Duo Jiang
Associate Professor
Department of Statistics
Duo Jiang
Associate Professor
Department of Statistics
Research interests
- Statistical Genetics and Genomics
- GWAS, Sequencing Studies, RNA-seq Data, and Metabolomics Data
- Mixed-effects Models
- Graphical Models and Network Analysis
- Dependent Data Analysis, Quasi-likelihood Models
- Big Biological Data
Background
Education
Ph.D. Statistics, The University of Chicago, 2014
B.A. Mathematics, Tsinghua University, 2009
College strategic research areas
Data SciencePublications
- Zhuo, B., and Jiang, D. (2017), "MEACA: efficient gene-set interpretation of expression data using mixed models," bioRxiv 106781; doi: https://doi.org/10.1101/106781
- Jiang, D., Zhong, S., and McPeek, M. S. (2016), "Novel retrospective binary-trait association test identifies genetic association with Crohn's disease," The American Journal of Human Genetics 98:1-13. [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746383/]
- Zhong, S., Jiang, D., and McPeek, M. S. (2016), "CERAMIC: case-control association testing in samples with related individuals based on retrospective mixed model analysis with adjustment for covariates," PLOS Genetics 12: e1006329 [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047592/]
- Jiang, D., Mbatchou, J., and McPeek, M. S. (2016), "Retrospective association analysis of binary traits: Overcoming Some Limitations of the Additive Polygenic Model," Human Heredity 80: 187-95. [https://www.ncbi.nlm.nih.gov/pubmed/27576759]
- Jiang, D., Mbatchou, J., and McPeek, M. S. (2016), "Retrospective association analysis of binary traits: Overcoming Some Limitations of the Additive Polygenic Model," Human Heredity 80: 187-95. [https://www.ncbi.nlm.nih.gov/pubmed/27576759]
- Jiang, D., McPeek, M. S. (2014), "Robust rare variant association testing for quantitative traits in samples with related individuals," Genetic Epidemiology 38: 10-20. [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510991/pdf/nihms707410.pdf]
