ArticleScientific data2025
Whole genome sequences of 297 Duolang sheep for litter size.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- First breed-pool whole genome sequencing of egyptian sheep: a comprehensive genomic atlas revealing diversity and candidate genes for production and adaptation.BMC biotechnology · 2026Article
- Reproductive Physiology, Genetic Architecture, and Management of Duolang Sheep Under Arid-Zone Production Systems: A Review.International journal of molecular sciences · 2026Review
- Multiomics Analysis across the Life Cycle Identifies ZnJournal of agricultural and food chemistry · 2026Article
- Functional characterization of HMG_9 and CMicrobial cell factories · 2026Article
- Whole-Genome Sequencing Reveals Breed-Specific SNPs, Indels, and Signatures of Selection in Royal White and White Dorper Sheep.Animals : an open access journal from MDPI · 2026Article
- From markers to mechanisms: a comprehensive review of major genes and quantitative trait loci shaping the modern sheep (Frontiers in genetics · 2026Review
- Rapid Identification of the SNP Mutation in theAnimals : an open access journal from MDPI · 2025Article
- Identification of key genes for mandibular prognathism in Duolang sheep via genome-wide association analysis.Frontiers in veterinary science · 2025Article
- Transcriptome sequencing of sheep hypothalamic tissue reveals the regulatory role of lncRNA in the mechanism of pubertal estrus initiation.Frontiers in veterinary science · 2025Article
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
No grant is acknowledged in the PubMed record.
Abstract
Litter size is a critical economic trait in the sheep industry. Like many other breeds, Duolang sheep typically produce one lamb per ewe per lambing. To date, genetic studies of this trait in that breed have largely relied on candidate gene approaches. To expand the genomic resources for this breed, we sequenced 297 genomes, generating approximately 10.52 trillion bases with an average coverage of 13.35X. High-quality alignments with a mapping rate exceeding 99% enabled the identification of 43,968,128 SNPs and 6,504,047 InDels. This dataset provides a valuable resource for identifying genetic variants associated with litter size through genome-wide association studies (GWAS) and lays the foundation for future genetic improvement efforts through genomic selection in Duolang sheep. Beyond trait mapping, the dataset also supports broader applications, including analyses of genetic diversity, phylogenetic relationships, population history, adaptive introgression, and breed-specific characteristics. Additionally, the moderate-coverage WGS data are suitable for structural variant (SV) detection and downstream analyses such as association mapping and the identification of SVs underlying phenotypic traits.
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.