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.