Evidence map›Paper›PMID 27353047›Full record

ReviewHeredity2016

Prediction and estimation of effective population size.

J Wang, E Santiago, A Caballero

Abstract readReview
In one paragraph

Review in Heredity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed, 1 pooled it
–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

151 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Effective population size and NBMC ecology and evolution · 2026
    Article
  6. Article
  7. Recent population history in Swedish cattle breeds.Genetics, selection, evolution : GSE · 2026
    Article
  8. Article
  9. Global genomic diversity of the selfing nematodebioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Combining Multiple Genetic Estimates of NMolecular ecology resources · 2026
    Article
  13. The evolution of genetic drift over 50,000 generations.bioRxiv : the preprint server for biology · 2026
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

91 more citing papers are in PubMed but not listed here.

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

3 authors.

J WangInstitute of Zoology, Zoological Society of London, London, UK.
E SantiagoDepartamento de Biología Funcional, Facultad de Biología, Universidad de Oviedo, Oviedo, Spain.
A CaballeroDepartamento de Bioquímica, Genética e Inmunología, Facultad de Biología, Universidad de Vigo, Vigo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective population size (Ne) is a key parameter in population genetics. It has important applications in evolutionary biology, conservation genetics and plant and animal breeding, because it measures the rates of genetic drift and inbreeding and affects the efficacy of systematic evolutionary forces, such as mutation, selection and migration. We review the developments in predictive equations and estimation methodologies of effective size. In the prediction part, we focus on the equations for populations with different modes of reproduction, for populations under selection for unlinked or linked loci and for the specific applications to conservation genetics. In the estimation part, we focus on methods developed for estimating the current or recent effective size from molecular marker or sequence data. We discuss some underdeveloped areas in predicting and estimating Ne for future research.

Indexed as

Models, GeneticPopulation DensityBiological EvolutionGene FrequencyGenetic DriftGenetic LinkageGenetic MarkersGenetics, PopulationInbreedingLinkage DisequilibriumMutationReproductionSelection, GeneticGenetic Markers

Identifiers

PMID27353047
PMCPMC5026755

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.