Yandell's Research Activities

Research interests have arisen from joint work with scientists, particularly across the biological sciences in conjunction with Biometry statistical consulting responsibilities.

Recent work (noted since 2001) has been largely in statistical genomics, concerning data analysis, methodology and design [A 50--52, 54--65, 67, 76--78; B 2--3, 4; E 9--11]. Methodology research on quantitative trait loci (QTL) has addressed linkage map construction [A 54--55], semi-parametric and non-parametric inference [A 52, 57, 61, 63, 73; E 10], experimental design [A 64], Bayesian model selection [A 67, 79--81], and expression QTL or genetical genomics [A 60, 68, 70--71, 82, 84--85], and fine mapping [A 68, 72]. Several additional applied collaborations have involved microarray analysis [A 56, 58--59, 62, 65, 69, 75; B 1; E 9]. Bayesian model selection for genetic architecture (location and gene action of multiple QTL) has been a major thrust of methodological research, largely in the development of computational resources. I have subcontracts on two NIH software development grants, with Karl Broman, Johns Hopkins U, and Gary Churchill, Jackson Laboratory, and with Nengjun Yi and David Allison at U AL Birmingham. These involve enhancements to the widely used R/qtl library and a new Bayesian model selection library (R/qtlbim) was released in 2006 [A 78]; a QTL-dependent phenotype causal graph package (R/qdg) was released in Summer 2008.

* Citations in brackets refer to Curriculum Vitae.

Brian Yandell (yandell@stat.wisc.edu)