Inferring time-dependent migration and coalescence patterns from genetic sequence and predictor data in structured populations.

ABSTRACT: Population dynamics can be inferred from genetic sequence data by using phylodynamic methods. These methods typically quantify the dynamics in unstructured populations or assume migration rates and effective population sizes to be constant through time in structured populations. When considering rates to vary through time in structured populations, the number of parameters to infer increases rapidly and the available data might not be sufficient to inform these. Additionally, it is often of interest to know what predicts these parameters rather than knowing the parameters themselves. Here, we introduce a method to  infer the predictors for time-varying migration rates and effective population sizes by using a generalized linear model (GLM) approach under the marginal approximation of the s

SUBMITTER: Muller NF 

PROVIDER: S-EPMC6693038 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature