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  6. Shizhen Tang

Shizhen Tang

Affiliation

Department of Statistics
E-mail: tang_s@rerf.or.jp

About

Dr. Tang is a Research Scientist in the Department of Statistics. Her research interests include biostatistics, statistical genetics, bioinformatics, and computational genomics. She develops and applies statistical and machine-learning methods for analyzing high-dimensional genomic data, with a particular focus on transcriptome-wide association studies, differential gene expression analysis, and the integration of single-cell and spatial transcriptomic data. Her research has been applied to complex diseases, including Alzheimer’s disease and breast cancer, with the goal of identifying disease-associated genes, biomarkers, and biological pathways. At RERF, Dr. Tang is interested in supporting future genetic and genomic studies investigating the biological mechanisms underlying radiation-induced carcinogenesis and the potential heritable effects of parental radiation exposure. She also plans to contribute biostatistical expertise to analyses of disease incidence and mortality in the Life Span Study and Adult Health Study cohorts.

Education

2026
Ph.D., Biostatistics, Emory University, Atlanta, Georgia, USA
2020
Master of Science in Public Health, Biostatistics, Emory University, Atlanta, Georgia, USA
2018
Bachelor of Science, Mathematical Statistics, Xiamen University, Xiamen, Fujian, China

Experience

Radiation Effects Research Foundation, Department of Statistics
  • 2026-

    Research Scientist

Selected publications

Liu Q, Parrish RL, Tang S, Tasaki S, Bennett DA, Seyfried NT, De Jager PL, Menon V, Buchman AS, Yang J. Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer’s disease dementia. Communications Biology. 2026.
Tang S, Liu S, Buchman AS, Bennett DA, De Jager PL, Yang J, Hu J. Integrating spatial transcriptomics and snRNA-seq data enhances differential gene expression analysis results of AD-related phenotypes. Human Genetics and Genomics Advances. 2025;6(3).
Shiu FH, Hill EJ, Li Y, Tang S, Ettigi N, King AT, Yao B, Yang J, Sloan SA, Escayg A. ADGRB1 contributes to astrocyte-mediated phagocytosis of excitatory synapses. Experimental Neurology. 2025;115451.
Tang S, Buchman AS, Wang Y, Avey D, Xu J, Tasaki S, Bennett DA, Zheng Q, Yang J. Differential gene expression analysis based on linear mixed model corrects false positive inflation for studying quantitative traits. Scientific Reports. 2023;13(1):16570.
Tang S, Buchman AS, De Jager PL, Bennett DA, Epstein MP, Yang J. Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer’s dementia. PLoS genetics. 2021;17(4):e1009482.
Luningham JM, Chen J, Tang S, De Jager PL, Bennett DA, Buchman AS, Yang J. Bayesian Genome-wide TWAS Method to Leverage both cis-and trans-eQTL Information through Summary Statistics. The American Journal of Human Genetics. 2020;107(4):714-26.

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