Evidence map›Paper›PMID 24586189›Full record

ArticlePLoS genetics2014

Classic selective sweeps revealed by massive sequencing in cattle.

Saber Qanbari, Hubert Pausch, Sandra Jansen, Mehmet Somel, Tim M Strom, Ruedi Fries, Rasmus Nielsen, Henner Simianer

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 2 pooled it
19.8field-weighted citation impact, top 1% 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

136 citing papers in PubMed, 2 syntheses or guidelines pooled it, 257 citations in OpenAlex.

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76 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

8 authors at 4 institutions in 2 countries.

Saber QanbariAnimal Breeding and Genetics Group, Department of Animal Sciences, Georg-August University, Goettingen, Germany.
Hubert PauschChair of Animal Breeding, Technische Universitaet Muenchen, Munich, Germany.
Sandra JansenChair of Animal Breeding, Technische Universitaet Muenchen, Munich, Germany.
Mehmet SomelDepartments of Integrative Biology and Statistics, University of California at Berkeley, Berkeley, California, United States of America.
Tim M StromInstitute of Human Genetics, Helmholtz Zentrum München, Munich, Germany.
Ruedi FriesChair of Animal Breeding, Technische Universitaet Muenchen, Munich, Germany.
Rasmus NielsenDepartments of Integrative Biology and Statistics, University of California at Berkeley, Berkeley, California, United States of America.
Henner SimianerAnimal Breeding and Genetics Group, Department of Animal Sciences, Georg-August University, Goettingen, Germany.
Technical University of Munich · DEUniversity of California, Berkeley · USUniversity of Göttingen · DEHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human driven selection during domestication and subsequent breed formation has likely left detectable signatures within the genome of modern cattle. The elucidation of these signatures of selection is of interest from the perspective of evolutionary biology, and for identifying domestication-related genes that ultimately may help to further genetically improve this economically important animal. To this end, we employed a panel of more than 15 million autosomal SNPs identified from re-sequencing of 43 Fleckvieh animals. We mainly applied two somewhat complementary statistics, the integrated Haplotype Homozygosity Score (iHS) reflecting primarily ongoing selection, and the Composite of Likelihood Ratio (CLR) having the most power to detect completed selection after fixation of the advantageous allele. We find 106 candidate selection regions, many of which are harboring genes related to phenotypes relevant in domestication, such as coat coloring pattern, neurobehavioral functioning and sensory perception including KIT, MITF, MC1R, NRG4, Erbb4, TMEM132D and TAS2R16, among others. To further investigate the relationship between genes with signatures of selection and genes identified in QTL mapping studies, we use a sample of 3062 animals to perform four genome-wide association analyses using appearance traits, body size and somatic cell count. We show that regions associated with coat coloring significantly (P<0.0001) overlap with the candidate selection regions, suggesting that the selection signals we identify are associated with traits known to be affected by selection during domestication. Results also provide further evidence regarding the complexity of the genetics underlying coat coloring in cattle. This study illustrates the potential of population genetic approaches for identifying genomic regions affecting domestication-related phenotypes and further helps to identify specific regions targeted by selection during speciation, domestication and breed formation of cattle. We also show that Linkage Disequilibrium (LD) decays in cattle at a much faster rate than previously thought.

Indexed as

Genetics, PopulationGenome-Wide Association StudySelection, GeneticAnimalsAnimals, DomesticBreedingCattleHaplotypesHumansLinkage DisequilibriumPolymorphism, Single Nucleotide

Identifiers

PMID24586189
PMCPMC3937232
OpenAlexW2047669864

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.