Evidence map›Paper›PMID 25575536›Full record

ArticleGenetics2015

Can the site-frequency spectrum distinguish exponential population growth from multiple-merger coalescents?

Bjarki Eldon, Matthias Birkner, Jochen Blath, Fabian Freund

Abstract read
In one paragraph

Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Rare variation in malaria parasites biases population-genetic inference.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Multiple merger coalescent inference of effective population size.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
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  13. How Can We Resolve Lewontin's Paradox?Genome biology and evolution · 2022
    Article
  14. Article
  15. Article
  16. Effects of Selection at Linked Sites on Patterns of Genetic Variability.Annual review of ecology, evolution, and systematics · 2021
    Article
  17. Article
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  19. Review
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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

4 authors.

Bjarki EldonTU Berlin, Institut für Mathematik, 10623 Berlin, Germany eldon@math.tu-berlin.de.
Matthias BirknerJGU Mainz, Institut für Mathematik, 55099 Mainz, Germany.
Jochen BlathTU Berlin, Institut für Mathematik, 10623 Berlin, Germany.
Fabian FreundUniversity of Hohenheim, Institute of Plant Breeding, Seed Science, and Population Genetics, 70599 Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of the site-frequency spectrum (SFS) to reflect the particularities of gene genealogies exhibiting multiple mergers of ancestral lines as opposed to those obtained in the presence of population growth is our focus. An excess of singletons is a well-known characteristic of both population growth and multiple mergers. Other aspects of the SFS, in particular, the weight of the right tail, are, however, affected in specific ways by the two model classes. Using an approximate likelihood method and minimum-distance statistics, our estimates of statistical power indicate that exponential and algebraic growth can indeed be distinguished from multiple-merger coalescents, even for moderate sample sizes, if the number of segregating sites is high enough. A normalized version of the SFS (nSFS) is also used as a summary statistic in an approximate Bayesian computation (ABC) approach. The results give further positive evidence as to the general eligibility of the SFS to distinguish between the different histories.

Indexed as

Models, GeneticBayes TheoremGenetics, PopulationLikelihood FunctionsPopulation Growthapproximate Bayesian computationapproximate maximum likelihood testcoalescentmultiple mergerspopulation growthsite-frequency spectrum

Identifiers

PMID25575536
PMCPMC4349076

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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.