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Josephine Hoh, Ph.D.
Associate Professor of Epidemiology & Public Health
Associate Professor of Ophthalmology & Visual Science
Phone: (203) 785-6831
Fax: (203) 785-6279
or (203) 785-6980
josephine.hoh@yale.edu
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Research Interests:
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Researchers have concluded that for a person to develop a chronic disorder, he/she (i) must be inherently susceptible and (ii) must have been affected with the triggering agents, many for an extended period of time. Stochastic events (iii) are also responsible, though percent contributions to the disease from each category, (i), (ii), and (iii), vary among diseases. My research goals are to understand the principle of interactions among genes, environmental exposures as well as stochastic random effects in relationship to the disease expression and pathogenesis. In collaboration with epidemiologists, statisticians, computer scientists, molecular biologists and physicians, our strategy is to develop an organized and systematic approach to tackle the problem through the analysis of several chronic diseases. At the moment we are investigating age-related macular degeneration (AMD). My laboratory is in the middle of a pilot epidemiological study in a well-defined population. After collecting extensive data of both genetic and environmental variables, statistical/bioinformatic analyses will determine the required sample size and select the candidate AMD-associating variables for the subsequent large-scale study. Together with the epidemiology studies, powerful computational predictions combined with laboratory confirmations in the relevant cell culture lines and experimental organisms are additional pivotal elements in my laboratory's approach. |
Selected Publications:
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Hoh, J. and Ott, J. Mathematical multi-locus approaches to localizing complex human trait genes. Nat Rev Genet 4(9): 701-709, 2003.
Hoh, J., Matsuda, F., Peng, X., Markovic, D., Lathrop, M.G., and Ott, J. SNP haplotype tagging from DNA pools of two individuals. BMC Bioinformatics 4(1): 14, 2003.
Hoh, J., Zee, R., Cheng, S., Reynolds, R., Grow, M.A., Silbergleit, A., Zangenberg, G., Walker, K., Steiner, L., Fernandez-Ortiz, A., Macaya, C., Pintor, E., Fernandez-Cruz, A., Ott, J., and Lindpaintner, K. Multi-locus interactions predict risk for post-PTCA restenosis: an approach to the genetic analysis of common complex disease. Pharmacogenomics 2(3): 197-201, 2002.
Hoh, J., Jin, S., Parrado, T., Edington, J., Levine, A.J., and Ott, J. The p53MH algorithm and its application in detecting p53-responsive genes. Proc Natl Acad Sci USA 99: 8467-8472, 2002.
Hoh, J., Wille, A., and Ott, J. Trimming, weighting and grouping SNPs in human case-control association studies. Genome Res 11(12): 2115-2119, 2001.
Hoh, J., Wille, A., Zee, R., Cheng, S., Reynolds, R., Lindpaintner, K., and Ott, J. Selecting SNPs in two-stage analysis of disease association data: a model-free approach. Ann Hum Genet 64: 413-417, 2000.
Hoh, J. and Ott, J. Scan statistics to scan markers for susceptibility genes. Proc Natl Acad Sci USA 97(17): 9615-9617, 2000.
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