Evidence map›Paper›PMID 23209582›Full record

ArticlePloS one2012

A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.

Saber Qanbari, Tim M Strom, Georg Haberer, Steffen Weigend, Almas A Gheyas, Frances Turner, David W Burt, Rudolf Preisinger, Daniel Gianola, Henner Simianer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 70 citations in OpenAlex.

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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

10 authors at 7 institutions in 3 countries.

Saber QanbariAnimal Breeding and Genetics Group, Department of Animal Sciences, Georg-August University, Göttingen, Germany. sqanbar@gwdg.de
Tim M Strom
Georg Haberer
Steffen Weigend
Almas A Gheyas
Frances Turner
David W Burt
Rudolf Preisinger
Daniel Gianola
Henner Simianer
University of Edinburgh · GBUniversity of Göttingen · DEFriedrich-Loeffler-Institut · DEHelmholtz Zentrum München · DEInstitute of Bioinformatics and Systems Biology · DELohmann Tierzucht (Germany) · DEUniversity of Wisconsin–Madison · US

Funding

Biotechnology and Biological Sciences Research Council BB/D523578/1Biotechnology and Biological Sciences Research Council BB/I011005/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211550Biotechnology and Biological Sciences Research Council BBS/E/D/20211554Biotechnology and Biological Sciences Research Council BBS/E/D/20320000Biotechnology and Biological Sciences Research Council BBS/E/R/00000690Biotechnology and Biological Sciences Research Council G18647Medical Research Council G0900740
6 · The paper itself

Abstract

In most studies aimed at localizing footprints of past selection, outliers at tails of the empirical distribution of a given test statistic are assumed to reflect locus-specific selective forces. Significance cutoffs are subjectively determined, rather than being related to a clear set of hypotheses. Here, we define an empirical p-value for the summary statistic by means of a permutation method that uses the observed SNP structure in the real data. To illustrate the methodology, we applied our approach to a panel of 2.9 million autosomal SNPs identified from re-sequencing a pool of 15 individuals from a brown egg layer line. We scanned the genome for local reductions in heterozygosity, suggestive of selective sweeps. We also employed a modified sliding window approach that accounts for gaps in the sequence and increases scanning resolution by moving the overlapping windows by steps of one SNP only, and suggest to call this a "creeping window" strategy. The approach confirmed selective sweeps in the region of previously described candidate genes, i.e. TSHR, PRL, PRLHR, INSR, LEPR, IGF1, and NRAMP1 when used as positive controls. The genome scan revealed 82 distinct regions with strong evidence of selection (genome-wide p-value<0.001), including genes known to be associated with eggshell structure and immune system such as CALB1 and GAL cluster, respectively. A substantial proportion of signals was found in poor gene content regions including the most extreme signal on chromosome 1. The observation of multiple signals in a highly selected layer line of chicken is consistent with the hypothesis that egg production is a complex trait controlled by many genes.

Indexed as

Genome-Wide Association StudySelection, GeneticAnimalsChickensComputer SimulationFemaleModels, GeneticPolymorphism, Single NucleotideQuantitative Trait LociReproducibility of Results

Identifiers

PMID23209582
PMCPMC3510216
OpenAlexW2157449064

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.