Evidence map›Paper›PMID 39766762›Full record

ReviewGenes2024

Tailoring Genomic Selection for

Adebisi R Ogunbawo, Henrique A Mulim, Gabriel S Campos, Allan P Schinckel, Hinayah Rojas de Oliveira

Abstract readReview
In one paragraph

Review in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Veterinary world · 2025
    Review
  8. Review
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.

Adebisi R OgunbawoDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.
Henrique A MulimDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-8798-8899
Gabriel S CamposDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.
Allan P SchinckelDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-8614-7198
Hinayah Rojas de OliveiraDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in SNP arrays and reference genome assemblies have significantly transformed cattle genomics, particularly for

methodsWe reviewed the relevant literature on the development of SNP arrays, reference genome assemblies, and SNP genotyping techniques used for Zebu cattle. Emphasis was placed on SNP arrays specifically designed for Zebu breeds, evaluating their contributions to genomic evaluations and identifying limitations in prediction accuracy.

resultsRecent advancements, such as GeneSeek's low- and high-density SNP panels, have aimed to reduce ascertainment bias and include key SNPs for Zebu populations by providing breed-specific panels. These panels have been instrumental in identifying genomic regions associated with economically important traits in Nellore cattle. Studies show that tailored SNP arrays and breed-specific reference genomes can enhance genetic diversity assessment and improve genomic predictions, supporting more effective breeding programs for Zebu cattle.

conclusionsImproved SNP arrays and breed-specific reference genomes are crucial for accurate genomic selection in Zebu cattle. Future efforts should prioritize expanding de novo

Indexed as

GenomeGenomicsPolymorphism, Single NucleotideAnimalsBreedingCattleGenotypeGenotyping TechniquesOligonucleotide Array Sequence AnalysisSelection, Geneticbreed-specific panelsgenetic improvementZebu cattle

Identifiers

PMID39766762
PMCPMC11675768

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.