Evidence map›Paper›PMID 35659233›Full record

ArticleGenetics, selection, evolution : GSE2022

Rare and population-specific functional variation across pig lines.

Roger Ros-Freixedes, Bruno D Valente, Ching-Yi Chen, William O Herring, Gregor Gorjanc, John M Hickey, Martin Johnsson

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. On ARGs, pedigrees, and genetic relatedness matrices.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
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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.

Roger Ros-FreixedesThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush, Midlothian, Scotland, UK. roger.ros@roslin.ed.ac.uk.ORCID http://orcid.org/0000-0002-3745-6736
Bruno D ValenteThe Pig Improvement Company, Genus plc, Hendersonville, TN, USA.
Ching-Yi ChenThe Pig Improvement Company, Genus plc, Hendersonville, TN, USA.
William O HerringThe Pig Improvement Company, Genus plc, Hendersonville, TN, USA.
Gregor GorjancThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush, Midlothian, Scotland, UK.
John M HickeyThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush, Midlothian, Scotland, UK.
Martin JohnssonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush, Midlothian, Scotland, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/L020467/1Biotechnology and Biological Sciences Research Council BB/M009254/1Biotechnology and Biological Sciences Research Council BB/N004736/1Biotechnology and Biological Sciences Research Council BB/N015339/1Biotechnology and Biological Sciences Research Council BBS/E/D/30002275Innovate UK 102271Svenska Forskningsrådet Formas Dnr 2016-01386
6 · The paper itself

Abstract

backgroundIt is expected that functional, mainly missense and loss-of-function (LOF), and regulatory variants are responsible for most phenotypic differences between breeds and genetic lines of livestock species that have undergone diverse selection histories. However, there is still limited knowledge about the existing missense and LOF variation in commercial livestock populations, in particular regarding population-specific variation and how it can affect applications such as across-breed genomic prediction.

methodsWe re-sequenced the whole genome of 7848 individuals from nine commercial pig lines (average sequencing coverage: 4.1×) and imputed whole-genome genotypes for 440,610 pedigree-related individuals. The called variants were categorized according to predicted functional annotation (from LOF to intergenic) and prevalence level (number of lines in which the variant segregated; from private to widespread). Variants in each category were examined in terms of their distribution along the genome, alternative allele frequency, per-site Wright's fixation index (F

resultsOf the 46 million called variants, 28% were private (called in only one line) and 21% were widespread (called in all nine lines). Genomic regions with a low recombination rate were enriched with private variants. Low-prevalence variants (called in one or a few lines only) were enriched for lower allele frequencies, lower F

conclusionsMost low-prevalence variants have low minor allele frequencies and only a small subset of low-prevalence variants contributed detectable fractions of phenotypic variance of production traits. Accounting for low-prevalence variants is therefore unlikely to noticeably benefit across-breed analyses, such as the prediction of genomic breeding values in a population using reference populations of a different genetic background.

Indexed as

GenomePolymorphism, Single NucleotideAnimalsGene FrequencyGenetic VariationGenomicsGenotypeSwine

Identifiers

PMID35659233
PMCPMC9164375

What Socratic holds

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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.