Evidence map›Paper›PMID 25126940›Full record

ArticlePloS one2014

Selection signatures in worldwide sheep populations.

Maria-Ines Fariello, Bertrand Servin, Gwenola Tosser-Klopp, Rachel Rupp, Carole Moreno, International Sheep Genomics Consortium, Magali San Cristobal, Simon Boitard

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

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  14. OvineArchives animal breeding · 2025
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  16. Review
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36 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.

Maria-Ines FarielloGénétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique & Ecole Nationale Vétérinaire de Toulouse & Ecole Nationale Supérieure Agronomique de Toulouse, Castanet-Tolosan, France; Instituto de matemática y Estadística Prof. Ing. Rafael Laguardia, Facultad de Ingeniera, Universidad de la República, Montevideo, Uruguay; Bioinformatics Unit, Institut Pasteur, Montevideo, Uruguay.
Bertrand ServinGénétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique & Ecole Nationale Vétérinaire de Toulouse & Ecole Nationale Supérieure Agronomique de Toulouse, Castanet-Tolosan, France.
Gwenola Tosser-KloppGénétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique & Ecole Nationale Vétérinaire de Toulouse & Ecole Nationale Supérieure Agronomique de Toulouse, Castanet-Tolosan, France.
Rachel RuppGénétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique & Ecole Nationale Vétérinaire de Toulouse & Ecole Nationale Supérieure Agronomique de Toulouse, Castanet-Tolosan, France.
Carole MorenoGénétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique & Ecole Nationale Vétérinaire de Toulouse & Ecole Nationale Supérieure Agronomique de Toulouse, Castanet-Tolosan, France.
International Sheep Genomics Consortium
Magali San CristobalGénétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique & Ecole Nationale Vétérinaire de Toulouse & Ecole Nationale Supérieure Agronomique de Toulouse, Castanet-Tolosan, France.
Simon BoitardGénétique Animale et Biologie Intégrative, Institut National de la Recherche Agronomique & AgroParisTech, Jouy-en-Josas, France; Origine, Structure et Evolution de la Biodiversité, Museum National d'Histoire Naturelle & Ecole Pratique des Hautes Etudes & CNRS, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diversity of populations in domestic species offers great opportunities to study genome response to selection. The recently published Sheep HapMap dataset is a great example of characterization of the world wide genetic diversity in sheep. In this study, we re-analyzed the Sheep HapMap dataset to identify selection signatures in worldwide sheep populations. Compared to previous analyses, we made use of statistical methods that (i) take account of the hierarchical structure of sheep populations, (ii) make use of linkage disequilibrium information and (iii) focus specifically on either recent or older selection signatures. We show that this allows pinpointing several new selection signatures in the sheep genome and distinguishing those related to modern breeding objectives and to earlier post-domestication constraints. The newly identified regions, together with the ones previously identified, reveal the extensive genome response to selection on morphology, color and adaptation to new environments.

Indexed as

Genetic VariationSelection, GeneticAnimalsGene FrequencyGenetic MarkersPolymorphism, Single NucleotideSheepGenetic Markers

Identifiers

PMID25126940
PMCPMC4134316

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.