Genome-Wide Association Study of Late-Onset Myasthenia Gravis: Confirmation of TNFRSF11A and Identification of ZBTB10 and Three Distinct HLA Associations

Abstract To investigate the genetics of late-onset myasthenia gravis (LOMG), we conducted a genome-wide association study imputation of >6 million single nucleotide polymorphisms (SNPs) in 532 LOMG cases (anti-acetylcholine receptor [AChR] antibody positive; onset age ≥50 years) and 2,128 controls matched for sex and population substructure. The data confirm reported TNFRSF11A associations (rs4574025, P = 3.9 × 10−7, odds ratio [OR] 1.42) and identify a novel candidate gene, ZBTB10, achieving genome-wide significance (rs6998967, P = 8.9 × 10−10, OR 0.53). Several other SNPs showed suggestive significance including rs2476601 (P = 6.5 × 10−6, OR 1.62) encoding the PTPN22 R620W variant noted in early-onset myasthenia gravis (EOMG) and other autoimmune diseases. In contrast, EOMG-associated SNPs in TNIP1 showed no association in LOMG, nor did other loci suggested for EOMG. Many SNPs within the major histocompatibility complex (MHC) region showed strong associations in LOMG, but with smaller effect sizes than in EOMG (highest OR ∼2 versus ∼6 in EOMG). Moreover, the strongest associations were in opposite directions from EOMG, including an OR of 0.54 for DQA1*05:01 in LOMG (P = 5.9 × 10−12) versus 2.82 in EOMG (P = 3.86 × 10−45). Association and conditioning studies for the MHC region showed three distinct and largely independent association peaks for LOMG corresponding to (a) MHC class II (highest attenuation when conditioning on DQA1), (b) HLA-A and (c) MHC class III SNPs. Conditioning studies of human leukocyte antigen (HLA) amino acid residues also suggest potential functional correlates. Together, these findings emphasize the value of subgrouping myasthenia gravis patients for clinical and basic investigations and imply distinct predisposing mechanisms in LOMG.

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PID https://www.doi.org/10.6084/m9.figshare.c.4255619.v1
PID https://www.doi.org/10.15496/publikation-19792
PID https://www.doi.org/10.6084/m9.figshare.c.4255619
URL http://dx.doi.org/10.6084/m9.figshare.c.4255619
URL http://dx.doi.org/10.15496/publikation-19792
URL http://dx.doi.org/10.6084/m9.figshare.c.4255619.v1
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Author Seldin, Michael
Author Alkhairy, Omar
Author Lee, Annette
Author Lamb, Janine
Author Sussman, Jon
Author Pirskanen-Matell, Ritva
Author Piehl, Fredrik
Author Verschuuren, Jan
Author Kostera-Pruszczyk, Anna
Author Szczudlik, Piotr
Author McKee, David
Author Maniaol, Angelina
Author Harbo, Hanne
Author Lie, Benedicte
Author Melms, Arthur
Author Henri-Jean Garchon
Author Willcox, Nicholas
Author Gregersen, Peter
Author Hammarstrom, Lennart
Contributor University, My
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Publication Date 2015-01-01
Publisher Figshare
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Language UNKNOWN
Resource Type Collection; Other ORP type
keyword FOS: Health sciences
keyword FOS: Biological sciences
keyword FOS: Clinical medicine
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::2976439abf65cb6998758b14d71514ef
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Last Updated 19 December 2020, 09:55 (CET)
Created 19 December 2020, 09:55 (CET)