ArticleJournal of translational medicine2022
Genetic risk factors for ME/CFS identified using combinatorial analysis.
Article in Journal of translational medicine, 2022. 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
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The trial behind it
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025Pooled it
- Low-Dose Ionizing Radiation and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): A Review of Recent Evidence and Future Research Directions Toward the Elucidation of a Metabolic, Immunologic, and Signaling Cascade.International journal of molecular sciences · 2026Review
- Designing studies for post-treatment Lyme disease and other infection-associated chronic illnesses.Brain : a journal of neurology · 2026Review
- GWAS of extended prescription analgesic use identifies genetic loci in chronic pain.Nature communications · 2026Article
- A systematic scoping review and conceptual analysis of new-onset fibromyalgia manifestations after non-hospitalized COVID-19: empirics, definitions, methodologies, pathophysiology, mapping of literature, and knowledge gaps.Journal of translational medicine · 2026Article
- Article
- Identification of novel reproducible combinatorial genetic risk factors for myalgic encephalomyelitis in the DecodeME patient cohort and commonalities with long COVID.Journal of translational medicine · 2026Article
- Pathophysiological mechanisms of fatigue and multidisciplinary management strategies (Review).Experimental and therapeutic medicine · 2026Review
- Antiviral drug discovery and development: challenges and future directions.Signal transduction and targeted therapy · 2026Review
- Systematic Examination of Gene Expression and Proteomic Evidence Across Tissues Supports the Role of Mitochondrial Dysregulation in ME/CFS.International journal of molecular sciences · 2026Article
- Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK biobank.iScience · 2026Article
- Insights into the Complex Biological Network Underlying Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.International journal of molecular sciences · 2025Review
- Uncovering the genetic architecture of ME/CFS: a precision approach reveals impact of rare monogenic variation.Journal of translational medicine · 2025Article
- Genetic predisposition to persistent fatigue after a diagnosis of colorectal cancer.Journal of the National Cancer Institute · 2025Article
- Identification and Validation of Novel Combinatorial Genetic Risk Factors for Endometriosis across Multiple UK and US Patient Cohorts.medRxiv : the preprint server for health sciences · 2025Article
- Precision Medicine Study of Post-Exertional Malaise Epigenetic Changes in Myalgic Encephalomyelitis/Chronic Fatigue Patients During Exercise.International journal of molecular sciences · 2025Article
- Causes of symptoms and symptom persistence in long COVID and myalgic encephalomyelitis/chronic fatigue syndrome.Cell reports. Medicine · 2025Review
- Comparing DNA Methylation Landscapes in Peripheral Blood from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID Patients.International journal of molecular sciences · 2025Article
- Article
- Reproducibility of genetic risk factors identified for long COVID using combinatorial analysis across US and UK patient cohorts with diverse ancestries.Journal of translational medicine · 2025Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic disease that lacks known pathogenesis, distinctive diagnostic criteria, and effective treatment options. Understanding the genetic (and other) risk factors associated with the disease would begin to help to alleviate some of these issues for patients.
methodsWe applied both GWAS and the PrecisionLife combinatorial analytics platform to analyze ME/CFS cohorts from UK Biobank, including the Pain Questionnaire cohort, in a case-control design with 1000 cycles of fully random permutation. Results from this study were supported by a series of replication and cohort comparison experiments, including use of disjoint Verbal Interview CFS, post-viral fatigue syndrome and fibromyalgia cohorts also derived from UK Biobank, and compared results for overlap and reproducibility.
resultsCombinatorial analysis revealed 199 SNPs mapping to 14 genes that were significantly associated with 91% of the cases in the ME/CFS population. These SNPs were found to stratify by shared cases into 15 clusters (communities) made up of 84 high-order combinations of between 3 and 5 SNPs. p-values for these communities range from 2.3 × 10
conclusionsThis study provides the first detailed genetic insights into the pathophysiological mechanisms underpinning ME/CFS and offers new approaches for better diagnosis and treatment of patients.
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