
Associate Professor of Biostatistics
For more details please visit my personal webpage at
Contact Information
1518 Clifton Rd. NE, 3rd floor, room 342 ,
Atlanta , GA 30322
mailstop: 1518-002-3AA
Phone: (404) 712-4466
Fax: (404)727-1370
Email: yijuan.hu@emory.edu
Areas of Interest
- Bioinformatics
- Genetic Association Studies
- Microbiome Research
Education
- PhD 2011, The University of North Carolina at Chapel Hill
- BS 2005, Peking University, China
Courses Taught
- BIOS 731: Advanced Statistical Computing
- BIOS 709: Generalized Linear Models
Publications
- Yue, Y., Hu, Y.J., 2022, A New Approach to Testing Mediation of the Microbiome at Both the Community and Individual Taxon Levels, Bioinformatics, 38, 3173-3180
- Hu, Y.J., Satten, G.A., 2022, A rarefaction-without-resampling extension of PERMANOVA for testing presence-absence associations in the microbiome., Bioinformatics, , doi.org/10.1093/bioinformatics/btac399
- Yue, Y., Hu, Y.J., 2022, Extension of PERMANOVA to Testing the Mediation Effect of the Microbiome, Genes, 13, 940
- Zhu, Z., Satten, G.A., Hu, Y.J., 2022, Integrative analysis of relative abundance data and presence-absence data of the microbiome using the LDM, Bioinformatics, 38, 2915-2917
- Hu, Y., Satten, G.A., Hu, Y.J., 2022, LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control, Proceedings of the National Academy of Sciences, 119, e2122788119
- Hu, Y.J., Lane, A., Satten, G.A., 2021, A Rarefaction-Based Extension of the LDM for Testing Presence-Absence Associations in the Microbiome, Bioinformatics, , https://doi.org/10.1093/bioinformatics/btab012
- Zhu, Z., Satten, G.A., Mitchell, C., Hu, Y. J., 2021, Analyzing matched sets of microbiome data using the LDM and PERMANOVA, Microbiome, 9, https://doi.org/10.1186/s40168-021-01034-9
- Li, Y., Hu, Y.J., Satten, G.A., 2020, A Bottom-up Approach to Testing Hypotheses That Have a Branching Tree Dependence Structure, with Error Rate Control, Journal of American Statistical Association (T&M), , DOI: 10.1080/01621459.2020.1799811
- Hu, Y.J., Satten, G.A., 2020, Testing hypotheses about microbiome using the linear decomposition model (LDM), Bioinformatics, 36, 4106-4115
- Liao, P., Satten, G. A., and Hu, Y. J., 2017, PhredEM: a Phred-score-informed genotype- calling approach for next-generation sequencing studies, Genetic Epidemiology, 41, 375-387
- Liao, P., Satten, G.A., Hu, Y.J., 2017, Robust inference of population structure from next-generation sequencing data with systematic differences in sequencing, Bioinformatics, 34, 1157-1163
- Hu, Y. J., Schmidt, A. F., Dudbridge, F., Holmes, M. V., Brophy, J. M., Tragante, V., Li, Z., Liao, P., McCubrey, R. O., Horne, B. D., Hingorani, A. D., Asselbergs, F. W., Patel, R., Long, Q., 2017, The impact of selection bias on estimation of subsequent event risk, Circulation: Cardiovascular Genetics, 10, e001616
- Hu, Y. J., Liao, P., Johnston, H. R., Allen, A. S., and Satten, G. A., 2016, Testing rare-variant association without calling genotypes allows for systematic differences in sequencing between cases and controls, PLoS Genetics, , https://doi.org/10.1371/journal.pgen.1006040
- Hu, Y. J., Lin, D. Y., Sun, W., and Zeng, D. , 2014, A Likelihood-Based Framework for Association Analysis of Allele-Specic Copy Numbers, Journal of American Statistical Association, T&M, 109, 1533-1545
- Hu, Y. J., Li, Y., Auer, P. L., and Lin, D. Y., 2014, Integrative Analysis of Sequencing and Array Genotype Data for Discovering Disease Associations with Rare Mutations, Proceedings of National Academy of Sciences (PNAS), 112, 1019-1024
- Hu, Y. J., Sun, W., Tzeng, J. Y., Perou, C. M., 2014, Proper use of allele-specific expression improves statistical power for cis-eQTL mapping with RNA-seq data, Journal of American Statistical Association (A&C), 110, 962-974
- Hu, Y. J., Berndt, S. I., Gustafsson, S., Ganna, A., Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Hirschhorn, J., North, K. E., Ingelsson, E., and Lin, D. Y., 2013, Meta-Analysis of Gene-Level Associations With Rare Variants Based on Single-Variant Statistics, American Journal of Human Genetics, 93, 236-248
- Sun, W., Hu, Y. J., 2012, eQTL mapping using RNA-seq data, Statistics in Biosciences, , doi:10.1007/s12561-012-9068-3
- Hu, Y. J., Lin, D. Y., Zeng, D., 2010, A General Framework for Studying Genetic Effects and Gene-Environment Interactions with Missing Data, Biostatistics, 11, 583-598
- Hu, Y. J., Lin, D. Y., 2010, Analysis of Untyped SNPs: Maximum Likelihood and Imputation Methods, Genetic Epidemiology, 34, 803-815
- Lin, D. Y., Hu, Y. J., Huang, B. E., 2008, Simple and Efficient Analysis of Disease Association with Missing Genotype Data, American Journal of Human Genetics, 82, 444-452