Evidence map›Paper›PMID 34301193›Full record

ArticleGenetics, selection, evolution : GSE2021

Long-range linkage disequilibrium in French beef cattle breeds.

Abdelmajid El Hou, Dominique Rocha, Eric Venot, Véronique Blanquet, Romain Philippe

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 17 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

5 authors at 2 institutions in 1 country.

Abdelmajid El HouINRAE, PEIRENE EA7500, USC1061 GAMAA, Université de Limoges, 87060, Limoges, France.
Dominique RochaINRAE, AgroParisTech, GABI, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Eric VenotINRAE, AgroParisTech, GABI, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Véronique Blanquet *INRAE, PEIRENE EA7500, USC1061 GAMAA, Université de Limoges, 87060, Limoges, France.
Romain Philippe *INRAE, PEIRENE EA7500, USC1061 GAMAA, Université de Limoges, 87060, Limoges, France. romain.philippe@inrae.fr.ORCID http://orcid.org/0000-0002-2639-2917
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRAgroParisTech · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLinkage disequilibrium (LD) is a key parameter to study the history of populations and to identify and fine map quantitative trait loci (QTL) and it has been studied for many years in animal populations. The advent of new genotyping technologies has allowed whole-genome LD studies in most cattle populations. However, to date, long-range LD (LRLD) between distant variants on the genome has not been investigated in detail in cattle. Here, we present the first comprehensive study of LRLD in French beef cattle by analysing data on 672 Charolais (CHA), 462 Limousine (LIM) and 326 Blonde d'Aquitaine (BLA) individuals that were genotyped on the Illumina BovineHD Beadchip. Furthermore, whole-genome LD and haplotype block structure were analysed in these three breeds.

resultsWe computed linkage disequilibrium (r

conclusionsWe identified long-range linkage disequilibrium for the first time in French beef cattle populations. Epistatic selection may be the main source of the observed LRLD events, but other forces may also be involved. LRLD information should be accounted for in genome-wide association studies.

Indexed as

Linkage DisequilibriumAnimalsCattleGenome-Wide Association StudyGenotyping TechniquesPolymorphism, Single NucleotideQuantitative Trait LociRed Meat

Identifiers

PMID34301193
PMCPMC8306006
OpenAlexW3185398640

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.