ReviewGenetics, selection, evolution : GSE2016
Multi-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfare.
Review in Genetics, selection, evolution : GSE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 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
91 citing papers in PubMed, 204 citations in OpenAlex.
- From candidate genes to whole-genome approaches: current insights into the genetic architecture of ovine milk production and quality traits.Veterinary and animal science · 2026Review
- Innovative Field Applications of Probiotics, Prebiotics, and Medicinal Plant Products for Disease Control in Aquaculture.Journal of fish diseases · 2026Review
- Multi-omics integration and artificial intelligence for the conservation and utilization of local chicken genetic resources.Poultry science · 2026Review
- Integrated Multi-Omic Analyses Reveal Gender-Specific Molecular Mechanisms Regulating Growth and Muscle Development in Zhongshan Partridge Ducks.Biomolecules · 2026Article
- NMR Metabolomics in Veterinary Medicine: From Biomarker Discovery to Clinical Implementation.Veterinary sciences · 2026Review
- Current Applications and Future Prospects of High-ThroughputAnimals : an open access journal from MDPI · 2026Review
- Integrative Genomics Identifies Candidate Genes Underlying Trypanotolerance in Hybrid African Cattle.Evolutionary applications · 2026Article
- Integrative multi-omics analysis reveals systemic and intestinal responses to heat stress in finishing pigs.Journal of animal science and technology · 2026Article
- Candidate blood biomarkers linked with feed intake efficiency and weight gain in sheep.Scientific reports · 2026Article
- Multimodal animal health monitoring in extensive livestock production systems.Frontiers in veterinary science · 2026Review
- Article
- The Genomics Revolution in Nonmodel Species: Predictions vs. Reality for Salmonids.Molecular ecology · 2025Review
- Metabolites in Longissimus Lumborum From Beef Cattle Differ in Fat Content.Food science & nutrition · 2025Article
- Rank-based learning: a novel high-throughput algorithm resilient to missing data and effective for datasets with small sample size.Briefings in bioinformatics · 2025Article
- Integrated Multiomics Elucidates Glutathione Metabolic Regulation in a Marine Aromatic Probiotic YeastACS omega · 2025Article
- Comparison of reproductive performance and functional analysis of spermatogenesis factors between domestic yak and semi-wild blood yak.BMC genomics · 2025Article
- Genome-wide association analysis reveals insights into the genetic architecture of mesenteric torsion in pigs.Scientific reports · 2025Article
- Dual-approach co-expression analysis framework (D-CAF) enables identification of novel circadian co-regulation from multi-omic timeseries data.BMC bioinformatics · 2025Article
- Comprehensive analysis of differences in cashmere production performance in Liaoning cashmere goats by using metabolomics and transcriptomics.Frontiers in veterinary science · 2025Article
- Dual-Approach Co-expression Analysis Framework (D-CAF) Enables Identification of Novel Circadian Regulation From Multi-Omic Timeseries Data.bioRxiv : the preprint server for biology · 2024Article
31 more citing papers are in PubMed but not listed here.
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the past years, there has been a remarkable development of high-throughput omics (HTO) technologies such as genomics, epigenomics, transcriptomics, proteomics and metabolomics across all facets of biology. This has spearheaded the progress of the systems biology era, including applications on animal production and health traits. However, notwithstanding these new HTO technologies, there remains an emerging challenge in data analysis. On the one hand, different HTO technologies judged on their own merit are appropriate for the identification of disease-causing genes, biomarkers for prevention and drug targets for the treatment of diseases and for individualized genomic predictions of performance or disease risks. On the other hand, integration of multi-omic data and joint modelling and analyses are very powerful and accurate to understand the systems biology of healthy and sustainable production of animals. We present an overview of current and emerging HTO technologies each with a focus on their applications in animal and veterinary sciences before introducing an integrative systems genomics framework for analysing and integrating multi-omic data towards improved animal production, health and welfare. We conclude that there are big challenges in multi-omic data integration, modelling and systems-level analyses, particularly with the fast emerging HTO technologies. We highlight existing and emerging systems genomics approaches and discuss how they contribute to our understanding of the biology of complex traits or diseases and holistic improvement of production performance, disease resistance and welfare.
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.