Evidence map›Paper›PMID 41594525›Full record

ArticleAnimals : an open access journal from MDPI2026

SNPs with High Linkage Disequilibrium Increase the Explained Genetic Variance and the Reliability of Genomic Predictions.

José Guadalupe Cortes-Hernández, Felipe de Jesús Ruiz-López, Francisco Peñagaricano, Hugo H Montaldo, Adriana García-Ruiz

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

José Guadalupe Cortes-HernándezPhD Program in Animal Health and Production Science, National Autonomous University of Mexico, Mexico City 04510, Mexico.ORCID 0000-0001-6343-6731
Felipe de Jesús Ruiz-LópezNational Center for Disciplinary Research in Animal Physiology and Improvement, National Institute of Forestry, Agriculture and Livestock Research, Ajuchitlán 76280, Querétaro, Mexico.ORCID 0000-0002-4097-6281
Francisco PeñagaricanoDepartment of Animal and Dairy Sciences, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0001-6661-3991
Hugo H MontaldoDepartment of Genetics and Biostatistics, Faculty of Veterinary Medicine and Zootechnics, National Autonomous University of Mexico, Mexico City 04510, Mexico.ORCID 0000-0001-5773-8784
Adriana García-RuizNational Center for Disciplinary Research in Animal Physiology and Improvement, National Institute of Forestry, Agriculture and Livestock Research, Ajuchitlán 76280, Querétaro, Mexico.ORCID 0000-0002-1074-536X

Funding

Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias 18562637256
6 · The paper itself

Abstract

The objective of this study was to compare the proportion of explained genetic variance (EXGV) and the reliability of genomic breeding values (GBVs) predictions for milk yield (MY), fat yield (FY), protein yield (PY) fat percentage (FP), protein percentage (PP), and somatic cell score (SCS) in Holstein cattle. Three types of genomic information were evaluated. (a) SNP-ALL: this analysis included 88,911 single nucleotide polymorphisms (SNP) from 8290 animals. (b) HAP-PSEUDOSNP: haplotypes, defined based on high linkage disequilibrium (LD, r

Indexed as

fat yieldGWASHolsteinmilk yieldpredicted genomic breeding valuesprotein yieldPseudo-SNPreliabilitysomatic cell score

Identifiers

PMID41594525
PMCPMC12837391

What OpenQuestion holds

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Registered trials

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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.