Abstract by Cole A. Lyman

Personal Infomation

Presenter's Name

Cole A. Lyman

Degree Level



M. Stanley Fujimoto
Mark J. Clement

Abstract Infomation


Computer Science

Faculty Advisor

Mark Clement


Discovering Genome Wide Association using the Polygraph


Since the advent of DNA sequencing technology, uncovering the underlying cause of genetic diseases has become a reality through  Genome Wide Association Studies (GWAS). Over the past decade, many GWAS have been performed with varying degrees of effectiveness. A potential reason that some GWAS have proved ineffective is due to the relatively sparse input they take in, namely single nucleotide polymorphisms. Our work introduces a GWAS method that utilizes the entire genome sequence as input, with the benefit of detecting more complex types of mutations than just single nucleotide polymorphisms. We illustrate the foundational methodology as well as preliminary results for an antibiotic resistance GWAS in Staphylococcus aureus.