Charalampos (Babis) Papachristou, PhD
Charalampos (Babis) Papachristou
Assistant Professor of Statistics
215.596.7615
Office: STC 213
E-mail: babis@usp.edu
Education:
Ph.D, Statistical Genetics, Ohio State University
B.S., Mathematics, The Aristotle University of Thessaloniki in Greece
Background:
Dr. Papachristou’s research focuses on applications of probability and statistics to genetics. In particular, he is interested in developing novel methodologies for identifying, with high confidence, chromosomal regions that harbor disease susceptibility genes (loci). This is usually done through the analysis of marker (landmarks on the genome) data from genetic studies involving families (pedigrees) with multiple affected individuals. The large volume of data generated by such studies as well as the complex dependencies in these data pose many interesting and challenging research questions. His work specifically aims at addressing some of these problems.
Publications:
Papachristou, C. and Lin, S. (2006c) "Comparison of methods for constructing confidence intervals for the location of putative trait loci", Genetic Epidemiology 30:677-689.
Papachristou, C. and Lin, S. (2006b) "A two step procedure for the construction of confidence regions for putative trait loci with application to data from families with multiple cases of Rheumatoid Arthritis", Genetic Epidemiology 30:18-29.
Papachristou, C. and Lin, S. (2006a) "Microsatellites versus single-nucleotide polymorphisms in confidence interval estimation of disease loci", Genetic Epidemiology 30:3-17.
Papachristou, C. and Lin, S. (2005b). "A confidence set inference procedure for gene mapping using markers with incomplete polymorphism", Human Heredity, 59:1-13.
Papachristou, C. and Lin, S. (2005a) "Interval estimation of disease loci - Development and applications of new linkage methods", BMC Genetics, 6(Suppl 1):S21
Biswas, S., Papachristou, C., Irwin, M. and Lin, S. (2003). "Linkage analysis of the simulated data – Evaluations and comparisons of methods", BMC Genetics, 4:S70.