We are excited to welcome Xin Huang as a postdoc in the group. As a PhD student, Xin carried out beautiful work characterizing differences in selection between human populations. With the Gutenkunst group, he’ll be pushing our recent joint DFE work forward.
Congratulations to Brian Mannakee, who just defended his Ph.D. dissertation “Statistical methods for improving low frequency variant calling in cancer genomics”. Dr. Mannakee is leaving the Gutenkunst group to become a Bioinformatics Scientist at Foundation Medicine.
How different do we expect the fitness effects of a new mutation to be in different populations? And how does the expected difference depend on the function of the mutated gene, the divergence of the two populations, and other factors?
In our preprint just posted on bioRxiv, we address these questions by introducing the concept of a joint distribution of fitness effects (DFE) between populations and inferring the joint DFE between populations of humans, fruitflies, and wild tomatoes. Plus, code for carrying out this sort of analysis is now available in dadi.
We’re particularly excited about this work, because it offers a new genome-wide perspective on the genetics of population divergence. There is still a great deal to learn about the joint DFE, which will require both more applications to data and more methodological development.
If this sounds interesting, we’re hiring postdocs.
We are actively recruiting one or two postdoctoral scholars to work on methods for quantitatively inferring novel models of natural selection from population genomic data. These positions are funded by our recent R01 award (see below for details). To apply, please visit http://uacareers.com/postings/34950 . For questions, please contact Ryan Gutenkunst.
Our R01 proposal “Joint inferences of natural selection between sites and populations” has been funded by NIH for 5 years. Briefly, our goals are to 1) infer quantitative models of linked natural selection and 2) infer joint distributions of fitness effects between populations. To accomplish these goals, we will develop new inference methods and apply them to data from humans, Drosphila, and other species. (For slightly more detail, see our Specific Aims.) To carry out this project, we will be hiring at least one postdoc and grad student. Interested applicants are encouraged to contact Ryan.