Thesis Defense: Dr. Jong Wha (Joanne) Joo

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:

Joo, Jong Wha J; Hormozdiari, Farhad; Han, Buhm; Eskin, Eleazar

Multiple testing correction in linear mixed models. Journal Article

In: Genome Biol, 17 (1), pp. 62, 2016, ISSN: 1474-760X.

Abstract | Links | BibTeX

Joo, Jong Wha J; Kang, Eun Yong; Org, Elin; Furlotte, Nick; Parks, Brian; Lusis, Aldons J; Eskin, Eleazar

Efficient and Accurate Multiple-Phenotypes Regression Method for High Dimensional Data Considering Population Structure Book Chapter

In: Research in Computational Molecular Biology, pp. 136-153, Springer International Publishing, 2015.

Abstract | Links | BibTeX

Joo, Jong Wha J; Sul, Jae Hoon ; Han, Buhm ; Ye, Chun ; Eskin, Eleazar

Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies. Journal Article

In: Genome Biol, 15 (4), pp. R61, 2014, ISSN: 1465-6914.

Abstract | Links | BibTeX

About Lana Martin

i write and teach.