, quantifying genetic contribution, and predicting genetic risks for complex traits based on GWAS data.
Computational Biology; Genomics; Genome-Wide Association Study; Biostatistics
Public Health Interests
Bioinformatics; Genetics, Genomics, Epigenetics
- High-dimensional asymptotic behavior of inference based on GWAS summary statisticsJiang J, Jiang W, Paul D, Zhang Y, Zhao H. High-dimensional asymptotic behavior of inference based on GWAS summary statistics. Statistica Sinica 2022, in press. doi:10.5705/ss.202021.0060