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… Read More »
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… Read More »
We are excited to welcome Paul Blischak to the group as a postdoc. Paul is supported by a National Plant Genome Initiative (NPGI) Postdoctoral Research Fellowship from the NSF, and he is being co-mentored by Prof. Mike Barker. During his fellowship, Paul will be working with Ryan on adapting dadi and other population genetics inference… Read More »
Our paper showing that recent GWAS prompt substantially less follow-up research into associated genes than older GWAS has been published in Human Genomics. It has been a long road to final publication, but we hope our work motivates new efforts to encourage GWAS follow-up.