Systematically Detect Fine Scale Crossover Breakpoints with High Density SNP Markers in Three Generation Tri-Trio Pedigrees
The importance of studying genetic variants in humans has given rise to the worldwide HapMap Project, which can potentially lead to techniques to diagnose, treat, or prevent illnesses according to each persons different genetic makeup, thus enhancing efficacy. This project tests a method to identify crossover breakpoint regions at a higher resolution than previous studies have. Because single nucleotide polymorphisms are bi-allele, their limited number of states can be analyzed case by case in advance; studying families of three generations using tri-trio pedigree charts allows for the deduction of information about the child, thus enabling the detection of crossover breakpoints regions within chromosomes. An automation in R language is being developed, which can test larger data sets efficiently.
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- Major: Mathematics
- Mentor: Rainer Sachs, Mathematics