Evidence map›Paper›PMID 27317680›Full record

ArticleGenetics2016

Estimating the Number of Subpopulations (K) in Structured Populations.

Robert Verity, Richard A Nichols

Abstract read
In one paragraph

Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
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  5. Review
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  9. Candidate gene analysis of rice grain shape based on genome-wide association study.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  10. Article
  11. The Conservation Genetics ofPlants (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Population genetic structure ofFrontiers in plant science · 2022
    Article
  19. Article
  20. Article
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.

Robert VerityMedical Research Council Centre for Outbreak Analysis and Modelling, Imperial College London, London W2 1PG, United Kingdom r.verity@imperial.ac.uk.
Richard A NicholsQueen Mary University of London, London E1 4NS, United Kingdom.ORCID 0000-0002-4801-9312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key quantity in the analysis of structured populations is the parameter K, which describes the number of subpopulations that make up the total population. Inference of K ideally proceeds via the model evidence, which is equivalent to the likelihood of the model. However, the evidence in favor of a particular value of K cannot usually be computed exactly, and instead programs such as Structure make use of heuristic estimators to approximate this quantity. We show-using simulated data sets small enough that the true evidence can be computed exactly-that these heuristics often fail to estimate the true evidence and that this can lead to incorrect conclusions about K Our proposed solution is to use thermodynamic integration (TI) to estimate the model evidence. After outlining the TI methodology we demonstrate the effectiveness of this approach, using a range of simulated data sets. We find that TI can be used to obtain estimates of the model evidence that are more accurate and precise than those based on heuristics. Furthermore, estimates of K based on these values are found to be more reliable than those based on a suite of model comparison statistics. Finally, we test our solution in a reanalysis of a white-footed mouse data set. The TI methodology is implemented for models both with and without admixture in the software MavericK1.0.

Indexed as

Genetics, PopulationModels, StatisticalAnimalsComputer SimulationMicePigments, BiologicalProbabilitySoftwarePigments, BiologicalKmodel comparisonmodel evidencepopulation structurethermodynamic integration

Identifiers

PMID27317680
PMCPMC4981280

What OpenQuestion holds

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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.