Getting More from GWAS
It is often possible to gain additional insights into your GWAS data by looking beyond individual SNP associations to consider more complex genetic features, such as haplotypes or homozygous segments. Some haplotypes may have stronger trait associations than are observed for the constituent SNPs. Analyzing runs of homozygosity (ROH) may reveal associations with recessive haplotypes or identify loci with multiple associated alleles.
In this webcast, Dr. Bryce Christensen will review the fundamentals of GWAS and the analytic features available in the Golden Helix SNP and Variation Suite (SVS), with particular emphasis on haplotypes, ROH, and other multi-marker analysis methods. The presentation will include an interactive demonstration of how SVS can be used for quality assurance, analysis, and visualization of high-density SNP data.
About the Presenter
Dr. Bryce Christensen fills two roles at Golden Helix as he is both the Director of Services as well as a Statistical Geneticist. Bryce joined GHI in 2009 from the University of Utah where he earned his PhD in Genetic Epidemiology and Biomedical Informatics. Before undertaking his graduate studies, Bryce worked for 2 years as a data analyst at Mayo Clinic in the Division of Biostatistics.