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Schormair, B. ; Zhao, C. ; Bell, S.* ; Tilch, E. ; Salminen, A.V. ; Pütz, B.* ; Dauvilliers, Y.* ; Stefani, A.* ; Högl, B.* ; Poewe, W.* ; Kemlink, D.* ; Sonka, K.* ; Bachmann, C.G.* ; Paulus, W.* ; Trenkwalder, C.* ; Oertel, W.H. ; Hornyak, M.* ; Teder-Laving, M.* ; Metspalu, A.* ; Hadjigeorgiou, G.M.* ; Polo, O.* ; Fietze, I.* ; Ross, O.A.* ; Wszolek, Z.* ; Butterworth, A.S.* ; Soranzo, N.* ; Ouwehand, W.H.* ; Roberts, D.J.* ; Danesh, J.* ; Allen, R.P.* ; Earley, C.J.* ; Ondo, W.G.* ; Xiong, L.* ; Montplaisir, J.* ; Gan-Or, Z.* ; Perola, M.* ; Vodicka, P.* ; Dina, C.* ; Franke, A.* ; Tittmann, L.* ; Stewart, A.F.R.* ; Shah, S.H.* ; Gieger, C. ; Peters, A. ; Rouleau, G.A.* ; Berger, K.* ; Oexle, K. ; di Angelantonio, E.* ; Hinds, D.A.* ; Müller-Myhsok, B.* ; Winkelmann, J.

Identification of novel risk loci for restless legs syndrome: A meta-analysis of genome-wide association studies in individuals of European ancestry: A meta-analysis.

Lancet Neurol. 16, 898–907 (2017)
Publ. Version/Full Text Research data DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Background Restless 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. Methods In 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. Findings We 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). Interpretation Identification 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.  
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Publication type Article: Journal article
Document type Scientific Article
Language english
Publication Year 2017
HGF-reported in Year 2017
ISSN (print) / ISBN 1474-4422
e-ISSN 1474-4422
Quellenangaben Volume: 16, Issue: 11, Pages: 898–907 Article Number: , Supplement: ,
Publisher Elsevier
Reviewing status Peer reviewed
Institute(s) Institute of Neurogenomics (ING)
Institute of Epidemiology (EPI)
POF-Topic(s) 30205 - Bioengineering and Digital Health
30202 - Environmental Health
90000 - German Center for Diabetes Research
Research field(s) Genetics and Epidemiology
PSP Element(s) G-503200-001
G-504091-004
G-504000-010
G-501900-401
G-504000-001
Scopus ID 85031737266
PubMed ID 29029846
Erfassungsdatum 2017-10-11