Yen-Feng Chiu, Ph.D.
Institute of Population Health Sciences
EDUCATIONPh.D., Biostatistics, Johns Hopkins University, Baltimore, Maryland. (1999)
M.S., Statistics, National Central University, Chung-Li, Taiwan. (1991)
B.B.A. Business Mathematics, Soochow University, Taipei, Taiwan.(1989)
PROFESSIONAL EXPERIENCESAssociate Investigator, Division of Biostatistics and Bioinformatics, National Health Research Institutes (2006 - present)
Assistant Investigator, Division of Biostatistics and Bioinformatics, National Health Research Institutes (2002 - 2006)
Research Assistant Professor, Department of Biostatistics University of North Carolina at Chapel Hill (2000 -2002)
Post-doctoral fellow in Biostatistics, Johns Hopkins University, Baltimore, Maryland. (1999 - 2000)
Research Assistant, Division of Genetics, Department of Epidemiology, Johns Hopkins University. (1994 - 1999)
RESEARCH INTERESTSDr. Chiu’s primary research area is the development, implementation, and application of statistical genetics. Specific examples, such as multipoint linkage analysis, association analysis and allele sharing method, are applied particularly to family based or case-control epidemiological study to identify susceptibility genes for genetic diseases. She has been actively involving in several genetic epidemiological studies including the Stanford Asia Pacific Program in Hypertension and Insulin Resistance (SAPPHIRe), International Genetic Epidemiologic Study of Oral Cleft, Fine Mapping and Search for the Genetic Factors that Affect Insulin Resistance and Plasma Adiponectin Level in Chinese Population and Alcohol Pharmacogenetics in Taiwanese. Her other areas of collaborative research include the Healthy Aging Longitudinal Study and clinical trials conducted by the Taiwan Cooperative Oncology Group.
RESEARCH ACTIVITIES & ACCOMPLISHMENTSDr. Chiu’s methodological research focuses on the areas of genetic linkage and association studies. She has been involved in developing a series of multipoint linkage methods applied in the affected sib pairs design, which allow one to localize disease locus through point estimation than hypothesis testing. To utilize highthroughput genotyping data, she is currently interested in developing association-based methods by incorporating environment by gene interactions into fine-mapping using different study designs. Dr. Chiu has been participating in several genetic epidemiologic studies. She collaborates with scientists from different disciplines, aiming to localize trait locus (loci), to identify disease-causing genes and to help uncover underlying genetic mechanism of complex diseases. Apart from genetic epidemiological studies, Dr. Chiu has also involved in other epidemiological studies and clinical trials conducted by the Taiwan Cooperative Oncology Group.
SELECTED PUBLICATIONS1. Y.-F. Chiu, L.-M. Chuang, H.-Y. Kao, L.-T. Ho, C.-T. Ting, Y.-J. Hung, Y.-D. Chen, T. Donlon, J. D. Curb, T. Quertermous, C. A. Hsiung, The SAPPHIRe Study Group Bivariate genome-wide scan for metabolic phenotypes in non-diabetic Chinese individuals from the Stanford, Asia and Pacific Program of Hypertension and Insulin Resistance Family Study. Diabetologia 50: 1631-1640 (2007).
2. Chiu, Y.-F., Liang, K.-Y., Beaty TH, Chuang L-M, Incorporation of Covariates into Multipoint Linkage Disequilibrium Mapping in Case-Control Studies. Genetic Epidemiology (Early Review), 2007.
3. Chiu YF, Chiou JM, Chen YS, Kao HY, Hsu FC. Incorporating quantitative variables into linkage analysis using affected sib pairs. BMC Proceedings 2007, 1(Suppl 1): S98.
4. Y-F Chiu, L-M Chuang, C-F Hsiao, E Jorgenson, T Quertermous, N Risch, CA Hsiung. An autosomal genome-wide scan for loci linked to pre-diabetic phenotypes in non-diabetic Chinese from the SAPPHIRe family Study. Diabetes. 54:1200-1206, 2005.
5. Chiu YF, Liu SY, Tsai YY. A comparison in association and linkage genome-wide scans for alcoholism susceptibility genes using single-nucleotide polymorphisms. BMC Genet. Suppl. 1:S89, 2005.
6. Chiu, Y.-F., Liang, K.-Y. Conditional multipoint linkage analysis using affected sib pairs: an alternative approach. Genetic Epidemiology. 26:108-115, 2004.
7. Chiu, Y.-F., Liang, K.-Y., and Beaty, T.H., Multipoint linkage detection in the presence of heterogeneity. Biostatistics 3: 195-211, 2002.