Evidence map›Paper›PMID 18836775›Full record

ReviewMammalian genome : official journal of the International Mammalian Genome Society2008

A critical analysis of production-associated DNA polymorphisms in the genes of cattle, goat, sheep, and pig.

Eveline M Ibeagha-Awemu, Patrick Kgwatalala, Xin Zhao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Review
  3. Polymorphism of theAnimals : an open access journal from MDPI · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Differential protein input in the maternal diet alters the skeletal muscle transcriptome in fetal sheep.Mammalian genome : official journal of the International Mammalian Genome Society · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Gene Expression and Fatty Acid Profiling inFrontiers in genetics · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Eveline M Ibeagha-AwemuDepartment of Animal Science, McGill University, 21,111 Lakeshore Road, Ste Anne De Bellevue, Quebec, Canada, H9X 3V9.
Patrick Kgwatalala
Xin Zhao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing productivity is one of the main objectives in animal production. Traditional breeding methods have led to increased gains in some traits but gains are not easily attainable in traits with low heritabilities. Exploiting the genetic variations underlying desired phenotypes is the goal of today's animal producers. Such positive genetic variants must, however, be known before possible application. Consequently, candidate genes of traits of interest have been searched for possible relationships with such traits or to explain reported quantitative trait loci (QTL) for such traits. DNA variants or polymorphisms have been identified in many such genes and their relationships with production traits determined. However, only a few genes have been evaluated, given the wealth of information on reported QTL for production traits, and in most cases genes are only partially investigated. This review presents available information on DNA variants for production traits and discusses steps that are required for effective utilization of this information for successful marker-assisted selection programs.

Indexed as

AnimalsBreedingCattleDNAExonsFemaleGenetic MarkersGoatsMaleMilk ProteinsPhenotypePolymorphism, GeneticQuantitative Trait LociSheepSus scrofaTranscription FactorsDNAGenetic MarkersMilk ProteinsTranscription Factors

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.