Evidence map›Paper›PMID 33933002›Full record

ArticleGenetics, selection, evolution : GSE2021

The value of genomic relationship matrices to estimate levels of inbreeding.

Beatriz Villanueva, Almudena Fernández, María Saura, Armando Caballero, Jesús Fernández, Elisabeth Morales-González, Miguel A Toro, Ricardo Pong-Wong

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  8. Genomic Diversity of U.S. Katahdin Hair Sheep.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
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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

8 authors.

Beatriz VillanuevaDepartamento de Mejora Genética Animal, INIA, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain. villanueva.beatriz@inia.es.
Almudena FernándezDepartamento de Mejora Genética Animal, INIA, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain.
María SauraDepartamento de Mejora Genética Animal, INIA, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain.
Armando CaballeroCentro de Investigación Mariña, Universidade de Vigo, Departamento de Bioquímica, Genética E Inmunología, Campus de Vigo, 36310, Vigo, Spain.
Jesús FernándezDepartamento de Mejora Genética Animal, INIA, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain.
Elisabeth Morales-GonzálezDepartamento de Mejora Genética Animal, INIA, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain.
Miguel A ToroDepartamento de Producción Agraria, ETSI Agrónomos, Universidad Politécnica de Madrid, 28040, Madrid, Spain.
Ricardo Pong-WongGenetics and Genomics, The Roslin Institute and the R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/30002275European Commission Horizon 2020 (H2020) Framework Programme 727315Horizon 2020 Framework Programme 772787Ministerio de Ciencia e Innovación PID2020-114426GB-C22Ministerio de Ciencia, Innovación y Universidades CGL2016-75904-C2Xunta de Galicia ED431C 2020-05
6 · The paper itself

Abstract

backgroundGenomic relationship matrices are used to obtain genomic inbreeding coefficients. However, there are several methodologies to compute these matrices and there is still an unresolved debate on which one provides the best estimate of inbreeding. In this study, we investigated measures of inbreeding obtained from five genomic matrices, including the Nejati-Javaremi allelic relationship matrix (F

resultsExcept for F

conclusionsGenomic inbreeding coefficients obtained from the diagonal elements of genomic matrices can lead to inconsistent results in terms of gain and loss of genetic variability and inbreeding depression estimates, and thus to misleading interpretations. Although these matrices have proven to be very efficient in increasing the accuracy of genomic predictions, they do not always provide a useful measure of inbreeding.

Indexed as

Models, GeneticPolymorphism, Single NucleotideAnimalsInbreedingSwine

Identifiers

PMID33933002
PMCPMC8088726

What OpenQuestion holds

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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.