What do we do?
Our primary research theme at the Population Genetics Group is centred around drawing statistical inference from DNA polymorphism data – specifically, describing the processes that determine the amount and distribution of genetic variation within and between natural populations, and between species. We work on both applied and theoretical problems in fields ranging from population genomics to medical genetics. We focus on developing statistical methodology to infer the parameters of positive selection for specific sites in the genome, as well as on characterizing the full distribution of fitness effects of all new, segregating and fixed mutations in the genome.
In 2016, we continued our focus on statistical inference in population genetics –both in natural and experimental settings.
Main publications 2016
- Ewing, G. and J.D. Jensen, 2016. The consequences of not accounting for background selection in demographic inference. Mol Ecol 25(1): 135-141.
- Bank, C., N. Renzette, P. Liu, S. Matuszewski, H. Shim, M. Foll, D.N. Bolon, T.F. Kowalik, R.W. Finberg, J.P. Wang, and J.D. Jensen. 2016. An experimental evaluation of drug induced mutational meltdown as an antiviral treatment strategy. Evolution 70: 2470-84.
- Bank, C.(*), S. Matuszewski(*), R.T. Hietpas, and J.D. Jensen. 2016. On the (un)predictability of a large intragenic fitness landscape. PNAS 113: 14085-90.