ArticleBMC biology2020
Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human.
Article in BMC biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 71 citations in OpenAlex.
- Topic "Application of Reproductive and Genomic Biotechnologies for Livestock Breeding and Selection".International journal of molecular sciences · 2026Article
- The ChickenGTEx portal: a pan-tissue catalogue of regulatory variants shaping transcriptomic and phenotypic diversity.Nucleic acids research · 2026Article
- Unraveling quantitative trait loci (QTL) overlapping epigenomic regulatory regions associated with feeding behavior in pigs.Frontiers in genetics · 2026Article
- Comprehensive Multi-omics Analysis of Regulatory Variants for Body Weight in Cattle.Genomics, proteomics & bioinformatics · 2025Article
- FarmGTEx TWAS-server: An Interactive Web Server for Customized TWAS Analysis.Genomics, proteomics & bioinformatics · 2025Article
- Whole-Genome Sequencing Reveals the Role of Cis-Regulatory Elements and eQTL/sQTL in the Adaptive Selection of Hubei Indigenous Cattle.Animals : an open access journal from MDPI · 2025Article
- Multiomics uncovers the epigenomic and transcriptomic response to viral and bacterial stimulation in turbot.GigaScience · 2025Article
- Article
- Stacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- A review of emerging technologies, nutritional practices, and management strategies to improve intramuscular fat composition in beef cattle.Animal biotechnology · 2024Review
- Evaluation of heritability partitioning approaches in livestock populations.BMC genomics · 2024Article
- Improving the accuracy of genomic prediction in dairy cattle using the biologically annotated neural networks framework.Journal of animal science and biotechnology · 2024Article
- Gene expression and RNA splicing explain large proportions of the heritability for complex traits in cattle.Cell genomics · 2023Article
- Molecular regulatory mechanism of key LncRNAs in subclinical mastitic cows with folic acid supplementation.BMC genomics · 2023Article
- Harnessing male germline epigenomics for the genetic improvement in cattle.Journal of animal science and biotechnology · 2023Review
- Comparative analysis reveals epigenomic evolution related to species traits and genomic imprinting in mammals.Innovation (Cambridge (Mass.)) · 2023Article
- An atlas of regulatory elements in chicken: A resource for chicken genetics and genomics.Science advances · 2023Article
- Comparing genomic and epigenomic features across species using the WashU Comparative Epigenome Browser.Genome research · 2023Article
- Comparative immune-relevant transcriptome reveals the evolutionary basis of complex traits.iScience · 2022Article
- Comparative epigenomics reveals the impact of ruminant-specific regulatory elements on complex traits.BMC biology · 2022Article
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundLack of comprehensive functional annotations across a wide range of tissues and cell types severely hinders the biological interpretations of phenotypic variation, adaptive evolution, and domestication in livestock. Here we used a combination of comparative epigenomics, genome-wide association study (GWAS), and selection signature analysis, to shed light on potential adaptive evolution in cattle.
resultsWe cross-mapped 8 histone marks of 1300 samples from human to cattle, covering 178 unique tissues/cell types. By uniformly analyzing 723 RNA-seq and 40 whole genome bisulfite sequencing (WGBS) datasets in cattle, we validated that cross-mapped histone marks captured tissue-specific expression and methylation, reflecting tissue-relevant biology. Through integrating cross-mapped tissue-specific histone marks with large-scale GWAS and selection signature results, we for the first time detected relevant tissues and cell types for 45 economically important traits and artificial selection in cattle. For instance, immune tissues are significantly associated with health and reproduction traits, multiple tissues for milk production and body conformation traits (reflecting their highly polygenic architecture), and thyroid for the different selection between beef and dairy cattle. Similarly, we detected relevant tissues for 58 complex traits and diseases in humans and observed that immune and fertility traits in humans significantly correlated with those in cattle in terms of relevant tissues, which facilitated the identification of causal genes for such traits. For instance, PIK3CG, a gene highly specifically expressed in mononuclear cells, was significantly associated with both age-at-menopause in human and daughter-still-birth in cattle. ICAM, a T cell-specific gene, was significantly associated with both allergic diseases in human and metritis in cattle.
conclusionCollectively, our results highlighted that comparative epigenomics in conjunction with GWAS and selection signature analyses could provide biological insights into the phenotypic variation and adaptive evolution. Cattle may serve as a model for human complex traits, by providing additional information beyond laboratory model organisms, particularly when more novel phenotypes become available in the near future.
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