Evidence map›Paper›PMID 22411855›Full record

ArticleMolecular biology and evolution2012

Detecting selective sweeps from pooled next-generation sequencing samples.

Simon Boitard, Christian Schlötterer, Viola Nolte, Ram Vinay Pandey, Andreas Futschik

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Detecting Genetic Variation of ColonizingFrontiers in bioinformatics · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Within-population sperm competition intensity does not predict asymmetry in conpopulation sperm precedence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Genomic selection signatures in sheep from the Western Pyrenees.Genetics, selection, evolution : GSE · 2018
    Article
  19. Article
  20. Evolutionary toxicology in an omics world.Evolutionary applications · 2017
    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

5 authors.

Simon BoitardInstitut National de la Recherche Agronomique, Laboratoire de Génétique Cellulaire, Castanet-Tolosan, France. simon.boitard@toulouse.inra.fr
Christian Schlötterer
Viola Nolte
Ram Vinay Pandey
Andreas Futschik

Funding

Austrian Science Fund FWF P 22725
6 · The paper itself

Abstract

Due to its cost effectiveness, next-generation sequencing of pools of individuals (Pool-Seq) is becoming a popular strategy for characterizing variation in population samples. Because Pool-Seq provides genome-wide SNP frequency data, it is possible to use them for demographic inference and/or the identification of selective sweeps. Here, we introduce a statistical method that is designed to detect selective sweeps from pooled data by accounting for statistical challenges associated with Pool-Seq, namely sequencing errors and random sampling among chromosomes. This allows for an efficient use of the information: all base calls are included in the analysis, but the higher credibility of regions with higher coverage and base calls with better quality scores is accounted for. Computer simulations show that our method efficiently detects sweeps even at very low coverage (0.5× per chromosome). Indeed, the power of detecting sweeps is similar to what we could expect from sequences of individual chromosomes. Since the inference of selective sweeps is based on the allele frequency spectrum (AFS), we also provide a method to accurately estimate the AFS provided that the quality scores for the sequence reads are reliable. Applying our approach to Pool-Seq data from Drosophila melanogaster, we identify several selective sweep signatures on chromosome X that include some previously well-characterized sweeps like the wapl region.

Indexed as

Gene FrequencyHigh-Throughput Nucleotide SequencingModels, GeneticAlgorithmsAnimalsComputer SimulationDrosophila melanogasterFemaleGenetic VariationModels, StatisticalReproducibility of ResultsX Chromosome

Identifiers

PMID22411855
PMCPMC3424412

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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.