Jong Wha (Joanne) Joo successfully defended her thesis,”Design of efficient and accurate statistical approaches to correct for confounding effects in genetic association studies,” on Friday, December 4, 2015 in Boelter 4760. Her talk, which is posted on our YouTube channel ZarlabUCLA, discusses using a mixed model analysis (GAMMA) to efficiently analyzes large numbers of phenotypes while simultaneously considering population structure, an expression quantitative trait loci (eQTL) mapping tool to eliminate spurious hotspots while retaining genuine regulatory hotspots, and a multiple testing correction method (slideLMM) for linear mixed models.
More details about her research are available in the three papers she discusses:
Sorry, no publications matched your criteria.
