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.
King L, Wakeley J, Carmi S. 2018. A non-zero variance of Tajima's estimator for two sequences even for infinitely many unlinked loci. Theor Pop Biol. 122:22-29.
McAvoy A, Fraiman N, Hauert C, Wakeley J, Nowak MN. 2018. Public goods games in populations with fluctuating size. Theor Pop Biol. 121:72-84.
Wilton PR, Baduel P, Landon MM, Wakeley J. 2017. Population structure and coalescence in pedigrees: Comparisons to the structured coalescent and a framework for inference. Theor Pop Biol. 115:1-12.
King L, Wakeley J. 2016. Empirical Bayes estimation of coalescence times from nucleotide sequence data. Genetics. 204:249-257.
Roth FP, Wakeley J. 2016. Taking exception to human eugenics. Genetics. 204:821-823.
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.
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