ArticleScientific reports2025
Integrated TWAS, GWAS, and RNAseq results identify candidate genes associated with reproductive traits in cows.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Integration of methylome and transcriptome reveals age-associated signatures of stage-specific dynamics and regulatory remodeling in dogs.GeroScience · 2026Article
- Runs of homozygosity reveal population dynamics and selection across global cattle.Journal of animal science and biotechnology · 2026Article
- Effect of Hydroxyapatite Nanoparticles on the Ultrastructure, Developmental Competence, and Expression ofBiology · 2026Article
- Integrative bioinformatics analyses of mitochondrial dysfunction-related genes in human non-obstructive azoospermia.Scientific reports · 2026Article
- Identification of candidate genes for reproductive traits in Chinese Holstein cattle using single-step genome-wide association study.Journal of animal science · 2026Article
- The Donkey Genome: From Evolutionary Insights to Sustainable Breeding Strategies.Animals : an open access journal from MDPI · 2025Review
- Mendelian randomization reveals immune cell composition as a key determinant of cervical cancer prognosis.Discover oncology · 2025Article
- Identification of new candidate genes affecting drip loss in pigs based on genomics and transcriptomics data.Journal of animal 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
3 authors.
Funding
Abstract
Low fertility in cows leads to early removal from herds. Since reproductive traits are complex and have low heritability, genetic analysis can aid in improving reproduction. This study identified key genes linked to fertility by conducting genome- and transcriptome-wide association studies, RNA-seq analysis, meta-analysis, weighted gene co-expression network analysis, and functional enrichment analysis. Through these methods, we identified candidate genes related to Cow conception rate (CCR), Daughter pregnancy rate (DPR), Heifer conception rate (HCR), and overall fertility traits, helping to improve genetic selection for reproductive success in cows. The identified genes include RPL12, FKBP1B, FZD10, COX10, COX7A2, GAA, ETFBKMT, ACSM5, NUDT9, TIGAR, PAIP2, and PSMB5. Notably, GAA, ETFBKMT, COX10, and COX7A2 are involved in the "generation of precursor metabolites and energy" process. COX10, GAA, ETFBKMT, ACSM5, NUDT9, and TIGAR exhibit significant impacts on CCR, DPR, and HCR. COX7A2, PAIP2, and PSMB5 have been identified as hub genes related to fertility traits. RPL12 plays a role in protein synthesis, essential for gametogenesis and embryo development, while FKBP1B regulates calcium signaling, particularly in oocyte aging and fertility decline, and FZD10 is crucial in Wnt signaling. The identified genes serve as markers for genomic selection aimed at enhancing reproductive traits in cow.
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.