Faculty Support: Stephanie Hillsgrove
Population samples of DNA sequences contain information about both contemporary and ancient processes and events. I use mathematical models to describe how these current and historical factors conspire to produce the patterns of genetic variation which are readily observable among individuals within species. I employ both analytical and computational techniques to make inferences about these factors from patterns of genetic variation. The field I work in is called Theoretical Population Genetics. Follow the link to the Lab website below for more information, especially about the exciting research being done by other members of the group.
Wakeley J, King L, Wilton PR. 2016. Effects of the population pedigree on genetic signatures of historical demographic events. PNAS. 113 (29) :7994-8001
Wakeley J, Wilton PR. 2016. Coalescent and models of identity by descent. In: Encyclopedia of Evolutionary Biology. Vol 1. Oxford: Academic Press :287-292.
Palamara PF, Francioli LC, Wilton PR, et al. 2015. Leveraging distant relatedness to quantify human mutation and gene-conversion rates. Am. J. Hum. Genetics 97(6) :775-789.
Palacios JA, Wakeley J, Ramachandran S. 2015. Bayesian Nonparametric Inference of Population Size Changes from Sequential Genealogies. Genetics 201:281-304
Carmi S, Wilton PR, Wakeley J, Pe'er I. 2014. A renewal theory approach to IBD sharing. Theoret. Pop. Biol. 97:35-48.
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