个人简介

毕文健，北京大学基础医学院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月入职北京大学基础医学院。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.