Evidence map›Paper›PMID 27045296›Full record

SynthesisPloS one2016

A Meta-Assembly of Selection Signatures in Cattle.

Imtiaz A S Randhawa, Mehar S Khatkar, Peter C Thomson, Herman W Raadsma

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
11.7field-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

49 citing papers in PubMed, 102 citations in OpenAlex.

  1. Deciphering genetic diversity and selection footprints in Rathi cattle through ddRAD-based genome-wide analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  2. Article
  3. Mapping genomic adaptation to environmental heterogeneity in Indian native goat populations through landscape genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  4. Article
  5. Article
  6. Article
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  10. Analysis of Runs of Homozygosity in Aberdeen Angus Cattle.Animals : an open access journal from MDPI · 2024
    Article
  11. Article
  12. Article
  13. Comprehensive selection signature analyses in dairy cattle exploiting purebred and crossbred genomic data.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Article
  14. Article
  15. Article
  16. Runs of homozygosity and signatures of selection for number of oocytes and embryos in the Gir Indicine cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Article
  17. Review
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  19. Article
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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

4 authors at 1 institution in 1 country.

Imtiaz A S RandhawaReprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia.
Mehar S KhatkarReprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia.
Peter C ThomsonReprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia.
Herman W RaadsmaReprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia.
University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since domestication, significant genetic improvement has been achieved for many traits of commercial importance in cattle, including adaptation, appearance and production. In response to such intense selection pressures, the bovine genome has undergone changes at the underlying regions of functional genetic variants, which are termed "selection signatures". This article reviews 64 recent (2009-2015) investigations testing genomic diversity for departure from neutrality in worldwide cattle populations. In particular, we constructed a meta-assembly of 16,158 selection signatures for individual breeds and their archetype groups (European, African, Zebu and composite) from 56 genome-wide scans representing 70,743 animals of 90 pure and crossbred cattle breeds. Meta-selection-scores (MSS) were computed by combining published results at every given locus, within a sliding window span. MSS were adjusted for common samples across studies and were weighted for significance thresholds across and within studies. Published selection signatures show extensive coverage across the bovine genome, however, the meta-assembly provides a consensus profile of 263 genomic regions of which 141 were unique (113 were breed-specific) and 122 were shared across cattle archetypes. The most prominent peaks of MSS represent regions under selection across multiple populations and harboured genes of known major effects (coat color, polledness and muscle hypertrophy) and genes known to influence polygenic traits (stature, adaptation, feed efficiency, immunity, behaviour, reproduction, beef and dairy production). As the first meta-assembly of selection signatures, it offers novel insights about the hotspots of selective sweeps in the bovine genome, and this method could equally be applied to other species.

Indexed as

Selection, GeneticAnimalsCattle

Identifiers

PMID27045296
PMCPMC4821596
OpenAlexW2317094502

What Socratic 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 Socratic graph.