Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313236334> ?p ?o ?g. }
- W4313236334 abstract "Ancient genome sequencing technologies now provide the opportunity to study natural selection in unprecedented detail. Rather than making inferences from indirect footprints left by selection in present-day genomes, we can directly observe whether a given allele was present or absent in a particular region of the world at almost any period of human history within the last 10,000 years. Methods for studying selection using ancient genomes often rely on partitioning individuals into discrete time periods or regions of the world. However, a complete understanding of natural selection requires more nuanced statistical methods which can explicitly model allele frequency changes in a continuum across space and time. Here we introduce a method for inferring the spread of a beneficial allele across a landscape using two-dimensional partial differential equations. Unlike previous approaches, our framework can handle time-stamped ancient samples, as well as genotype likelihoods and pseudohaploid sequences from low-coverage genomes. We apply the method to a panel of published ancient West Eurasian genomes to produce dynamic maps showcasing the inferred spread of candidate beneficial alleles over time and space. We also provide estimates for the strength of selection and diffusion rate for each of these alleles. Finally, we highlight possible avenues of improvement for accurately tracing the spread of beneficial alleles in more complex scenarios." @default.
- W4313236334 created "2023-01-06" @default.
- W4313236334 creator A5027476864 @default.
- W4313236334 creator A5027542369 @default.
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- W4313236334 creator A5074262619 @default.
- W4313236334 creator A5077982032 @default.
- W4313236334 date "2022-12-20" @default.
- W4313236334 modified "2023-10-14" @default.
- W4313236334 title "Modeling the spatiotemporal spread of beneficial alleles using ancient genomes" @default.
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- W4313236334 doi "https://doi.org/10.7554/elife.73767" @default.
- W4313236334 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36537881" @default.
- W4313236334 hasPublicationYear "2022" @default.
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