Prof. Po-Hsiu Kuo


Academic Degree(s)





Current Position

Deputy director of Institute of Epidemiology and Preventive Medicine


Professional Experience

  • 2017/08 – present, Professor, Department of Public Health & Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
  • 2012/08 –2017/07, Associate Professor, Department of Public Health & Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
  • 2009/08 –2012/07, Assistant Professor, Department of Public Health & Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan


Education & Training

  • 2004/09– 2005/04, Postdoctoral Fellow, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, USA
  • 2003/09– 2004/08, Postdoctoral Fellow, Department of Psychiatry, Washington University/Department of Psychological Sciences, University of Missouri-Columbia, USA
  • 1997/09– 2002/06, PhD, Institute of Epidemiology, College of Public Health, National Taiwan University, Taiwan



  • 2017-2019, NARSAD Independent Investigator Award, USA
  • 2016-2019, Excellent Young Researcher Grant Award, Ministry of Science and Technology
  • 2012, Excellent Teaching Award, National Taiwan University
  • 2008-2012, Young Scholar Award, Foundation for the Advancement of Outstanding Scholarship, Taiwan


Research Grants

  • Investigation of the relationships between dietary patterns and major depressive disorder through gut microbiota (105/08/01~ 108/07/31, MST)
  • Systems level analyses for whole-genome transcriptome studies of manic and depressive episodes (106/01/01~ 108/12/31, NHRI)


Committee & Membership

  • Lifetime Membership of Taiwan Public Health Association
  • Regular membership of Taiwanese Society of Biological Psychiatry and Neuropsychopharmacology
  • Regular membership of International Society of Psychiatric Genetics


Selected Publication

  • Chuang LC, Kao CF, Shih WL, Kuo PH*. (2013) Pathway analysis using information from allele-specific gene methylation in genome-wide association studies for bipolar disorder. PLoS ONE. 8(1):e53092
  • Chen YC, Kao CF, Lu MK, Yang YK, Liao SC, Jang FL, Chen WJ, Lu RB, Kuo PH*. (2014) The relationship of family characteristics and bipolar disorder using causal-pie models. European Psychiatry. 29(1):36-43
  • Jan WC, Yang SY, Chuang LC, Lu RB, Lu MK, Sun HFS, Kuo PH*. (2014) Exploring the associations between genetic variants in genes encoding for subunits of calcium channel and subtypes of bipolar disorder. Journal of Affective Disorders. 157:80-6
  • Kuo PH*, Chuang LC, Liu JR, Liu CM, Huang MC, Lin SK, Sun HFS, Hsieh MH, Hung H, Lu RB. (2014) Identification of novel loci for bipolar I disorder in a multi-stage genome-wide association study. Progress in Neuro-Psychopharmacology & Biological Psychiatry. 51:58-64
  • Kao CF, Chuang LC, Kuo PH*. (2014) Risk and information evaluation of prioritized genes for complex traits: application to bipolar disorder. American Journal of Medical Genetics Part B. 165(7):596-606
  • Yeh FC, Kao CF, Kuo PH*. (2015) Explore the features of brain-derived neurotrophic factor in mood disorders from systems biology point of view. PLoS ONE. 10(6): e0128605.
  • Chen HH, Tseng YJ, Wang SY, Tsai YS, Chang CS, Kuo TC, Yao WJ, Shieh CC, Wu CH, Kuo PH*. (2015) The metabolome profiling and pathway analysis in metabolic healthy and abnormal obesity. International Journal of Obesity. 39: 1241–1248
  • Kao CF, Chen HW, Chen HC, Yang JH, Huang MC, Chiu YH, Lin SK, Lee YC, Liu CM, Chuang LC, Chen CH, Wu JY, Lu RB, Kuo PH*. (2016) Identification of susceptible loci and enriched pathways for bipolar II disorder using genome-wide association studies. International Journal of Neuropsychopharmacology. (Dec 3;19(12). doi: 10.1093/ijnp/pyw064)
  • Hou L, Heilbronner U, Degenhardt F, Adli M, et al., Kuo PH, Kato T, Grigoroiu-Serbanescu M, Reif A, Del Zompo M, Bellivier F, Schalling M, Wray NR, Kelsoe JR, Alda M, Rietschel M, McMahon FJ, Schulze TG. (2016) Genetic variants associated with response to lithium treatment in bipolar disorder: a genome-wide association study. Lancet. 12;387:1085-93
  • Chuang LC, Kuo PH* (2017) Building a genetic risk model bipolar disorder from genome-wide association data with random forest algorithm. Scientific Reports. Jan, 3: 39943