Evidence map›Paper›PMID 26592162›Full record

ArticleTheoretical population biology2016

Isolation-by-distance-and-time in a stepping-stone model.

Nicolas Duforet-Frebourg, Montgomery Slatkin

Abstract read
In one paragraph

Article in Theoretical population biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. The effect of habitat loss and fragmentation on isolation by distance and divergence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. FHeredity · 2019
    Article
  10. Article
  11. Human bony labyrinth is an indicator of population history and dispersal from Africa.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Statistical methods for analyzing ancient DNA from hominins.Current opinion in genetics & development · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nicolas Duforet-FrebourgDepartment of Integrative Biology, University of California Berkeley, Berkeley, CA 94720, United States. Electronic address: duforetn@berkeley.edu.
Montgomery SlatkinDepartment of Integrative Biology, University of California Berkeley, Berkeley, CA 94720, United States.

Funding

MODELS OF COMPLEX GENETIC SYSTEMSR01GM040282 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SLATKIN, MONTGOMERY WILSON · 1988 to 2017
$4.4M
NIGMS NIH HHS R01 GM040282NIGMS NIH HHS R01-GM40282
6 · The paper itself

Abstract

With the great advances in ancient DNA extraction, genetic data are now obtained from geographically separated individuals from both present and past. However, population genetics theory about the joint effect of space and time has not been thoroughly studied. Based on the classical stepping-stone model, we develop the theory of Isolation by distance and time. We derive the correlation of allele frequencies between demes in the case where ancient samples are present, and investigate the impact of edge effects with forward-in-time simulations. We also derive results about coalescent times in circular and toroidal models. As one of the most common ways to investigate population structure is principal components analysis (PCA), we evaluate the impact of our theory on PCA plots. Our results demonstrate that time between samples is an important factor. Ancient samples tend to be drawn to the center of a PCA plot.

Indexed as

Genetics, PopulationModels, GeneticGene FlowGene FrequencyHumansPrincipal Component AnalysisAncient DNACoalescence timesIsolation-by-distancePrincipal component analysis

Identifiers

PMID26592162
PMCPMC4779737

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.