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Yi Jiang

【Source: | Date:2025-11-19 】


Lecturer of Epidemiology and Biostatistics

Department of Epidemiology and Biostatistics

*jiangyi3029@hust.edu.cn


Academic Areas

Statistical genetics, Bioinformatics, Multi-omics research


Research Interests

1.      Development of statistical methods for multi-omics data

2.      Multi-omics Quantitative Trait Locus (QTL) mapping

3.      Elucidating complex disease etiology with causal inference


Education

2016.09-2020.06          Ph.D. in Genetics, Central South University

2017.10-2019.10            Visiting scholar (CSC-sponsored), Vanderbilt University

2013.09-2016.06           M.S. in Genetics, Wenzhou Medical University

2009.09-2013.06          B.S. in Biotechnology, Hunan University of Science and Technology


Professional/working Experience

2025.10-present           Lecturer, Department of Epidemiology and Biostatistics,

                                         School of Public Health, Tongji Medical College,

                                         Huazhong University of Science and Technology

2020.08-2025.10         Postdoc, Department of Epidemiology and Biostatistics,

                                         School of Public Health, Tongji Medical College,

                                         Huazhong University of Science and Technology



Select Publications


Journal Article

1.Liang Q*, Jiang Y*, Shieh A, Zhou D, Chen R, Wang F, Xu M, Niu M, Wang X, Pinto D, Wang Y, Cheng L, Vadukapuram R, Zhang C, Grennan K, Giase G, PsychENCODE, White K, Peng J, Li B, Liu C#, Chen C#, Wang S#. The impact of common variants on gene expression in human brain: from RNA to protein to schizophrenia risk. Nature Communications (accepted). 2025.

2.Kong Y, Tang W, Kang H, Guan Y, Li S, Cao X, Shao Z, Jiang Y#, Wang C#, Hao X#. Linear and non-linear proteome-wide association studies provide novel insight into venous thromboembolism. Nature Communications. 2025, 16(1):6517.

3.Liu Q, Kong Y, Kang H, Jiang Y#, Hao X#. Circulating polyunsaturated fatty acids percentages and coronary artery disease incidence and mortality: observational and Mendelian randomization analyses. Clinical Nutrition. 2025, 48:122-133.

4.Jiang Y*, Qu M*, Jiang M, Jiang X, Fernandez S, Porter T, Laws SM, Masters CL, Guo H, Cheng S#, Wang C#. MethylGenotyper: accurate estimation of SNP genotypes and genetic relatedness from DNA methylation data. Genomics, Proteomics & Bioinformatics. 2024, 22(3):qzae044.

5.Jiang Y*, Cheng S*, Shi Y, Xu Z, Wang H, Li Y, Liu Y, Li Z, Jiang Y, Meng X, Cheng S, Li H, Wang C#, Wang Y#. Subtype-specific association of mitochondrial DNA copy number with poststroke/TIA outcomes in 10241 patients in China. Stroke. 2024, 55(5):1261-1270.

6.Jiang Y, Giase G, Grennan K, Shieh A, Xia Y, Han L, Wang Q, Wei Q, Chen R, Liu S, White K, Chen C#, Li B#, Liu C#. DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data. PLoS Computational Biology. 2020, 16(4): e1007522.

7.Zhou D, Jiang Y, Zhong X, Cox NJ, Liu C, Gamazon ER. A unified framework for joint-tissue transcriptome-wide association and Mendelian randomization analysis. Nature Genetics. 2020, 52(11):1239-1246.

8.Jiang Y*, Li Z*, Liu Z, Chen D, Wu W, Du Y, Ji L, Jin ZB, Li W#, Wu J#. mirDNMR: a gene-centered database of background de novo mutation rates in human. Nucleic Acids Research, 2017, 45(D1):D796-D803.