SynthesisThe Lancet. Neurology2017
Identification of novel risk loci for restless legs syndrome in genome-wide association studies in individuals of European ancestry: a meta-analysis.
Synthesis in The Lancet. Neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 14 of them syntheses 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
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Who cites it
108 citing papers in PubMed, 14 syntheses or guidelines pooled it, 237 citations in OpenAlex.
- Treatment of restless legs syndrome and periodic limb movement disorder: an American Academy of Sleep Medicine clinical practice guideline.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Guideline
- Genomic Analysis Identifies Risk Factors in Restless Legs Syndrome.Annals of neurology · 2024Pooled it
- Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction.Nature genetics · 2024Pooled it
- Genome-wide meta-analysis, functional genomics and integrative analyses implicate new risk genes and therapeutic targets for anxiety disorders.Nature human behaviour · 2024Pooled it
- Genome-wide study of longitudinal brain imaging measures of multiple sclerosis progression across six clinical trials.Scientific reports · 2023Pooled it
- Pooled it
- Putative Animal Models of Restless Legs Syndrome: A Systematic Review and Evaluation of Their Face and Construct Validity.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023Pooled it
- Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways.Nature genetics · 2022Pooled it
- Revisiting brain iron deficiency in restless legs syndrome using magnetic resonance imaging.NeuroImage. Clinical · 2022Pooled it
- Genome-wide association study of pediatric obsessive-compulsive traits: shared genetic risk between traits and disorder.Translational psychiatry · 2021Pooled it
- Large genome-wide association study identifies three novel risk variants for restless legs syndrome.Communications biology · 2020Pooled it
- Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes.Nature communications · 2019Pooled it
- Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways.Nature genetics · 2019Pooled it
- [Frequent neurological diseases associated with the restless legs syndrome].Der Nervenarzt · 2018Pooled it
- Epigenetic Insights and Exosome-Based Therapeutics for Insomnia: Bridging Sleep Biology and Precision Medicine.Molecular neurobiology · 2026Review
- Emerging genetics of sleep and circadian disorders.Current opinion in pediatrics · 2026Article
- Serum Concentrations of Cytokines in Patients With Restless Legs Syndrome.Journal of sleep research · 2026Article
- Polygenic risk scores in neurological disorders: restless legs syndrome as a translational model.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026Article
- Ancestry-specific and multi-ancestry genome-wide association studies of restless legs syndrome.medRxiv : the preprint server for health sciences · 2026Article
- Restless Legs Syndrome: A Network Model of Iron-Dependent Neuromodulation-A Narrative Review.Brain sciences · 2026Review
48 more citing papers are in PubMed but not listed here.
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Authors and funding
53 authors at 20 institutions in 10 countries.
Funding
Abstract
backgroundRestless legs syndrome is a prevalent chronic neurological disorder with potentially severe mental and physical health consequences. Clearer understanding of the underlying pathophysiology is needed to improve treatment options. We did a meta-analysis of genome-wide association studies (GWASs) to identify potential molecular targets.
methodsIn the discovery stage, we combined three GWAS datasets (EU-RLS GENE, INTERVAL, and 23andMe) with diagnosis data collected from 2003 to 2017, in face-to-face interviews or via questionnaires, and involving 15 126 cases and 95 725 controls of European ancestry. We identified common variants by fixed-effect inverse-variance meta-analysis. Significant genome-wide signals (p≤5 × 10
findingsWe identified and replicated 13 new risk loci for restless legs syndrome and confirmed the previously identified six risk loci. MEIS1 was confirmed as the strongest genetic risk factor for restless legs syndrome (odds ratio 1·92, 95% CI 1·85-1·99). Gene prioritisation, enrichment, and genetic correlation analyses showed that identified pathways were related to neurodevelopment and highlighted genes linked to axon guidance (associated with SEMA6D), synapse formation (NTNG1), and neuronal specification (HOXB cluster family and MYT1).
interpretationIdentification of new candidate genes and associated pathways will inform future functional research. Advances in understanding of the molecular mechanisms that underlie restless legs syndrome could lead to new treatment options. We focused on common variants; thus, additional studies are needed to dissect the roles of rare and structural variations.
fundingDeutsche Forschungsgemeinschaft, Helmholtz Zentrum München-Deutsches Forschungszentrum für Gesundheit und Umwelt, National Research Institutions, NHS Blood and Transplant, National Institute for Health Research, British Heart Foundation, European Commission, European Research Council, National Institutes of Health, National Institute of Neurological Disorders and Stroke, NIH Research Cambridge Biomedical Research Centre, and UK Medical Research Council.
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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.