Ellen M. Wijsman, Ph.D.Professor of Biostatistics and Medicine |
Dr. Wijsman's research is directed towards the development and application of quantitative methods for analysis of human genetic data, including techniques of gene mapping, modeling modes of inheritance, and identifying regions of identify-by-descent through linkage disequilibrium analysis. Disorders under investigation currently include Alzheimer’s disease (AD), dyslexia, autism, cardiovascular disease, and ALS. Application of such methods in Dr. Wijsman's research group has lead to genes involved in Werner's syndrome and familial AD. Computational constraints in analyses of complex diseases has lead to a search for alternative methods of analysis. Dr. Wijsman is working on the development and evaluation of Monte Carlo Markov chain methods of analysis in situations where current methods are computationally impractical. Current studies indicate that these methods provide a mechanism for identifying both the number of underlying contributory loci and their genome locations, by providing a computationally tractable approach to multipoint analysis of large pedigrees in the presence of complex modes of inheritance.
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