SURF

Janet Luo

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.

Message to Sponsor

I feel fortunate to be given the opportunity to participate in SURF. Aside from learning fundamental concepts specific to this project, especially as a mathematics major venturing into biology, I am going behind the scenes in the entire research process, honing invaluable techniques on the way. In addition, this program has allowed me to apply my background in statistics and R language, which I had originally acquired in class, into an exciting new area. Perhaps most important of all, I am thankful for my mentors, because their continuous patience and eagerness in teaching and guiding me throughout the whole experience has definitely made the summer worthwhile.
  • Major: Mathematics
  • Mentor: Rainer Sachs, Mathematics