ArticleGenetics, selection, evolution : GSE2019
Removal of alleles by genome editing (RAGE) against deleterious load.
Article in Genetics, selection, evolution : GSE, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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.
Who cites it
24 citing papers in PubMed.
- Translating functional molecular knowledge into crop-breeding success.Nature reviews. Genetics · 2026Review
- Prioritization of deleterious mutations informs genomic prediction and increases the rate of gain in common bean (Phaseolus vulgaris L.), a simulation study.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- How admixed captive breeding populations could be rescued using local ancestry information.Molecular ecology · 2025Article
- Elevated Mutation Burdens in Canadian Oat and Wheat Cultivars Released over the Past Century.Cells · 2025Article
- Sodium azide mutagenesis induces a unique pattern of mutations.PLoS genetics · 2025Article
- Genomic selection strategies to overcome genotype by environment interactions in biosecurity-based aquaculture breeding programs.Genetics, selection, evolution : GSE · 2025Article
- If it ain't broke, don't fix it: evaluating the effect of increased recombination on response to selection for wheat breeding.G3 (Bethesda, Md.) · 2022Article
- Analysis of historical selection in winter wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genetic load: genomic estimates and applications in non-model animals.Nature reviews. Genetics · 2022Review
- Rare and population-specific functional variation across pig lines.Genetics, selection, evolution : GSE · 2022Article
- Supporting in situ conservation of the genetic diversity of crop wild relatives using genomic technologies.Molecular ecology · 2022Review
- Profiling of open chromatin in developing pig (Sus scrofa) muscle to identify regulatory regions.G3 (Bethesda, Md.) · 2022Article
- Genomic Selection in Aquaculture Species.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Breeding custom-designed crops for improved drought adaptation.Advanced genetics (Hoboken, N.J.) · 2021Review
- Conserved features of non-primate bilaminar disc embryos and the germline.Stem cell reports · 2021Review
- AlphaSimR: an R package for breeding program simulations.G3 (Bethesda, Md.) · 2021Article
- Understanding Omics Driven Plant Improvement andFrontiers in genetics · 2021Review
- Article
- 5Gs for crop genetic improvement.Current opinion in plant biology · 2020Review
- Inbreeding depression for kit survival at birth in a rabbit population under long-term selection.Genetics, selection, evolution : GSE · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundIn this paper, we simulate deleterious load in an animal breeding program, and compare the efficiency of genome editing and selection for decreasing it. Deleterious variants can be identified by bioinformatics screening methods that use sequence conservation and biological prior information about protein function. However, once deleterious variants have been identified, how can they be used in breeding?
resultsWe simulated a closed animal breeding population that is subject to both natural selection against deleterious load and artificial selection for a quantitative trait representing the breeding goal. Deleterious load was polygenic and was due to either codominant or recessive variants. We compared strategies for removal of deleterious alleles by genome editing (RAGE) to selection against carriers. When deleterious variants were codominant, the best strategy for prioritizing variants was to prioritize low-frequency variants. When deleterious variants were recessive, the best strategy was to prioritize variants with an intermediate frequency. Selection against carriers was inefficient when variants were codominant, but comparable to editing one variant per sire when variants were recessive.
conclusionsGenome editing of deleterious alleles reduces deleterious load, but requires the simultaneous editing of multiple deleterious variants in the same sire to be effective when deleterious variants are recessive. In the short term, selection against carriers is a possible alternative to genome editing when variants are recessive. Our results suggest that, in the future, there is the potential to use RAGE against deleterious load in animal breeding.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.