孙睿
助理教授(教学)
教育背景
生物统计学博士(香港中文大学)
统计学学士(浙江大学)
研究领域
生物信息学与统计遗传学方法研发、复杂疾病上的基因组学关联分析研究
电子邮件
sunrui@cuhk.edu.cn
个人简介
孙睿博士于2023年加入香港中文大学(深圳)医学院担任助理教授(教学)。她曾于2016年4月至10月在加拿大多伦多大学公共卫生学习做访问学者;于2017年获得香港中文大学公共卫生学博士,随后受聘于香港中文大学公共卫生与基础医疗学院博士后;2020年起于中山大学附属第七医院担任副研究员,硕士生导师、流行病与生物统计学教研室副主任。目前主要研究方向包括:生物统计学与生物信息学方法研发;基因与基因、基因与环境交互作用在复杂疾病中的应用;基于基因组学的复杂疾病的早期筛查研究。孙睿博士在国际主流期刊上发表论文20余篇,曾获得香港特别行政区科研人才发展奖等奖项。
学术著作
- Yuxuan Sun, Ziyi Ding, Jinqiu Yuan, Chengming Zhu, Yihang Pan, and Rui Sun*. (2023). Causal Inference of CNS-regulated Hormones in COVID-19: A Bidirectional Two-sample Mendelian Randomization Study. Journal of Clinical Medicine. https://doi.org/10.3390/jcm12041681.
- Yuxuan Sun, Zixin Liang, Xiaoxuan Xia, Maggie Haitian Wang, Chengming Zhu, Yihang Pan, and Rui Sun *. Tea Consumption associated with increased risk of Alzheimer’s disease and decreased Brain Volume: Genomics insights from Mendelian randomization. 2023. Frontiers in Nutrition. doi: 10.3389/fnut.2023.1052281.
- Xiaoxuan Xia, Yexian Zhang, Rui Sun, Yingying Wei, Qi Li, Marc Ka Chun Chong, William Ka Kei Wu, Benny Chung-Ying Zee, Hua Tang, and Maggie Haitian Wang (2022). A Prism Vote Method for Individualized Risk Prediction of Traits in Genotype Data of Multi-population. PLoS Genet. 2022 Oct 27;18(10):e1010443. doi: 10.1371/journal.pgen.1010443. PMID: 36302058.
- Shuo Fang, Yuchen Liu, Huirui Dai, Tianshun Gao, Leli Zeng, Rui Sun, Zilong Zheng, Jinqiu Yuan, Bin Xia, Yihang Pan. Association of metabolic syndrome and the risk of bladder cancer: A prospective cohort study. Front Oncol. 2022 Oct 3;12:996440. doi:10.3389/fonc.2022.996440.
- Tianshun Gao, Zilong Zheng, Yihang Pan, Chengming Zhu, Fuxing Wei, Jinqiu Yuan, Rui Sun, Shuo Fang, Nan Wang, Yang Zhou, and Jiang Qian (2022). scEnhancer: a single-cell enhancer resource with annotation across hundreds of tissue/cell types in three species. Nucleic acids research. UT MEDLINE:34761274.
- Rui Sun, Haoyi Weng, Maggie Haitian Wang (2021). W-Test for Genetic Epistasis Testing. Epistasis: Methods and Protocols, 45-53.
- Qiangsheng He, Bin Xia, Anran Liu, Min Li, Zhijun Zhou, Eddie C. Cheung, Zi Chong Kuo, Bo Wang, Fangping Li, Yan Tang, Zilong Zheng, Rui Sun, Yanhong Jessika Hu, Wenbo Meng, Yulong He, Jinqiu Yuan, and Changhua Zhang (2021). Association of body composistion with risk of overall and site-specific cancers: a population-based prospective cohort study. International Journal of Cancer. ISSN: 0020-7136.
- Reema Subramanian, Veranja Liyanapathirana, Nilakshi Barua, Rui Sun, Maggie Wang, Rita Ng, EAS Nelson, David S Hui and Margaret Ip (2021) Persistence of pneumococcal serotype 3 in adult pneumococcal disease in Hong Kong. Vaccines, 9(7), 756. UT WOS:000677141500001, eISSN:2076-393X
- Rui Sun, Xiaoxuan Xia, Ka Chun Chong, William KK Wu, Benny Chung-Ying Zee, Maggie Haitian Wang (2019) wtest: an integrated R package for genetic epistasis testing. BMC Medical Genetics. 12(9), 1-6.
- Rui Sun, Haoyi Weng, Xiaoxuan Xia, Ka Chun Chong, Benny Chung-Ying Zee, Maggie Haitian Wang (2018) Gene-methylation epistasis analysis by a W-test identified enriched signals of neuronal genes in patients undergone lipid control treatment. BMC proceedings. Vol. 12. No. 9. BioMed Central.
- Mariza de Andrade, E. Warwick Daw, Aldi T. Kraja, Virginia Fisher, Lan Wang, Ke Hu, Jing Li, Razvan Romanescu, Jenna Veenstra, Rui Sun, Haoyi Weng, Wenda Zhou (2018) The challenge of detecting genotype-by-methylation interaction: Genetic Analysis Workshop 20. BMC genetics. Vol. 19. No. 1. BioMed Central.
- Xiaoxuan Xia, Haoyi Weng, Rui Sun, Ka Chun Chong, Benny Chung Ying Zee, Maggie Haitian Wang (2018) Incorporating methylation genome information improves prediction accuracy for drug treatment responses. BMC genetics, 19(1), 78.
- William K.K. Wu # , Rui Sun # (Co-first authors), Tao Zuo # , Yuanyuan Tian # , Zhirong Zeng, Matthew T.V. Chan, Jun Yu, Sunny H. Wong, Maggie H.T. Wang, Siew C. Ng (2017) A novel susceptibility locus in MST1 and gene-gene interaction network for Crohn’s disease in the Chinese population. Journal of cellular and molecular medicine, 22(4), 2368-2377.
- Xiaoxuan Xia, Rui Sun, Ruoting Men, Haoyi Weng, Benny Chung Ying Zee, & Maggie H. Wang* (2017, November). Understanding Source of Prediction Power of Neural Network for Complex Disease in Omics Genetic Data through Stratified and Randomized Experimental Design. GENETIC EPIDEMIOLOGY (Vol. 41, No. 7, pp. 660-660).
- Maggie Haitian Wang, Haoyi Weng, Rui Sun, and Benny Chung-Ying Zee (2017) A Zoom- Focus algorithm (ZFA) to locate the optimal testing region for rare variant association tests. Bioinformatics, 33(15), 2330-2336.
- Maggie Haitian Wang, Billy Chang, Rui Sun, Inchi Hu, Marc Ka Chun Chong, Benny Chung-Ying Zee (2017) Stratified polygenic risk prediction model with application on CAGI bipolar disorder sequencing data. Human Mutation, 38(9), 1235-1239.
- Maggie Haitian Wang # , Rui Sun # (Co-first authors), Junfeng Guo, Haoyi Weng, Jack Lee, Inchi Hu, Pak Chung Sham, and Benny Chung-Ying Zee (2016) A fast and powerful W-test for pairwise epistasis testing. Nucleic Acids Research, 44(12), e115-e115.
- Rui Sun, Haoyi Weng, Inchi Hu, Junfeng Guo, William K. K. Wu, Benny Chung-Ying Zee, Maggie Haitian Wang (2016) A W-test collapsing method for rare-variant association testing in exome sequencing data. Genetic epidemiology, 40(7), 591-596.
- Rui Sun, Qiao Deng, Inchi Hu, Benny C.Y. Zee, Maggie Haitian Wang (2016) A clustering approach to identify rare variants associated with hypertension. BMC proceedings. BioMed Central, 10(7): 24.
- Inke R Konig, Jonathan Auerbach, Damian Gola, Elizabeth Held, Emily R Holzinger, Marc-Andre Legault, Rui Sun, Nathan Tintle, Hsin-Chou Yang (2016) Machine learning and data mining in complex genomic data—a review on the lessons learned in Genetic Analysis Workshop 19. BMC genetics, 17(2), 49.
- Bin Jiao, Xiaoyan Liu, Lin Zhou, Maggie Haitian Wang, Yafang Zhou, Tingting Xiao, Weiwei Zhang, Rui Sun, Mary Miu Yee WAYE, Beisha Tang, Lu Shen (2015) Polygenic analysis of late-onset Alzheimer disease from mainland China. PloS one, 10(12), e0144898.
List of Contributed Scientific Software
- pintest : Pure Interaction (PIn) test is a non-parametric test for detecting the pure interaction effect without dominant single locus or additive effects in case-control GWAS data. Availability: https://github.com/ruislab/pintest
- wtest: an R package for polygenic associations and gene-methylation interactions testing in large-scaled genetic data. Availability: https://cran.r-project.org/web/packages/wtest/index.html