ArticleGenes2020
Weighted Gene Correlation Network Meta-Analysis Reveals Functional Candidate Genes Associated with High- and Sub-Fertile Reproductive Performance in Beef Cattle.
Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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
15 citing papers in PubMed, 26 citations in OpenAlex.
- Genome-wide association analysis reveals genetic architecture of fertility traits in Sahiwal heifers and cows.Tropical animal health and production · 2026Article
- Review
- Multi-omics analysis reveals the effects of prenatal nutrition on carcass-related tissues in beef cattle.Scientific reports · 2025Article
- Impacts of prenatal nutrition on metabolic pathways in beef cattle: an integrative approach using metabolomics and metagenomics.BMC genomics · 2025Article
- Genetic parameters and genome-wide association studies including the X chromosome for various reproduction and semen quality traits in Nellore cattle.BMC genomics · 2025Article
- Relation between proteome characterization and semen quality in Italian chicken breeds.PloS one · 2025Article
- Scans for Signatures of Selection in Genomes of Wagyu and Buryat Cattle Breeds Reveal Candidate Genes and Genetic Variants for Adaptive Phenotypes and Production Traits.Animals : an open access journal from MDPI · 2024Article
- Runs of homozygosity and signatures of selection for number of oocytes and embryos in the Gir Indicine cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Article
- Genome-wide scan for runs of homozygosity in South American Camelids.BMC genomics · 2023Article
- Machine Learning-Based Co-Expression Network Analysis Unravels Potential Fertility-Related Genes in Beef Cows.Animals : an open access journal from MDPI · 2022Article
- Recent developments and future directions in meta-analysis of differential gene expression in livestock RNA-Seq.Frontiers in genetics · 2022Review
- Genome-Wide Selection Signatures and Human-Mediated Introgression Events inFrontiers in genetics · 2022Article
- Heat stress and immune response phenotype affect DNA methylation in blood mononuclear cells from Holstein dairy cows.Scientific reports · 2021Article
- Genome-wide association study to identify genomic regions and positional candidate genes associated with male fertility in beef cattle.Scientific reports · 2020Article
- Integrating RNA-Seq with GWAS reveals novel insights into the molecular mechanism underpinning ketosis in cattle.BMC genomics · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improved reproductive efficiency could lead to economic benefits for the beef industry, once the intensive selection pressure has led to a decreased fertility. However, several factors limit our understanding of fertility traits, including genetic differences between populations and statistical limitations. In the present study, the RNA-sequencing data from uterine samples of high-fertile (HF) and sub-fertile (SF) animals was integrated using co-expression network meta-analysis, weighted gene correlation network analysis, identification of upstream regulators, variant calling, and network topology approaches. Using this pipeline, top hub-genes harboring fixed variants (HF × SF) were identified in differentially co-expressed gene modules (DcoExp). The functional prioritization analysis identified the genes with highest potential to be key-regulators of the DcoExp modules between HF and SF animals. Consequently, 32 functional candidate genes (10 upstream regulators and 22 top hub-genes of DcoExp modules) were identified. These genes were associated with the regulation of relevant biological processes for fertility, such as embryonic development, germ cell proliferation, and ovarian hormone regulation. Additionally, 100 candidate variants (single nucleotide polymorphisms (SNPs) and insertions and deletions (INDELs)) were identified within those genes. In the long-term, the results obtained here may help to reduce the frequency of subfertility in beef herds, reducing the associated economic losses caused by this condition.
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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 Socratic graph.