ArticleBMJ open2011
Systematic review of genome-wide expression studies in multiple sclerosis.
Article in BMJ open, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
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.
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
56 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.
- Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes.International journal of molecular sciences · 2015Pooled it
- Genetic Risk in Multiple Sclerosis: Susceptibility, Modifiers and Unresolved Questions.Neurology and therapy · 2026Review
- Murine and Humanized Mouse Models in Autoimmune Disease Research and Therapeutics Development.Biology · 2026Review
- Integrated multi-omics and machine learning prioritize key immune genes for multiple sclerosis risk prediction.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Multiple sclerosis: molecular pathogenesis and therapeutic intervention.Signal transduction and targeted therapy · 2025Review
- Establishment of the Diagnostic Signature of Ferroptosis Genes in Multiple Sclerosis.Biochemical genetics · 2025Article
- RSEA: A Web Server for Pathway Enrichment Analysis of Metabolic Reaction Sets.Biotechnology and bioengineering · 2025Article
- Integrated transcriptomics of multiple sclerosis peripheral blood mononuclear cells explored potential biomarkers for the disease.Biochemistry and biophysics reports · 2025Article
- Brain O-GlcNAcylation: Bridging physiological functions, disease mechanisms, and therapeutic applications.Molecular psychiatry · 2025Review
- Natural killer cells in multiple sclerosis: foe or friends?Frontiers in cellular neuroscience · 2025Review
- ShinyDegSEM: an interactive application for pathway perturbation analysis in gene expression studiesPeerJ · 2025Article
- Identification of shared pathogenic signatures of multiple sclerosis and chronic obstructive pulmonary disease: an integrated transcriptomic analysis of blood specimens.Molecular genetics and genomics : MGG · 2024Article
- Combining gene expression microarrays and Mendelian randomization: exploring key immune-related genes in multiple sclerosis.Frontiers in neurology · 2024Article
- Genome-Wide Expression Profile in People with Optic Neuritis Associated with Multiple Sclerosis.Biomedicines · 2023Article
- Article
- Histone demethylase KDM5B licenses macrophage-mediated inflammatory responses by repressing Nfkbia transcription.Cell death and differentiation · 2023Article
- Circular RNA in Multiple Sclerosis: Pathogenicity and Potential Biomarker Development: A Systematic Review.Epigenetics insights · 2023Review
- Blood-based untargeted metabolomics in relapsing-remitting multiple sclerosis revealed the testable therapeutic target.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- PAGER Web APP: An Interactive, Online Gene Set and Network Interpretation Tool for Functional Genomics.Frontiers in genetics · 2022Article
- Identification of key genes and microRNAs for multiple sclerosis using bioinformatics analysis.Medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Although recent genome-wide association studies have identified several genetic variants contributing to the complex aetiology of multiple sclerosis (MS), expression and functional studies are required to further understand its molecular basis. Objectives To identify genes and pathways with differential expression in MS. Design The authors conducted a systematic review of seven microarray studies, in which expression in immune cells was compared between MS patients and controls. These studies include a previously unpublished study, which is described here in detail. Results and conclusion Although in general the overlap between studies was poor, 229 genes were found to be differentially expressed in MS in at least two studies, of which 11 were in three studies and HSPA1A in four studies. After excluding the authors' unpublished experiment which may have been affected by certain confounding factors and inclusion of treated subjects, 135 genes were identified in at least two studies. The differentially expressed genes were significantly associated with several immunological pathways, including interleukin (IL)-4, IL-6, IL-17 and glucocorticoid receptor signalling pathways. 15 of the 229 loci have shown some association with MS in published genome-wide association studies (p<0.0001), including three loci with confirmed MS risk variants.
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.