School of Life Sciences
Associate professor
Associate Professor
Statistical Genetics
xia_xiaoxuan@outlook.com
Dr. Xiaoxuan Xia joined the School of Life Sciences, Tianjin University as an associate researcher in September 2023. She received her Bachelor of Science degree in Statistics from Beijing Normal University in 2016. After that, she received her PhD in Biostatistics from the Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong (CUHK) in 2020, under the supervision of Prof. Maggie Haitian Wang. During her doctoral studies, she visited Prof. Hua Tang in the Department of Genetics at Stanford University in 2019. From 2020 to 2023, she worked as a postdoctoral fellow in the Department of Statistics, CUHK, supervised by Prof. Yingying Wei. Her main research interests lie in developing computationally efficient statistical methods to analyze big, noisy and complex genetic and genomic data to uncover the genetic basis of complex diseases and predict disease risk.
Personal Website: https://sites.google.com/view/drxiaoxuanxia/bio
- Doctoral degree| The Chinese University of Hong Kong| Biostatistics| 2020
- Bachelor’s Degree| Beijing Normal University| Statistics| 2016
- Statistical Genetics, Bioinformatics
- International Genetic Epidemiology Society Young Investigator Committee
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2020.9-2023.3
Department of Statistics | The Chinese University of Hong Kong | Postdoc
- Papers
- [1] Xia, X.*, Zhang, Y.*, Sun, R., Wei, Y., Li, Q., Chong, K. C., Wu, W. K. K., Zee, B. C. Y., Tang H., Wang, M. H. (2022). A Prism Vote method for individualized risk prediction of traits in genotype data of multiple population. PLoS Genetics, 18(10), e1010443. IF: 6.020, Q1, Rank 27/175 (15.43%) in Genetics & Heredity. (*: co-first author)
- [2] Xia, X.*, Wu, W. K. K.*, Wong, S. H.*, Liu, D., Kwong, T. N. Y., Nakatsu, G., Yan, P. S., Yeoh, Y. Y., Zhao, L., Wang, X., Cheng, W. Y., Chan, M. T. V., Chan, P. K. S., Sung J. J. Y., Wang M. H., Yu, J. (2020). Bacteria pathogens drive host colonic epithelial cell promoter hypermethylation of tumor suppressor genes in colorectal cancer. Microbiome, 8(1), 1-13. IF: 16.837, Q1, Rank 9/136 (6.62%) in Microbiology.
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- [3] Xia, X.*, Weng, H.*, Men, R., Sun, R., Zee, B. C. Y., Chong, K. C., Wang, M. H. (2018) Incorporating methylation genome information improves prediction accuracy for drug treatment responses. BMC Genetics, 19(1), 67-71. IF: 2.759.
- [4] Sun, Y., Liang, Z., Xia, X., Wang, M. H., Zhu, C., Pan, Y., Sun, R. (2023). Extra cup of tea intake associated with increased risk of Alzheimer’s disease: genetic insights from Mendelian randomization. Frontiers in Nutrition, 10, 74. IF: 6.576.
- [5] Sun, R., Xia, X., Chong, K. C., Zee, B. C. Y., Wu, W. K. K., Wang, M. H. (2019). wtest: an integrated R package for genetic epistasis testing. BMC Medical Genomics, 12(9), 1-6. IF: 3.622.