ArticleMolecular and cellular neurosciences2021
An integrative study of genetic variants with brain tissue expression identifies viral etiology and potential drug targets of multiple sclerosis.
Article in Molecular and cellular neurosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Integrative Transcriptomics Uncovers IFN-β Signature and IFITM3 as Putative Molecular Mediator in MS.International journal of molecular sciences · 2026Article
- Mapping fatigue: discovering brain regions and genes linked to fatigue susceptibility.Journal of translational medicine · 2025Article
- Association between 25(OH) vitamin D and multiple sclerosis: cohort, shared genetics, and Causality.Nutrition journal · 2024Observational
- Montelukast as a repurposable additive drug for standard-efficacy multiple sclerosis treatment: Emulating clinical trials with retrospective administrative health claims data.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Article
- Multiscale networks in multiple sclerosis.PLoS computational biology · 2024Article
- Disentangling Accelerated Cognitive Decline from the Normal Aging Process and Unraveling Its Genetic Components: A Neuroimaging-Based Deep Learning Approach.Journal of Alzheimer's disease : JAD · 2024Article
- A gene regulatory network approach harmonizes genetic and epigenetic signals and reveals repurposable drug candidates for multiple sclerosis.Human molecular genetics · 2023Article
- Identifying candidate genes and drug targets for Alzheimer's disease by an integrative network approach using genetic and brain region-specific proteomic data.Human molecular genetics · 2022Article
- Drug-Target Network Study Reveals the Core Target-Protein Interactions of Various COVID-19 Treatments.Genes · 2022Article
- Combining Human Genetics of Multiple Sclerosis with Oxidative Stress Phenotype for Drug Repositioning.Pharmaceutics · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Multiple sclerosis (MS) is a neuroinflammatory disorder leading to chronic disability. Brain lesions in MS commonly arise in normal-appearing white matter (NAWM). Genome-wide association studies (GWAS) have identified genetic variants associated with MS. Transcriptome alterations have been observed in case-control studies of NAWM. We developed a Cross-Dataset Evaluation (CDE) function for our network-based tool, Edge-Weighted Dense Module Search of GWAS (EW_dmGWAS). We applied CDE to integrate publicly available MS GWAS summary statistics of 41,505 cases and controls with collectively 38 NAWM expression samples, using the human protein interactome as the reference network, to investigate biological underpinnings of MS etiology. We validated the resulting modules with colocalization of GWAS and expression quantitative trait loci (eQTL) signals, using GTEx Consortium expression data for MS-relevant tissues: 14 brain tissues and 4 immune-related tissues. Other network assessments included a drug target query and functional gene set enrichment analysis. CDE prioritized a MS NAWM network containing 55 unique genes. The gene list was enriched (p-value = 2.34 × 10
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