导师介绍
毕文健 研究员
个人简介
毕文健,bat365官网登录入口医学遗传学系课题组长,博士生导师,北京大学博雅青年学者,国家级青年高层次人才计划入选者。2010年本科毕业于四川大学数学学院,2015年博士毕业于中国科学院数学与系统科学院研究院,2015年至2018年在美国圣裘德儿童研究医院从事博士后研究,2018年至2021年在美国密歇根大学从事博士后研究,2021年6月入职bat365官网登录入口。主要工作涉及统计遗传学、生物统计与系统生物学、系统辨识与控制算法等,针对基因-环境交互作用、生存数据和多分类表型数据设计了多种快速、准确的分析算法,并应用于UK Biobank等大型生物样本库的实际数据中。以第一/共同第一作者身份发表于American Journal of Human Genetics (3篇),Genetics, Frontiers in Genetics, BIostatistics等学术杂志。
个人网站
https://www.x-mol.com/groups/wenjianb
研究方向
随着高通量测序技术、高精度成像技术以及电子健康记录系统的发展,生物医学进入了健康医疗信息化的大数据新时代。海量的生物医学大数据为系统生物学研究提供了丰富的研究资源。比如英国生物样本库收集了50万英国人的健康数据并向全球科研人员开放,其中包含基因测序、脑部扫描成像、临床指标、生活方式等多维度数据。我们的研究工作涉及集值系统辨识、统计遗传学、系统生物学和生物医学大数据分析。主要包括:
1. 基于生物系统建模,并进行相关的系统辨识与控制;
2. 提出适用于生物医学大数据的统计遗传学算法;
3. 提出新的基因-环境交互作用算法;
4. 基于数据分析结果,进行实验验证和生物学机制研究
成果及论文
*通讯作者 #共同第一作者
[1] Wenjian Bi*, Wei Zhou, Rounak Dey, Bhramar Mukherjee, Joshua N. Sampson, Seunggeun Lee*, Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes. American Journal of Human Genetics, 2021, https://doi.org/10.1016/j.ajhg.2021.03.019.(*共同通讯作者)
[2] Wenjian Bi, Lars G. Fritsche, Bhramar Mukherjee, Sehee Kim, Seunggeun Lee*, A fast and accurate method for genome-wide time-to-event data analysis and its application to UK-Biobank. American Journal of Human Genetics, 2020, 107(2): 222-233.
[3] Wenjian Bi, Zhangchen Zhao, Rounak Dey, Lars G Fritsche, Bhramar Mukherjee, Seunggeun Lee*, A fast and accurate method for genome-wide scale phenome-wide G×E analysis and its application to UK Biobank. American Journal of Human Genetics, 2019, 105(6): 1182-1192.
[4] Wenjian Bi, Yun Li, Matthew P. Smeltzer, Guimin Gao, Shengli Zhao, Guolian Kang*, STEPS: an efficient prospective likelihood approach to genetic association analyses of secondary traits in extreme phenotype sequencing. Biostatistics, 2020, 21(1): 33-49.
[5] Guolian Kang#*, Wenjian Bi#, Hang Zhang, Stanley Pounds, Cheng Cheng, Sanjay Shete, Fei Zou, Yanlong Zhao, Ji-Feng Zhang, Weihua Yue*, A robust and powerful set-valued approach to rare variant association analyses of secondary traits in case-control sequencing studies. Genetics, 2017, 205(3): 1049-1062.(#共同第一作者)
[6] Hang Zhang#, Wenjian Bi#, Yuehua Cui, Honglei Chen, Jinbo Chen, Yanlong Zhao*, Guolian Kang*, Extreme-value sampling design is cost-benefit only with valid statistical approach for exposure-secondary outcome association analyses. Statistical Methods in Medical Research, 2020, 29 (2): 466-480.(#共同第一作者)
[7] Guolian Kang#*, Wenjian Bi#, Yanlong Zhao*, Ji-Feng Zhang, Jun J. Yang, Heng Xu, Mignon L. Loh, Stephen P. Hunger, Mary V. Relling, Stanley Pounds and Cheng Cheng, A system identification approach to identifying genetic variants in sequencing studies for a binary phenotype, Human Heredity, 2014, 78: 104-116.(#共同第一作者)
[8] Wenjian Bi#, Guolian Kang#*, Yanlong Zhao, Yuehua Cui, Yun Li, Christine M Hartford, Wing Leung and Ji-Feng Zhang*, SVSI: A fast and powerful set-valued system identification approach to identifying rare variants in sequencing studies for ordered categorical traits, Annals of Human Genetics, 2015, 79: 294-309.(#共同第一作者)
[9] Wenjian Bi, Yanlong Zhao*, Iterative parameter estimate with batched binary-valued observations: convergence with an exponential rate, IFAC2014, 2014, 47(3): 3220-3225.
[10] Hang Zhang, Wenjian Bi*, Yanlong Zhao*, Long Cheng, Set-valued system identification methods in retrospective cohort study and applications to GWAS, IFAC2017, 2017, 50(1): 1583-1588. (*共同通讯作者)
[11] Hao Yu#, Wenjian Bi#, Chenxing Liu, Yanlong Zhao, Ji-Feng Zhang, Dai Zhang* and Weihua Yue*, Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population, Journal of Psychiatric Research, 2014, 50: 73-78. (#共同第一作者)
[12] Hao Yu#, Wenjian Bi#, Chenxing Liu, Yanlong Zhao, Dai Zhang and Weihua Yue*, A hypothesis-driven pathway analysis reveals Myelin-related pathways that contribute to the risk of schizophrenia and bipolar disorder, Progress in Neuro-Psychopharmacology & Biological Psychiatry, 2014, 51: 140-145. (#共同第一作者)
[13] Wei Zhou#*, Zhangchen Zhao#, Jonas B Nielsen, Lars G Fritsche, Jonathon LeFaive, Sarah A Gagliano Taliun, Wenjian Bi, Maiken E Gabrielsen, Mark J Daly, Benjamin M Neale, Kristian Hveem, Goncalo R Abecasis, Cristen J Willer, Seunggeun Lee*, Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts. Nature Genetics. 2020, 52: 634-639.
[14] Zhangchen Zhao, Wenjian Bi, Wei Zhou, Peter VandeHaar, Lars G Fritsche, Seunggeun Lee*, UK-Biobank whole exome sequence binary phenome analysis with robust region-based rare variant test. American Journal of Human Genetics, 2020, 106(1): 3-12.
[15] Yanlong Zhao*, Ting Wang, Wenjian Bi, Consensus protocol for multiagent systems with undirected topologies and binary-valued communications, IEEE Transactions on Automatic Control, 2019, 64(1): 206-221.
[16] Yanlong Zhao*, Wenjian Bi and Ting Wang, Iterative parameter estimate with batched binary-valued observations. Science China Information Sciences, 2016, 59: 052201.