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Jingjing Yang
Assistant Professor
Jointly Appointed, Biostatistics and Bioinformatics
- PhD in Statistics, Department of Statistics, Rice University, 2009-2014
- Postdoctoral Research Fellow, Center for Statistical Genetics, Department of Biostatistics School of Public Health, University of Michigan, Ann Arbor. 2014-2017
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Areas of Interest
- Bayesian Analysis
- Genetic Association Studies
- Genetic Epidemiology
- Genomics
- Longitudinal Analysis
- Machine Learning
Education
- Ph.D. 2014, Rice University
Courses Taught
- BIOS 770: Statistical Genetics
Affiliations & Activities
Dr. Yang is affiliated with the Department of Biostatistics and Bioinformatics School of Public Health and the Department of Human Genetics School of Medicine. Dr. Yang takes PhD students from the GMB and PBEE PhD programs under Graduate Division of Biological and Biomedical Science, http://www.biomed.emory.edu/, as well as the Department of Biostatistics and Bioinformatics, School of Public Health. More information about the Yang lab is available from https://yanglab-emory.github.io/.
Publications
- Justin M Luningham, Junyu Chen, Shizhen Tang, Philip L De Jager, David A Bennett, Aron S Buchman, Jingjing Yang, 2020, Bayesian Genome-wide TWAS method to leverage both cis-and trans-eQTL information through summary statistics, American Journal of Human Genetics, 107, 714-726
- Sini Nagpal, Xiaoran Meng, Michael P Epstein, Lam C Tsoi, Matthew Patrick, Greg Gibson, Philip L De Jager, David A Bennett, Aliza P Wingo, Thomas S Wingo, Jingjing Yang, 2019, TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits, American Journal of Human Genetics, 105, 258-266
- Jingjing Yang, Lars G Fritsche, Xiang Zhou, Gonçalo Abecasis, International Age-Related Macular Degeneration Genomics Consortium, 2017, A Scalable Bayesian Method for Integrating Functional Information in Genome-wide Association Studies, American Journal of Human Genetics, 101, 404-416