Mixed Models and Confounding Factors Talk @ Simons Institute

mouse-phylogeny-slideI recently gave a talk on mixed models and confounding factors which is a long time interest of our research group at a workshop which is part of the Evolutionary Biology and the Theory of Computing program which was held at the Simons Institute on the UC Berkeley Campus. The talk was held on February 21st. This talk spans many years of work in our group including work by Hyun Min Kang (now at Michigan), Noah Zaitlen (now at UCSF), and Jimmie Ye (now at Harvard) as well as a sneak peak at very recent work by Joanne Joo, Jae-Hoon Sul and Buhm Han.

The video of the talk is available here and is also on our YouTube Channel ZarlabUCLA.

The papers which are covered in the talk include the EMMA, EMMAX and ICE papers published in 2008 as well as a very new paper that should be coming out soon. The key papers from the talk are:

Kang, Hyun Min; Sul, Jae Hoon ; Service, Susan K; Zaitlen, Noah A; Kong, Sit-Yee Y; Freimer, Nelson B; Sabatti, Chiara ; Eskin, Eleazar

Variance component model to account for sample structure in genome-wide association studies. Journal Article

In: Nat Genet, 42 (4), pp. 348-54, 2010, ISSN: 1546-1718.

Abstract | Links | BibTeX

Kang, Hyun Min; Zaitlen, Noah A; Wade, Claire M; Kirby, Andrew ; Heckerman, David ; Daly, Mark J; Eskin, Eleazar

Efficient control of population structure in model organism association mapping. Journal Article

In: Genetics, 178 (3), pp. 1709-23, 2008, ISSN: 0016-6731.

Abstract | Links | BibTeX

Kang, Hyun Min; Ye, Chun ; Eskin, Eleazar

Accurate discovery of expression quantitative trait loci under confounding from spurious and genuine regulatory hotspots. Journal Article

In: Genetics, 180 (4), pp. 1909-25, 2008, ISSN: 0016-6731.

Abstract | Links | BibTeX