Evidence map›Paper›PMID 40229661›Full record

ArticleGenetics, selection, evolution : GSE2025

Estimating mutation rate and characterising single nucleotide de novo mutations in pigs.

Christina M Rochus, Marije J Steensma, Marco C A M Bink, Abe E Huisman, Barbara Harlizius, Martijn F L Derks, Richard P M A Crooijmans, Bart J Ducro, Piter Bijma, Martien A M Groenen and 1 more

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Effect of methylation on genome mutability in cattle.Genetics, selection, evolution : GSE · 2026
    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

11 authors.

Christina M RochusWageningen University & Research Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.
Marije J SteensmaWageningen University & Research Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands. marije.steensma@wur.nl.ORCID http://orcid.org/0000-0002-5141-5447
Marco C A M BinkHendrix Genetics, P.O. Box 114, 5830 AC, Boxmeer, The Netherlands.
Abe E HuismanHendrix Genetics, P.O. Box 114, 5830 AC, Boxmeer, The Netherlands.
Barbara HarliziusTopigs Norsvin Research Center, Meerendonkweg 25, 5216 TZ, Den Bosch, The Netherlands.
Martijn F L DerksWageningen University & Research Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.
Richard P M A CrooijmansWageningen University & Research Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.
Bart J DucroWageningen University & Research Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.
Piter BijmaWageningen University & Research Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.
Martien A M GroenenWageningen University & Research Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.
Han A MulderWageningen University & Research Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.

Funding

Stichting voor de Technische Wetenschappen 14297
6 · The paper itself

Abstract

backgroundDirect estimates of mutation rates in humans have changed our understanding of evolutionary timing and de novo mutations (DNM) have been associated with several developmental disorders in humans. Livestock species, including pigs, can contribute to the study of DNM because of their ideal population structure and routine phenotype collection. In principle, there is the potential for livestock populations to quickly accumulate new genetic variants because of short generation intervals and high selection intensity. However, the impact of DNM on the fitness of individuals is not known and with current genomic selection programs they cannot contribute to estimated breeding values. The aims of our project were to detect and validate single nucleotide DNM in two commercial pig breeding lines, estimate the single nucleotide mutation rate, and characterise DNM.

resultsWe sequenced (150 bp paired end reads, 30X coverage) 46 pig trios from two commercial lines. Single nucleotide DNM were detected using a trio-aware method. We defined candidate DNM as single nucleotide variants (SNVs) found in heterozygous state in trio-offspring with both trio-parents homozygous for the reference allele. In this study, we estimate a lower threshold of the DNM rate in pigs of 6.3 × 10

conclusionsWith this study, we have generated fundamental knowledge on mutation rate in a non-primate species and identified DNM that could have an impact on the fitness of individuals.

Indexed as

Mutation RatePolymorphism, Single NucleotideSus scrofaAnimalsBreedingMutationSwine

Identifiers

PMID40229661
PMCPMC11995543

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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.