Evidence map›Paper›PMID 31726712›Full record

ArticleGenes2019

A Weighted Genomic Relationship Matrix Based on Fixation Index (F

Ling-Yun Chang, Sajjad Toghiani, El Hamidi Hay, Samuel E Aggrey, Romdhane Rekaya

Abstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. FGenes · 2025
    Article
  8. Review
  9. 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

5 authors.

Ling-Yun ChangDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-2000-4274
Sajjad ToghianiDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-5090-728X
El Hamidi HayUSDA Agricultural Research Service, Fort Keogh Livestock and Range Research Laboratory, Miles City, MT 59301, USA.
Samuel E AggreyDepartment of Poultry Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-7550-1681
Romdhane RekayaDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A dramatic increase in the density of marker panels has been expected to increase the accuracy of genomic selection (GS), unfortunately, little to no improvement has been observed. By including all variants in the association model, the dimensionality of the problem should be dramatically increased, and it could undoubtedly reduce the statistical power. Using all Single nucleotide polymorphisms (SNPs) to compute the genomic relationship matrix (

Indexed as

BreedingModels, GeneticAnimalsComputer SimulationGenetic MarkersGenomicsGenotyping TechniquesPolymorphism, Single NucleotideQuantitative Trait LociSelection, GeneticSoftwareGenetic Markersaccuracygenomic selectionhigh densitysequence data

Identifiers

PMID31726712
PMCPMC6895924

What OpenQuestion 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 OpenQuestion graph.