Evidence map›Paper›PMID 35252415›Full record

ArticleFrontiers in veterinary science2022

Fine-Scale Analysis of Runs of Homozygosity Islands Affecting Fertility in Mares.

Nora Laseca, Antonio Molina, Manuel Ramón, Mercedes Valera, Florencia Azcona, Ana Encina, Sebastián Demyda-Peyrás

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Nora LasecaLaboratorio de Diagnóstico Genético Veterinario, Departamento de Genética, Universidad de Córdoba, Córdoba, Spain.
Antonio MolinaLaboratorio de Diagnóstico Genético Veterinario, Departamento de Genética, Universidad de Córdoba, Córdoba, Spain.
Manuel RamónCersyra de Valdepeñas, Instituto Regional de Investigación y Desarrollo Agroalimentario y Forestal Castilla La Mancha, Tomelloso, Spain.
Mercedes ValeraDepartamento de Agronomía, Escuela Técnica Superior de Ingeniería Agronómica, Universidad de Sevilla, Sevilla, Spain.
Florencia AzconaIGEVET (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, La Plata, Argentina.
Ana EncinaDepartamento de Agronomía, Escuela Técnica Superior de Ingeniería Agronómica, Universidad de Sevilla, Sevilla, Spain.
Sebastián Demyda-PeyrásDepartamento de Producción Animal, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The loss of genetic variability in livestock populations bred under strict selection processes is a growing concern, as it may lead to increased inbreeding values and lower fertility, as a consequence of the "inbreeding depression" effect. This is particularly important in horses, where inbreeding levels tend to rise as individuals become more and more closely related. In this study, we evaluated the effect of increased inbreeding levels on mare fertility by combining an SNP-based genomic approach using runs of homozygosity and the estimation of genetic breeding values for reproductive traits in a large population of Pura Raza Española mares. Our results showed a negative correlation between whole-genome homozygosity and fertility estimated breeding values (EBVs) at the genome level (

Indexed as

fertilitygenomicsinbreedingmaresreproductive efficiencyROHiruns of homozygositySNP

Identifiers

PMID35252415
PMCPMC8891756

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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.