Evidence map›Paper›PMID 42177417›Full record

ArticleGenetics, selection, evolution : GSE2026

Recent population history in Swedish cattle breeds.

Dolapo Adepoju, J Ingemar Ohlsson, Tomas Klingström, Elisenda Rius-Vilarrasa, Anna M Johansson, Martin Johnsson

Erratum issuedAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Correction: Recent population history in Swedish cattle breeds.Genetics, selection, evolution : GSE · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Dolapo AdepojuDepartment of Animal Biosciences, Swedish University of Agricultural Sciences, Box 7023, 750 07, Uppsala, Sweden.
J Ingemar OhlssonDepartment of Animal Biosciences, Swedish University of Agricultural Sciences, Box 7023, 750 07, Uppsala, Sweden.
Tomas KlingströmDepartment of Animal Biosciences, Swedish University of Agricultural Sciences, Box 7023, 750 07, Uppsala, Sweden.
Elisenda Rius-VilarrasaVäxa Sverige, 104 25, Stockholm, Sweden.
Anna M JohanssonDepartment of Animal Biosciences, Swedish University of Agricultural Sciences, Box 7023, 750 07, Uppsala, Sweden.
Martin JohnssonDepartment of Animal Biosciences, Swedish University of Agricultural Sciences, Box 7023, 750 07, Uppsala, Sweden. martin.johnsson@slu.se.ORCID http://orcid.org/0000-0003-1262-4585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn genetic terms, the history of a population can be described by its effective population size over time. We know that domestic cattle have gone through dramatic changes in recent history, including intensifying selection in modern breeding programs and replacement of traditional breeds. In this work, we use linkage disequilibrium-based methods to estimate recent population history from genotype data in Swedish cattle breeds, as well as international Holstein and Jersey cattle data for comparison. We used population genetic simulation to check the inferences.

resultsOur results suggest that the breeds have been effectively large up until recently, when they declined around the onset of systematic breeding. The inferred trajectories were qualitatively similar, with a large historical population and one decline. When comparing simulations from the estimated population histories to real data, the proportion of low-frequency variants in real data was different from what was implied by the estimated population histories, and there was somewhat higher genomic inbreeding in real data than implied by the estimated histories.

conclusionsThe estimates of recent population history of cattle imply that much of the variation we see today is transient, and it will be lost as the populations settle into a new equilibrium, even if efforts to maintain effective population size at current levels are successful.

Indexed as

BreedingGenetics, PopulationAnimalsCattleComputer SimulationGenetic VariationGenotypeInbreedingLinkage DisequilibriumModels, GeneticPopulation DensitySweden

Identifiers

PMID42177417
PMCPMC13202900

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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.