Evidence map›Paper›PMID 23071458›Full record

ArticlePLoS genetics2012

Distinguishing between selective sweeps from standing variation and from a de novo mutation.

Benjamin M Peter, Emilia Huerta-Sanchez, Rasmus Nielsen

Abstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing 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

112 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Coalescence and translation: A language model for population genetics.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  10. An ancient origin of the naked grains of maize.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
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  14. Article
  15. Review
  16. Article
  17. Article
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  19. Article
  20. Article

52 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.

Benjamin M PeterDepartment of Integrative Biology, University of California Berkeley, Berkeley, California, USA. bp@berkeley.edu
Emilia Huerta-Sanchez
Rasmus Nielsen

Funding

Population Genetic Inferences From Dense Genotype DataR01HG003229 · NHGRI · CORNELL UNIVERSITY ITHACA · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2004 to 2013
$4.8M
Inferring Multiple-SNP Disease Association with DNA Resequence DataR01MH084695 · NIMH · CORNELL UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2008 to 2010
$1.1M
NHGRI NIH HHS 2R01HG003229NHGRI NIH HHS R01 HG003229NIMH NIH HHS 1R01MH084695NIMH NIH HHS R01 MH084695
6 · The paper itself

Abstract

An outstanding question in human genetics has been the degree to which adaptation occurs from standing genetic variation or from de novo mutations. Here, we combine several common statistics used to detect selection in an Approximate Bayesian Computation (ABC) framework, with the goal of discriminating between models of selection and providing estimates of the age of selected alleles and the selection coefficients acting on them. We use simulations to assess the power and accuracy of our method and apply it to seven of the strongest sweeps currently known in humans. We identify two genes, ASPM and PSCA, that are most likely affected by selection on standing variation; and we find three genes, ADH1B, LCT, and EDAR, in which the adaptive alleles seem to have swept from a new mutation. We also confirm evidence of selection for one further gene, TRPV6. In one gene, G6PD, neither neutral models nor models of selective sweeps fit the data, presumably because this locus has been subject to balancing selection.

Indexed as

Genetic VariationModels, GeneticMutationSelection, GeneticAlgorithmsBayes TheoremComputer SimulationHumansReproducibility of Results

Identifiers

PMID23071458
PMCPMC3469416

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.