Evidence map›Paper›PMID 20407129›Full record

ArticleGenetics2010

Searching for footprints of positive selection in whole-genome SNP data from nonequilibrium populations.

Pavlos Pavlidis, Jeffrey D Jensen, Wolfgang Stephan

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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

105 citing papers in PubMed, 187 citations in OpenAlex.

  1. Deciphering genetic diversity and selection footprints in Rathi cattle through ddRAD-based genome-wide analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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  9. Population history across timescales in an urban archipelago.bioRxiv : the preprint server for biology · 2025
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  13. Review
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  19. IntroUNET: identifying introgressed alleles via semantic segmentation.bioRxiv : the preprint server for biology · 2024
    Article
  20. Article

45 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 at 2 institutions in 2 countries.

Pavlos PavlidisDepartment of Biology II, Ludwig-Maximilians-University Munich, 82152 Planegg, Germany. pavlidis@bio.lmu.de
Jeffrey D Jensen
Wolfgang Stephan
Ludwig-Maximilians-Universität München · DEUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major goal of population genomics is to reconstruct the history of natural populations and to infer the neutral and selective scenarios that can explain the present-day polymorphism patterns. However, the separation between neutral and selective hypotheses has proven hard, mainly because both may predict similar patterns in the genome. This study focuses on the development of methods that can be used to distinguish neutral from selective hypotheses in equilibrium and nonequilibrium populations. These methods utilize a combination of statistics on the basis of the site frequency spectrum (SFS) and linkage disequilibrium (LD). We investigate the patterns of genetic variation along recombining chromosomes using a multitude of comparisons between neutral and selective hypotheses, such as selection or neutrality in equilibrium and nonequilibrium populations and recurrent selection models. We perform hypothesis testing using the classical P-value approach, but we also introduce methods from the machine-learning field. We demonstrate that the combination of SFS- and LD-based statistics increases the power to detect recent positive selection in populations that have experienced past demographic changes.

Indexed as

GenomeLinkage DisequilibriumMetagenomicsSelection, GeneticAnimalsDrosophila melanogasterModels, GeneticModels, TheoreticalPolymorphism, Single NucleotideSoftware

Identifiers

PMID20407129
PMCPMC2907208
OpenAlexW2136557734

What OpenQuestion holds

Textmetadata
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.