Evidence map›Paper›PMID 30514919›Full record

ReviewNature reviews. Genetics2019

Harnessing genomic information for livestock improvement.

Michel Georges, Carole Charlier, Ben Hayes

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers.

0numbers the graph read from it
0cells of the map it votes in
187citing 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

187 citing papers in PubMed.

  1. Article
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  10. Advances in Molecular Genetics and Breeding of Cattle, Sheep, and Goats.Animals : an open access journal from MDPI · 2026
    Article
  11. Review
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  20. Identification ofFrontiers in veterinary science · 2026
    Article

127 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

3 authors.

Michel GeorgesUnit of Animal Genomics, GIGA Institute, University of Liège, Liège, Belgium. michel.georges@uliege.be.ORCID http://orcid.org/0000-0003-4124-2375
Carole CharlierUnit of Animal Genomics, GIGA Institute, University of Liège, Liège, Belgium.
Ben HayesQueensland Alliance for Agriculture and Food Innovation (QAAFI), Queensland Bioscience Precinct, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-5606-3970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world demand for animal-based food products is anticipated to increase by 70% by 2050. Meeting this demand in a way that has a minimal impact on the environment will require the implementation of advanced technologies, and methods to improve the genetic quality of livestock are expected to play a large part. Over the past 10 years, genomic selection has been introduced in several major livestock species and has more than doubled genetic progress in some. However, additional improvements are required. Genomic information of increasing complexity (including genomic, epigenomic, transcriptomic and microbiome data), combined with technological advances for its cost-effective collection and use, will make a major contribution.

Indexed as

GenomeLivestockAnimal HusbandryAnimals

Identifiers

What OpenQuestion holds

Textmetadata
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.