ReviewOmics : a journal of integrative biology2015
The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders.
Review in Omics : a journal of integrative biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.
- Application of multi-omics in systemic autoimmune rheumatic diseases: a bibliometric and visualization analysis.Frontiers in immunology · 2026Pooled it
- Autism: epidemiology, genetics, molecular mechanisms, clinical features, diagnosis, and management.Molecular biomedicine · 2026Review
- The Neuroimmunology of Autism.Molecular neurobiology · 2025Review
- A metagene based similarity network fusion approach for multi-omics data integration identified novel subtypes in renal cell carcinoma.Briefings in bioinformatics · 2024Article
- Predicting Preterm Birth Using Proteomics.Clinics in perinatology · 2024Review
- Deriving comprehensive literature trends on multi-omics analysis studies in autism spectrum disorder using literature mining pipeline.Frontiers in neuroscience · 2024Article
- Omics and Multi-Omics in IBD: No Integration, No Breakthroughs.International journal of molecular sciences · 2023Review
- Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes.BMC bioinformatics · 2023Article
- Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases.Journal of neurodevelopmental disorders · 2022Review
- Omics Biomarkers for Monitoring Tuberculosis Treatment: A Mini-Review of Recent Insights and Future Approaches.Infection and drug resistance · 2022Review
- Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets.Biomolecules · 2021Review
- Convergent Canonical Pathways in Autism Spectrum Disorder from Proteomic, Transcriptomic and DNA Methylation Data.International journal of molecular sciences · 2021Review
- Resolving Clinical Phenotypes into Endotypes in Allergy: Molecular and Omics Approaches.Clinical reviews in allergy & immunology · 2021Review
- Integration strategies of multi-omics data for machine learning analysis.Computational and structural biotechnology journal · 2021Review
- Childhood Development and the Microbiome-The Intestinal Microbiota in Maintenance of Health and Development of Disease During Childhood Development.Gastroenterology · 2021Review
- Proteomics and Metabolomics Approaches towards a Functional Insight onto AUTISM Spectrum Disorders: Phenotype Stratification and Biomarker Discovery.International journal of molecular sciences · 2020Review
- Optimized Combination of Multiple Graphs With Application to the Integration of Brain Imaging and (epi)Genomics Data.IEEE transactions on medical imaging · 2020Article
- Multilevel omics for the discovery of biomarkers and therapeutic targets for stroke.Nature reviews. Neurology · 2020Review
- The proteome and its dynamics: A missing piece for integrative multi-omics in schizophrenia.Schizophrenia research · 2020Article
- Co-occurring medical conditions among individuals with ASD-associated disruptive mutations.Children's health care : journal of the Association for the Care of Children's Health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
Complex diseases are caused by a combination of genetic and environmental factors, creating a difficult challenge for diagnosis and defining subtypes. This review article describes how distinct disease subtypes can be identified through integration and analysis of clinical and multi-omics data. A broad shift toward molecular subtyping of disease using genetic and omics data has yielded successful results in cancer and other complex diseases. To determine molecular subtypes, patients are first classified by applying clustering methods to different types of omics data, then these results are integrated with clinical data to characterize distinct disease subtypes. An example of this molecular-data-first approach is in research on Autism Spectrum Disorder (ASD), a spectrum of social communication disorders marked by tremendous etiological and phenotypic heterogeneity. In the case of ASD, omics data such as exome sequences and gene and protein expression data are combined with clinical data such as psychometric testing and imaging to enable subtype identification. Novel ASD subtypes have been proposed, such as CHD8, using this molecular subtyping approach. Broader use of molecular subtyping in complex disease research is impeded by data heterogeneity, diversity of standards, and ineffective analysis tools. The future of molecular subtyping for ASD and other complex diseases calls for an integrated resource to identify disease mechanisms, classify new patients, and inform effective treatment options. This in turn will empower and accelerate precision medicine and personalized healthcare.
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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.