Estimating mobility using sparse data: Application to human genetic variation.

ABSTRACT: Mobility is one of the most important processes shaping spatiotemporal patterns of variation in genetic, morphological, and cultural traits. However, current approaches for inferring past migration episodes in the fields of archaeology and population genetics lack either temporal resolution or formal quantification of the underlying mobility, are poorly suited to spatially and temporally sparsely sampled data, and permit only limited systematic comparison between different time periods or geographic regions. Here we present an estimator of past mobility that addresses these issues by explicitly linking trait differentiation in space and time. We demonstrate the efficacy of this estimator using spatiotemporally explicit simulations and apply it to a large set of ancient genomic data from We

SUBMITTER: Loog L 

PROVIDER: S-EPMC5699029 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature