Evidence map›Paper›PMID 32674271›Full record

ReviewGenes2020

Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90.

Daniela Lourenco, Andres Legarra, Shogo Tsuruta, Yutaka Masuda, Ignacio Aguilar, Ignacy Misztal

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
14.6field-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

76 citing papers in PubMed, 135 citations in OpenAlex.

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  11. Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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16 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

6 authors at 3 institutions in 3 countries.

Daniela LourencoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.
Andres LegarraInstitut National de la Recherche Agronomique, UMR1388 GenPhySE, 31326 Castanet Tolosan, France.
Shogo TsurutaDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-6897-6363
Yutaka MasudaDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.
Ignacio AguilarInstituto Nacional de Investigación Agropecuaria (INIA), 11500 Montevideo, Uruguay.ORCID 0000-0002-1038-4752
Ignacy MisztalDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.
University of Georgia · USGénétique Physiologie et Systèmes d'Elevage · FRInstituto Nacional de Investigación Agropecuaria · UY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-step genomic evaluation became a standard procedure in livestock breeding, and the main reason is the ability to combine all pedigree, phenotypes, and genotypes available into one single evaluation, without the need of post-analysis processing. Therefore, the incorporation of data on genotyped and non-genotyped animals in this method is straightforward. Since 2009, two main implementations of single-step were proposed. One is called single-step genomic best linear unbiased prediction (ssGBLUP) and uses single nucleotide polymorphism (SNP) to construct the genomic relationship matrix; the other is the single-step Bayesian regression (ssBR), which is a marker effect model. Under the same assumptions, both models are equivalent. In this review, we focus solely on ssGBLUP. The implementation of ssGBLUP into the BLUPF90 software suite was done in 2009, and since then, several changes were made to make ssGBLUP flexible to any model, number of traits, number of phenotypes, and number of genotyped animals. Single-step GBLUP from the BLUPF90 software suite has been used for genomic evaluations worldwide. In this review, we will show theoretical developments and numerical examples of ssGBLUP using SNP data from regular chips to sequence data.

Indexed as

GenomicsAnimalsBreedingGenomeGenotypeLivestockPedigreePolymorphism, Single Nucleotidegenome-wide associationgenomic predictiongenomic selectionsingle-step genomic BLUP

Identifiers

PMID32674271
PMCPMC7397237
OpenAlexW3042318275

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.