中文

Faculty

Jie Huang

Jie Huang

Jie Huang

  • Principal Investigator
  • jiehuang001@pku.edu.cn
Personal profile

Dr. Jie Huang joined the department of Global Health School of Public Health, Peking University as a Principal Investigator in 2018. Dr. Huang is also an honorary professor at BGI Shenzhen, and an adjunct research scientist at Harvard Medical School conducting research on Autism genetics. Dr. Huang had a long track of education and research experience in world-renowned universities and research institutions, including an undergraduate study at Peking University School of Public Health, and four graduate degrees (Masters degree from Beijing Sport University, University of Michigan School of Information, and University of North Carolina Chapel Hill School of Public Health, and a PhD degree from University of Cambridge).

He has published over 50 peer reviewed papers in leading scientific journals, including first-author papers in Nature, Nature Communications, Blood, Bioinformatics, American Journal of Psychiatry, etc. He also published a book “In the name of Gene” in August 2018 and won a couple of prestigious national awards.

Main research directions

Dr. Huang’s main research interest including but not limited to the following:

Whole genome study of complex diseases including obesity and Alzheimer’s diseases.

Personal genomic and big data analysis of Autism and rare diseases

Aging and the global health polity

Representative scientific research projects

Cross-ethnicity study of complex diseases

Genomic and gene-environmental interaction study on centenarian.

Whole genome study of Alzheimer’s diseases between China and US.

Applying of Machine learning methods in health and medicine

10 representative papers

1. 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 Sep 19;12(9). (corresponding author)

2. Iotchkova V, Huang J, Morris JA, Jain D, Barbieri C, Walter K, Min JL, Chen L, Astle W, Cocca M, Deelen P, Elding H, Farmaki AE, Franklin CS, Franberg M, Gaunt TR, Hofman A, Jiang T, Kleber ME, Lachance G, Luan J, Malerba G, Matchan A, Mead D, Memari Y, Ntalla I, Panoutsopoulou K, Pazoki R, Perry JRB, Rivadeneira F, Sabater-Lleal M, Sennblad B, Shin SY, Southam L, Traglia M, van Dijk F, van Leeuwen EM, Zaza G, Zhang W; UK10K Consortium., Amin N, Butterworth A, Chambers JC, Dedoussis G, Dehghan A, Franco OH, Franke L, Frontini M, Gambaro G, Gasparini P, Hamsten A, Issacs A, Kooner JS, Kooperberg C, Langenberg C, Marz W, Scott RA, Swertz MA, Toniolo D, Uitterlinden AG, van Duijn CM, Watkins H, Zeggini E, Maurano MT, Timpson NJ, Reiner AP, Auer PL, Soranzo N. Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps. Nature Genetics. 2016 Nov;48(11):1303-1312.

3. UK10K Consortium., 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. (co-first author)

4. Huang J, Howie B, McCarthy S, Memari Y, Walter K, Min JL, Danecek P, Malerba G, Trabetti E, Zheng HF; UK10K Consortium., 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

5. 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; Cohorts for Heart and Aging Research in Genome Epidemiology (CHARGE) Consortium Neurology Working Group., 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; CARDIoGRAM Consortium., 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; CHARGE Consortium Hemostatic Factor Working Group.. Genome-wide association study for circulating tissue plasminogen activator levels and functional follow-up implicates endothelial STXBP5 and STX2. Arterioscler Thromb Vasc Biol. 2014 May;34(5):1093-101.

6. Huang J, Liu EY, Welch R, Willer C, Hindorff LA, Li Y. WikiGWA: an open platform for collecting and using genome-wide association results. European Journal of Human Genetics. 2013 Apr;21(4):471-3.

7. 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; DIAGRAM Consortium., Kathiresan S, Reilly MP; CARDIoGRAM Consortium., Klopp N, Harris TB, Winkelmann BR, Grant PJ, Hillege HL, Watkins H; C4D Consortium., Spector TD, Becker LC, Tracy RP, März W, Uitterlinden AG, Eriksson P, Cambien F; CARDIOGENICS Consortium., 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.

8. 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. European Journal of Human Genetics. 2012 Jul;20(7):801-5.

9. 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.

10. 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.