• Barbara Schormair, Chen Zhao, Steven Bell, Erik Tilch, Aaro V Salminen, Benno Pütz, Yves Dauvilliers, Ambra Stefani, Birgit Högl, Werner Poewe, David Kemlink, Karel Sonka, Cornelius G Bachmann, Walter Paulus, Claudia Trenkwalder, Wolfgang H Oertel, Magdolna Hornyak, Maris Teder-Laving, Andres Metspalu, Georgios M Hadjigeorgiou, Olli Polo, Ingo Fietze, Owen A Ross, Zbigniew Wszolek, Adam S Butterworth, Nicole Soranzo, Willem H Ouwehand, David J Roberts, John Danesh, Richard P Allen, Christopher J Earley, William G Ondo, Lan Xiong, Jacques Montplaisir, Ziv Gan-Or, Markus Perola, Pavel Vodicka, Christian Dina, Andre Franke, Lukas Tittmann, StewartAlexandre F RAFRJohn and Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, ON, Canada., Svati H Shah, Christian Gieger, Annette Peters, Guy A Rouleau, Klaus Berger, Konrad Oexle, Emanuele Di Angelantonio, David A Hinds, Bertram Müller-Myhsok, Juliane Winkelmann, 23andMe Research Team, and DESIR study group.
• Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany.
• Lancet Neurol. 2017 Nov 1; 16 (11): 898907898-907.

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 × 10-8) were tested for replication in an independent GWAS of 30 770 cases and 286 913 controls, followed by a joint analysis of the discovery and replication stages. We did gene annotation, pathway, and gene-set-enrichment analyses and studied the genetic correlations between restless legs syndrome and traits of interest.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.Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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