Author: Topaloudi, Apostolia; Zagoriti, Zoi; Flint, Alyssa Camille; Martinez, Melanie Belle; Yang, Zhiyu; Tsetsos, Fotis; Christou, Yiolanda-Panayiota; Lagoumintzis, George; Yannaki, Evangelia; Zamba-Papanicolaou, Eleni; Tzartos, John; Tsekmekidou, Xanthippi; Kotsa, Kalliopi; Maltezos, Efstratios; Papanas, Nikolaos; Papazoglou, Dimitrios; Passadakis, Ploumis; Roumeliotis, Athanasios; Roumeliotis, Stefanos; Theodoridis, Marios; Thodis, Elias; Panagoutsos, Stylianos; Yovos, John; Stamatoyannopoulos, John; Poulas, Konstantinos; Kleopa, Kleopas; Tzartos, Socrates; Georgitsi, Marianthi; Paschou, Peristera
                    Title: Myasthenia gravis genome-wide association study implicates AGRN as a risk locus.  Cord-id: chsbcjkc  Document date: 2021_8_16
                    ID: chsbcjkc
                    
                    Snippet: BACKGROUND Myasthenia gravis (MG) is a rare autoimmune disorder affecting the neuromuscular junction (NMJ). Here, we investigate the genetic architecture of MG via a genome-wide association study (GWAS) of the largest MG data set analysed to date. METHODS We performed GWAS meta-analysis integrating three different data sets (total of 1401 cases and 3508 controls). We carried out human leucocyte antigen (HLA) fine-mapping, gene-based and tissue enrichment analyses and investigated genetic correla
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: BACKGROUND Myasthenia gravis (MG) is a rare autoimmune disorder affecting the neuromuscular junction (NMJ). Here, we investigate the genetic architecture of MG via a genome-wide association study (GWAS) of the largest MG data set analysed to date. METHODS We performed GWAS meta-analysis integrating three different data sets (total of 1401 cases and 3508 controls). We carried out human leucocyte antigen (HLA) fine-mapping, gene-based and tissue enrichment analyses and investigated genetic correlation with 13 other autoimmune disorders as well as pleiotropy across MG and correlated disorders. RESULTS We confirmed the previously reported MG association with TNFRSF11A (rs4369774; p=1.09×10-13, OR=1.4). Furthermore, gene-based analysis revealed AGRN as a novel MG susceptibility gene. HLA fine-mapping pointed to two independent MG loci: HLA-DRB1 and HLA-B. MG onset-specific analysis reveals differences in the genetic architecture of early-onset MG (EOMG) versus late-onset MG (LOMG). Furthermore, we find MG to be genetically correlated with type 1 diabetes (T1D), rheumatoid arthritis (RA), late-onset vitiligo and autoimmune thyroid disease (ATD). Cross-disorder meta-analysis reveals multiple risk loci that appear pleiotropic across MG and correlated disorders. DISCUSSION Our gene-based analysis identifies AGRN as a novel MG susceptibility gene, implicating for the first time a locus encoding a protein (agrin) that is directly relevant to NMJ activation. Mutations in AGRN have been found to underlie congenital myasthenic syndrome. Our results are also consistent with previous studies highlighting the role of HLA and TNFRSF11A in MG aetiology and the different risk genes in EOMG versus LOMG. Finally, we uncover the genetic correlation of MG with T1D, RA, ATD and late-onset vitiligo, pointing to shared underlying genetic mechanisms.
 
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