基本概况

南方科技大学公共卫生及应急管理学院副教授、研究员、博士生导师、应急管理研究中心执行主任。北京大学全球健康发展研究院兼职研究员。曾任哈佛大学医学院讲师、美国退伍军人事务部波士顿荣军医院资深科学家。累计发表SCI论文100余篇，H-指数56，总引用超过2万次，其中包括在《自然》、《自然通讯》、《血液》、《核酸研究》、《生物信息》等国际一流杂志上发表的第一作者文章。国家自然科学基金面上项目（2025-2027）“基于全球多人群数据的中国心脑血管疾病多基因风险智能评估研究” 项目负责人，国家重点研发计划项目（2023-2025）“健康预期寿命及其价值的测算技术和影响因素与应用研究” 课题负责人，中国民用航空局民航安全能力建设项目（2023）“新冠病毒新变异株疫情下的中国民航国际航线动态防控策略研究” 项目负责人，深圳市疾病预防控制中心 “十四五” 规划撰稿人。2018年出版科普著作《基因的名义》（高等教育出版社），同年入选“中华优秀科普图书榜”。2022年出版科普著作《核酸的前世今生》（北京大学出版社）。

科研

四个Ji【基因与疾病、急救、机场】：

1. 面向常见病【心脑血管疾病】的多组学和AI数字孪生方法研究

2. 面向非常见病【如自闭症】的多组学研究

3. 基于国际机场和机舱内空气及废水采样的疫情预警研究

4. 基于急救中心120数据的疾病谱研究

关键词：全球健康，生物信息学，健康医疗大数据，人工智能

招生方向：公共卫生与预防医学【100401 流行病与卫生统计学】；生物学【071012 生物信息与计算生物学】；基础医学【100111 人类遗传学，100117 系统生物医学】

教学

1. 本科生通识选修课《大数据里的全球健康》

本课程从大数据分析的角度，讲述全球卫生与健康领域的重点知识。覆盖的知识点既有全球重大慢性疾病相关的疾病负担与健康预期寿命测算、疾病风险预测，也有以新冠肺炎疫情为主线的全球大流行性传染病的防控理论和科研方法。

2. 研究生核心课《人类基因组与人工智能解析》

本课程以基因组和其它多组学的传统大数据分析及最前沿的AI解析为主线。这不同于以软件开发应用为主线的生物信息学课程，也不同于以生物学技术和遗传疾病为主线的医学遗传学课程。本课程以权威期刊发表的最新研究论文为主要学习参考资料，理论和实践相结合，致力于提升学生提炼科学问题和理清科研分析思路的能力。教学内容包括：人类基因组学概述及近年来诺奖成果解读、人类基因组数据AI解析、人类蛋白组数据AI解析、 基于AI的老药新用研发应用示例、消费级精准健康与AI解析应用示例，等。

代表性论文（#共同一作，*通讯作者）

1. Ran Zhao, Wenyan Xian, Yihao Ma, Valerio Napolioni, Patrick WC Lau, Xiao-Li Tian, Yann Le Guen, Andre Franke, Jie Huang*. Additive association of blood group A allele with 15 cardiometabolic diseases: a UK Biobank life-course study. Cardiovascular Diabetology 24, 113

2. J Huang#*, M Güllüoğlu, O Döring, H Wang, J Li, Y Liu. Global infectious disease surveillance: bridge a 30-metre gap between the International Civil Aviation Organization and the World Anti-Doping Agency. Journal of Global Health 15, 03010

3. Wenyan Xian, Yifan Tao, Chong You, Ruinan Sun, Janice M Ranson, Valerio Napolioni, Patrick WC Lau, Jie Huang*. Brisk Walking Pace Offsets Venous Thromboembolism Risk Equivalent to Established Monogenic Mutations. Thrombosis and Haemostasis. 2025 Jan 16

4. Huang J#*, Döring O, GG Liu. The world needs a “pandamic” solution for a pandemic problem. China CDC Weekly. 4 (52), 1183-1184

5. Huang J#, Huffman JE#, Huang Y#, Valle ID, Assimes TL, Raghavan S, Voight BF, Liu C, Barabási A, Huang R, Hui Q, Nguyen XT, Ho YL, Djoussé L, Lynch JA, Vujkovic M, Tcheandjieu C, Tang H, Damrauer SM, Reaven PD, Miller D, Phillips LS, Ng MCY, Graff M, Haiman CA, Loos RJF, North KE, Yengo L, Smith GD, Saleheen D, Gaziano JM, Rader DJ, Tsao PS, Cho K, Chang KM, Wilson PWF, VA Million Veteran Program, Sun YV*, O’Donnell CJ. Genomics and phenomics of body mass index reveals a complex disease network. Nature Communications. 2022 Dec 29;13(1):7973.

6. Huang J#*, McLean GR, Dubee FC, Zheng Z. Two pandemics in China, One Health in Chinese. BMJ Global Health. 2022 Mar;7(3).

7. Huang J#*, Liang ZS, Pallotti S, Ranson JM, Llewellyn DJ, Zheng ZJ, King DA, Zhou Q, Zheng H, Napolioni V*. PAGEANT: personal access to genome and analysis of natural traits. Nucleic Acids Research.2022 Apr 22;50(7):e39.

8. Wang M, Huang J*, Wu T*, Qi L. Arterial Stiffness, Genetic Risk, and Type 2 Diabetes: A Prospective Cohort Study. Diabetes Care. 2022 Apr 1;45(4):957-964.

9. Huang J#, Liu J#, Tian R, Liu K, Zhuang P, Sherman HT, Budjan C, Fong M, Jeong MS, Kong XJ. A Next Generation Sequencing-Based Protocol for Screening of Variants of Concern in Autism Spectrum Disorder. Cells. 2021 Dec 21;11(1).

10. Huang J#*, Pallotti S, Zhou Q, Kleber M, Xin X, King DA, Napolioni V*. PERHAPS: Paired-End short Reads-based HAPlotyping from next-generation Sequencing data. Briefings in Bioinformatics. 2021 Jul 20;22(4).

11. You C, Zhou Z, Wen J, Li Y, Pang CH, Du H, Wang Z, Zhou XH, King DA, Liu CT, Huang J*. Polygenic Scores and Parental Predictors: An Adult Height Study Based on the United Kingdom Biobank and the Framingham Heart Study. Frontiers in Genetics. 2021;12:669441.

12. Du Y, Martin JS, McGee J, Yang Y, Liu EY, Sun Y, Geihs M, Kong X, Zhou EL, Li Y, Huang J*. A SNP panel and online tool for checking genotype concordance through comparing QR codes. PLoS One. 2017;12(9):e0182438.

13. Walter K#, Min JL#, Huang J#, Crooks L#, Memari Y, McCarthy S, Perry JR, Xu C, Futema M, Lawson D, Iotchkova V, Schiffels S, Hendricks AE, Danecek P, Li R, Floyd J, Wain LV, Barroso I, Humphries SE, Hurles ME, Zeggini E, Barrett JC, Plagnol V, Richards JB, Greenwood CM, Timpson NJ, Durbin R, Soranzo N. The UK10K project identifies rare variants in health and disease. Nature. 2015 Oct 1;526(7571):82-90.

14. Huang J#, Howie B, McCarthy S, Memari Y, Walter K, Min JL, Danecek P, Malerba G, Trabetti E, Zheng HF, Gambaro G, Richards JB, Durbin R, Timpson NJ, Marchini J, Soranzo N. Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel. Nature Communications. 2015 Sep 14;6:8111.

15. Huang J#, Huffman JE#, Yamakuchi M, Trompet S, Asselbergs FW, Sabater-Lleal M, Trégouët DA, Chen WM, Smith NL, Kleber ME, Shin SY, Becker DM, Tang W, Dehghan A, Johnson AD, Truong V, Folkersen L, Yang Q, Oudot-Mellkah T, Buckley BM, Moore JH, Williams FM, Campbell H, Silbernagel G, Vitart V, Rudan I, Tofler GH, Navis GJ, Destefano A, Wright AF, Chen MH, de Craen AJ, Worrall BB, Rudnicka AR, Rumley A, Bookman EB, Psaty BM, Chen F, Keene KL, Franco OH, Böhm BO, Uitterlinden AG, Carter AM, Jukema JW, Sattar N, Bis JC, Ikram MA, Sale MM, McKnight B, Fornage M, Ford I, Taylor K, Slagboom PE, McArdle WL, Hsu FC, Franco-Cereceda A, Goodall AH, Yanek LR, Furie KL, Cushman M, Hofman A, Witteman JC, Folsom AR, Basu S, Matijevic N, van Gilst WH, Wilson JF, Westendorp RG, Kathiresan S, Reilly MP, Tracy RP, Polasek O, Winkelmann BR, Grant PJ, Hillege HL, Cambien F, Stott DJ, Lowe GD, Spector TD, Meigs JB, Marz W, Eriksson P, Becker LC, Morange PE, Soranzo N, Williams SM, Hayward C, van der Harst P, Hamsten A, Lowenstein CJ, Strachan DP, O'Donnell CJ. Genome-wide association study for circulating tissue plasminogen activator levels and functional follow-up implicates endothelial STXBP5 and STX2.  Arteriosclerosis, Thrombosis, and Vascular Biology (ATVB). 2014 May;34(5):1093-101.

16. Huang J#, Liu EY, Welch R, Willer C, Hindorff LA, Li Y. WikiGWA: an open platform for collecting and using genome-wide association results. Eur J Hum Genet. 2013 Apr;21(4):471-3.

17. Huang J#, Sabater-Lleal M, Asselbergs FW, Tregouet D, Shin SY, Ding J, Baumert J, Oudot-Mellakh T, Folkersen L, Johnson AD, Smith NL, Williams SM, Ikram MA, Kleber ME, Becker DM, Truong V, Mychaleckyj JC, Tang W, Yang Q, Sennblad B, Moore JH, Williams FM, Dehghan A, Silbernagel G, Schrijvers EM, Smith S, Karakas M, Tofler GH, Silveira A, Navis GJ, Lohman K, Chen MH, Peters A, Goel A, Hopewell JC, Chambers JC, Saleheen D, Lundmark P, Psaty BM, Strawbridge RJ, Boehm BO, Carter AM, Meisinger C, Peden JF, Bis JC, McKnight B, Öhrvik J, Taylor K, Franzosi MG, Seedorf U, Collins R, Franco-Cereceda A, Syvänen AC, Goodall AH, Yanek LR, Cushman M, Müller-Nurasyid M, Folsom AR, Basu S, Matijevic N, van Gilst WH, Kooner JS, Hofman A, Danesh J, Clarke R, Meigs JB, Kathiresan S, Reilly MP, Klopp N, Harris TB, Winkelmann BR, Grant PJ, Hillege HL, Watkins H, Spector TD, Becker LC, Tracy RP, März W, Uitterlinden AG, Eriksson P, Cambien F, Morange PE, Koenig W, Soranzo N, van der Harst P, Liu Y, O'Donnell CJ, Hamsten A. Genome-wide association study for circulating levels of PAI-1 provides novel insights into its regulation. Blood. 2012 Dec 6;120(24):4873-81.

18. Huang J#, Ellinghaus D, Franke A, Howie B, Li Y. 1000 Genomes-based imputation identifies novel and refined associations for the Wellcome Trust Case Control Consortium phase 1 Data. Eur J Hum Genet. 2012 Jul;20(7):801-5.

19. Huang J#, Johnson AD, O'Donnell CJ. PRIMe: a method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies. Bioinformatics. 2011 May 1;27(9):1201-6.

20. Huang J#, Perlis RH, Lee PH, Rush AJ, Fava M, Sachs GS, Lieberman J, Hamilton SP, Sullivan P, Sklar P, Purcell S, Smoller JW. Cross-disorder genomewide analysis of schizophrenia, bipolar disorder, and depression. American Journal of Psychiatry. 2010 Oct;167(10):1254-63.