ReviewGenetics, selection, evolution : GSE2023
In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants.
Review in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.
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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.
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Who cites it
23 citing papers in PubMed, 30 citations in OpenAlex.
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.NAR genomics and bioinformatics · 2026Article
- Low-Coverage Whole-Genome Resequencing in Livestock and Poultry: Statistical Foundations, Applications and Future Directions.Biology · 2026Review
- Pangenome-based structural variant imputation enables large-scale genotype-phenotype studies in dairy cattle.Nature communications · 2026Article
- Detection of short tandem repeats in the cattle genome: a comparison of bioinformatic tools.BMC genomics · 2026Article
- Phased-assembly-driven pangenome graphs for structural variant genotyping and complex trait mapping in dairy cattle.Nature communications · 2026Article
- Long read and preliminary pangenome analyses reveal breed-specific structural variations and novel sequences in Holstein and Jersey cattle.Journal of advanced research · 2026Article
- Detection and evaluation of copy number variation using both linked-read and short-read sequencing in New Zealand dairy cattle.Frontiers in genetics · 2026Article
- Exploring cattle structural variation in the era of long reads, pangenome graphs, and near-complete assemblies.Journal of animal science and biotechnology · 2025Review
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.bioRxiv : the preprint server for biology · 2025Article
- Global Pangenome Analysis Highlights the Critical Role of Structural Variants in Cattle Improvement and Identifies a Unique Event as a Novel Enhancer in IGFBP7+ Cells.Molecular biology and evolution · 2025Article
- Integrating parental genomes to reduce reference bias and identify intramuscular fat genes in Qinchuan Black pigs.Journal of animal science and biotechnology · 2025Article
- The promise and challenges of characterizing genome-wide structural variants: A case study in a critically endangered parrot.Molecular ecology resources · 2025Article
- The Farm Animal Genotype-Tissue Expression (FarmGTEx) Project.Nature genetics · 2025Review
- Using bioinformatics to investigate functional diversity: a case study of MHC diversity in koalas.Immunogenetics · 2024Article
- A large structural variant collection in Holstein cattle and associated database for variant discovery, characterization, and application.BMC genomics · 2024Article
- An overview of recent technological developments in bovine genomics.Veterinary and animal science · 2024Review
- The Ruminant Telomere-to-Telomere (RT2T) Consortium.Nature genetics · 2024Review
- Pangenome-genotyped structural variation improves molecular phenotype mapping in cattle.Genome research · 2024Article
- Article
- Structural variations in livestock genomes and their associations with phenotypic traits: a review.Frontiers in veterinary science · 2024Review
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
Studies have demonstrated that structural variants (SV) play a substantial role in the evolution of species and have an impact on Mendelian traits in the genome. However, unlike small variants (< 50 bp), it has been challenging to accurately identify and genotype SV at the population scale using short-read sequencing. Long-read sequencing technologies are becoming competitively priced and can address several of the disadvantages of short-read sequencing for the discovery and genotyping of SV. In livestock species, analysis of SV at the population scale still faces challenges due to the lack of resources, high costs, technological barriers, and computational limitations. In this review, we summarize recent progress in the characterization of SV in the major livestock species, the obstacles that still need to be overcome, as well as the future directions in this growing field. It seems timely that research communities pool resources to build global population-scale long-read sequencing consortiums for the major livestock species for which the application of genomic tools has become cost-effective.
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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.