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A genome-wide association study of myasthenia gravis

Authors :
Sampath Arepalli
Gabriella Restagno
David P. Richman
Julaine Florence
Michael Benatar
Sean Chong
Miriam Freimer
Henry J. Kaminski
Sonja W. Scholz
Robert M. Pascuzzi
Andrea M. Corse
Carlo Provenzano
Bryan J. Traynor
Emanuela Bartoccioni
Janel O. Johnson
Srikanth Muppidi
Daniel B. Drachman
Gil I. Wolfe
Mike A. Nalls
Janice M. Massey
Adriano Chiò
Manisha Chopra
Derrick Blackmore
Flavia Scuderi
Mamatha Pasnoor
Roberta Ricciardi
Joel Oger
J. Raphael Gibbs
April McVey
Edoardo Errichiello
Charlie Wulf
Theresa Jiwa
Mazen M. Dimachkie
Hannah A. Pliner
Richard J. Barohn
Michael W. Nicolle
Zaeem A. Siddiqi
Giuseppe Marangi
Amelia Evoli
Vinay Chaudhry
James F. Howard
Wilma J. Koopman
Bernadette Lipscomb
Mark Macek
Michelangelo Maestri
Dena G. Hernandez
Alan Pestronk
Julie Rowin
John T. Kissel
Donald B. Sanders
Mario Sabatelli
Michelle M. Mezei
Alan E. Renton
Yevgeniya Abramzon
Aimee Soloway
Source :
JAMA neurology, vol 72, iss 4
Publication Year :
2015

Abstract

Importance Myasthenia gravis is a chronic, autoimmune, neuromuscular disease characterized by fluctuating weakness of voluntary muscle groups. Although genetic factors are known to play a role in this neuroimmunological condition, the genetic etiology underlying myasthenia gravis is not well understood. Objective To identify genetic variants that alter susceptibility to myasthenia gravis, we performed a genome-wide association study. Design, Setting, and Participants DNA was obtained from 1032 white individuals from North America diagnosed as having acetylcholine receptor antibody–positive myasthenia gravis and 1998 race/ethnicity-matched control individuals from January 2010 to January 2011. These samples were genotyped on Illumina OmniExpress single-nucleotide polymorphism arrays. An independent cohort of 423 Italian cases and 467 Italian control individuals were used for replication. Main Outcomes and Measures We calculated P values for association between 8 114 394 genotyped and imputed variants across the genome and risk for developing myasthenia gravis using logistic regression modeling. A threshold P value of 5.0 × 10 −8 was set for genome-wide significance after Bonferroni correction for multiple testing. Results In the overall case-control cohort, we identified association signals at CTLA4 (rs231770; P = 3.98 × 10 −8 ; odds ratio, 1.37; 95% CI, 1.25-1.49), HLA-DQA1 (rs9271871; P = 1.08 × 10 −8 ; odds ratio, 2.31; 95% CI, 2.02 - 2.60), and TNFRSF11A (rs4263037; P = 1.60 × 10 −9 ; odds ratio, 1.41; 95% CI, 1.29-1.53). These findings replicated for CTLA4 and HLA-DQA1 in an independent cohort of Italian cases and control individuals. Further analysis revealed distinct, but overlapping, disease-associated loci for early- and late-onset forms of myasthenia gravis. In the late-onset cases, we identified 2 association peaks: one was located in TNFRSF11A (rs4263037; P = 1.32 × 10 −12 ; odds ratio, 1.56; 95% CI, 1.44-1.68) and the other was detected in the major histocompatibility complex on chromosome 6p21 ( HLA-DQA1 ; rs9271871; P = 7.02 × 10 −18 ; odds ratio, 4.27; 95% CI, 3.92-4.62). Association within the major histocompatibility complex region was also observed in early-onset cases ( HLA-DQA1 ; rs601006; P = 2.52 × 10 −11 ; odds ratio, 4.0; 95% CI, 3.57-4.43), although the set of single-nucleotide polymorphisms was different from that implicated among late-onset cases. Conclusions and Relevance Our genetic data provide insights into aberrant cellular mechanisms responsible for this prototypical autoimmune disorder. They also suggest that clinical trials of immunomodulatory drugs related to CTLA4 and that are already Food and Drug Administration approved as therapies for other autoimmune diseases could be considered for patients with refractory disease.

Details

ISSN :
21686157
Volume :
72
Issue :
4
Database :
OpenAIRE
Journal :
JAMA neurology
Accession number :
edsair.doi.dedup.....e590f30c3ded28d1fba4f69742252501