Faculty Profile, National Health Research Institutes, Taiwan

Faculty Profiles

Chao Agnes Hsiung, Ph.D.

Distinguished Investigator and Director
Division of Biostatistics and Bioinformatics


- Ph.D., Statistics, Columbia University, USA, 1975
- M.A., Statistics, Columbia University, USA, 1973
- B.S., Mathematics, National Tsing-Hua University, Taiwan, 1972


- Adjunct Professor, Institute of Statistics and Department of Life Science, National Tsing-Hua University (2005-present)
- Distinguished Investigator and Director, Division of Biostatistics and Bioinformatics, National Health Research Institutes (2002-present)
- Acting Director, Department of Research Resources, National Health Research Institutes (1998-1999)
- Investigator and Director, Division of Biostatistics, National Health Research Institutes (1997-2001)
- Chair, Panel for Statistical Science, National Science Council (1995-1997)
- Director, Statistical Center, Taiwan Cooperative Oncology Group (1992-2004)
- Visiting Professor, Department of Statistics, Columbia University (1989-1990)
- Research Fellow, Institute of Statistical Science, Academia Sinica (1985-2000)
- Professor, Department of Mathematics, National Central University (1981-1998)
- Associate Professor, Department of Mathematics, National Central University (1976-1981)
- Assistant Professor, Department of Mathematics, Cornell University (1975-1976)


Dr. Hsiung's current research interests include statistical genetics and genetic epidemiology. Her laboratory also puts efforts on microarray analysis for gene expression data and array CGH data. Her work is to use statistical approach to help solve biomedical problems and to develop statistical methodologies for problems rising from real biomedical applications.


Dr. Hsiung has authored over 100 original research articles. She was elected as a fellow in the Institute of Mathematical Statistics, also an elected member of International Statistical Institutes. Dr. Hsiung has worked on the topic of competing-risk analysis, which has wide applications in biomedical research. After Dr. Hsiung joined NHRI, she and her research team have been participating in an international genetic study--- Stanford Asia Pacific program in Hypertension and Insulin Resistance (SAPPHIRe).They have published papers on study of the association between hypertension/metabolic syndrome and polymorphisms for some candidate genes. They also published results on linkage analysis for quantitative traits related to metabolic syndrome based on the genome-wide scan data. In order to increase the power of the linkage tests, the team has proposed an allele sharing based multipoint linkage test that utilizes nonparametrically the additional endophenotypes. It is shown that the gain in power is influenced by the correlation between the endophenotype and the phenotype of main interest. Dr. Hsiungs research team also collaborates with investigators on microarray study design, gene expression data analysis and array-CGH data analysis. Their newly developed data analysis method to detect DNA copy number aberrations for array-CGH data is based on Bayes regression approach, which has been verified by real time PCR experiments indicating that the method outperforms other previously published methods. Recently, they also worked on bioinformatics models for predicting antigenic variants of influenza A/H3N2 virus based on sequence data.


- Eleded Fellow, Institute of Mathematical Statistics, USA 1994
- Outstanding Research Award, National Science Council, Taiwan, 1991-1993
- SunYat-Sen Award for Outstanding Research, Taiwan, 1988
- Elected Member, International Statistical Institutes, 1985


1. Liao YC, Lee MS, Ko CY and Hsiung CA*,."Bioinformatics Models for Predicting Antigenic Variants of Influenza A/H3N2 Virus" Bioinformatics, 2008 (in press).

2. Chiu YF, Chuang LM, Kao HY, Ho LT, Ting CT, Hung YJ, Chen YD,Donlon T, Curb JD, Quertermous T and Hsiung CA*, "Bivariate Genome-wide Scan for Metabolic Phenotypes in Non-diabetic Chinese Individuals from the Stanford Asia Pacific Program of Hypertension and Insulin Resistance Family Study" Diabetologia, 50(8):1631-40, 2007.

3. Chang IS, Hsiung CA, Wen CC, Wu YJ ,Yang, C.C., "Non-parametric Maximum-Likelihood Estimation in a Semiparametric Mixture Model for Competing-Risks Data", Scandinavian Journal of Statistics, 34:870-895, 2007.

4. Hsiao CF, Chiu YF, Chiang FT, Ho LT, Lee WJ, Hung YJ, Chen YD, Donlon TA, Jorgenson E, Curb D, Risch N, Hsiung CA*,"Genome-wide linkage analysis of lipids in non-diabetic Chinese and Japanese from the SAPPHIRe family study," American Journal of Hypertension, 19(12):1270-1277, 2006.

5. Wang WC, Chang IS, Chang CH, Curb D, Ho LT, Hsiung CA*."Incorporating endophenotypes into allele-sharing based linkage tests," Genetic Epidemiology. 30(2):133-42, 2006.

6. Wen CC, Wu YJ, Huang YH, Chen WC, Liu SC, Jiang SS, Juang JL, Hsiung CA and Chang IS."A Bayes regression approach to array-CGH data," Statistical Applications in Genetics and Molecular Biology. 5(1):Article3. Epub 2006 Feb 16

7. Chiu, Y.F., Chuang, L.M., Hsiao,C.F., Hung,Y.J., Lin, M.W., Chen, Y.T., Grove J., Jorgenson, E., Quertermous, T., Risch, N., and Hsiung, C.A.*."An autosomal genomewide scan for loci linked to pre-diabetic phenotypes in nondiabetic Chinese subjects from the Stanford Asia-Pacific Program of Hypertension and Insulin Resistance family study." Diabetes. 54:1200-1206, 2005.

8. Chang, I.S., Hsiung, C.A*., Wang, M.C. and Wen, C.C."An asymptotic theory for the non-parametric maximum likelihood estimator in the Cox-gene model" Bernonlli. 11(5):863-892, 2005

(* = Corresponding Author)


- ROC Patent No.I286573 "Cross-species nucleic acid probes", Granted September 11,2007