ReviewJournal of human genetics2021
Multi-omics study for interpretation of genome-wide association study.
Review in Journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Systematic Review of Multi-Omics Approaches to Investigate Toxicological Effects in Macrophages.International journal of molecular sciences · 2020Pooled it
- A Large-Scale Multi-omics Polygenic Risk Score Analysis Identified Candidate Biomarkers Associated with Heel Bone Mineral Density.Calcified tissue international · 2026Article
- Article
- Epigenetic Mechanisms Linking Chronic Obstructive Pulmonary Disease and Atrial Fibrillation: A Multi-Omics Mendelian Randomization Study.International journal of chronic obstructive pulmonary disease · 2026Article
- Identifying novel Japanese heart failure variants via endothelialBioinformatics advances · 2026Article
- Genome-Wide Association Studies of Diabetic Kidney Disease in East Asians With Type 2 Diabetes: Achievements and Future Perspectives.Current medicinal chemistry · 2026Review
- Article
- Bridging Ethnobotanical Knowledge and Multi-Omics Approaches for Plant-Derived Natural Product Discovery.Metabolites · 2025Review
- MRBIGR: A versatile toolbox for genetic regulation inference from population-scale multi-omics data.Plant communications · 2025Article
- Progress in multi-omics studies of osteoarthritis.Biomarker research · 2025Review
- From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care.Biomedicines · 2025Review
- Identifying prioritization of therapeutic targets for ankylosing spondylitis: a multi-omics Mendelian randomization study.Journal of translational medicine · 2024Article
- Integrative multi-omics analysis to gain new insights into COVID-19.Scientific reports · 2024Article
- Methodology for Biological Sample Collection, Processing, and Storage in the Newcastle 1000 Pregnancy Cohort: Protocol for a Longitudinal, Prospective Population-Based Study in Australia.JMIR research protocols · 2024Article
- GWAS advancements to investigate disease associations and biological mechanisms.Clinical and translational discovery · 2024Article
- Review
- Scoary2: rapid association of phenotypic multi-omics data with microbial pan-genomes.Genome biology · 2024Article
- Protein-protein interaction network-based integration of GWAS and functional data for blood pressure regulation analysis.Human genomics · 2024Article
- Advancements and Prospects of Genome-Wide Association Studies (GWAS) in Maize.International journal of molecular sciences · 2024Review
- Epigenetics in obesity: Mechanisms and advances in therapies based on natural products.Pharmacology research & perspectives · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWASs) have identified thousands of genetic loci associated with complex traits, including a wide variety of diseases. Despite the successful identification of associated loci, interpreting GWAS findings remains challenging and requires other biological resources. Omics, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics, are increasingly used in a broad range of research fields. Integrative analyses applying GWAS with these omics data are expected to expand our knowledge of complex traits and provide insight into the pathogenesis of complex diseases and their causative factors. Recently, associations between genetic variants and omics data have been comprehensively evaluated, providing new information on the influence of genetic variants on omics. Furthermore, recent advances in analytic methods, including single-cell technologies, have revealed previously unknown disease mechanisms. To advance our understanding of complex traits, integrative analysis using GWAS with multi-omics data is needed. In this review, I describe successful examples of integrative analyses based on omics and GWAS, discuss the limitations of current multi-omics analyses, and provide a perspective on future integrative studies.
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.