ReviewBMC genomics2026
Causal variants in animal genomes: approaches to identification, phenotypic impact, and implications for selective breeding.
Review in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Resolving Cattle GWAS Loci: Current Progress, Persistent Challenges and Future Directions.Current issues in molecular biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review provides a comprehensive analysis of causal variants as the most informative genetic markers in livestock breeding, highlighting their potential to enhance the precision and efficiency of animal selection strategies. It discusses the types and classifications of genetic variants arising in animal genomes, addresses complex issues related to genetic variant terminology, and evaluates their prevalence and significance in phenotypic variability and evolution. The review explores the molecular mechanisms underlying genetic causality, detailing how variants in both regulatory and coding regions can influence gene expression regulation and the structural and functional properties of transcripts and proteins. It also outlines the diversity of methodological approaches used to identify causal variants and assess their functional impact, incorporating both experimental techniques and bioinformatic tools. Prominent examples of causal variants identified in the genomes of mammals and birds are presented, demonstrating their influence on traits such as growth rate, body conformation, milk and meat production and quality, reproductive performance, coat color, and disease resistance. In addition, the review describes current strategies and future prospects for the use of causal variants as genetic markers to improve animal productivity traits within marker-assisted and genomic selection frameworks. Finally, it addresses the conceptual and practical challenges in distinguishing truly causal variants from those merely statistically associated with traits, emphasizing the need for more rigorous criteria and methodological standards in this area of research.
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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.