↓ Skip to main content

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

Overview of attention for article published in Molecular Medicine, November 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
51 Mendeley
Title
Genome-Wide Association Study of Late-Onset Myasthenia Gravis: Confirmation of TNFRSF11A and Identification of ZBTB10 and Three Distinct HLA Associations
Published in
Molecular Medicine, November 2015
DOI 10.2119/molmed.2015.00232
Pubmed ID
Authors

Michael F. Seldin, Omar K. Alkhairy, Annette T. Lee, Janine A. Lamb, Jon Sussman, Ritva Pirskanen-Matell, Fredrik Piehl, Jan J. G. M. Verschuuren, Anna Kostera-Pruszczyk, Piotr Szczudlik, David McKee, Angelina H. Maniaol, Hanne F. Harbo, Benedicte A. Lie, Arthur Melms, Henri-Jean Garchon, Nicholas Willcox, Peter K. Gregersen, Lennart Hammarstrom

Abstract

To investigate the genetics of late-onset myasthenia gravis (LOMG), we conducted a genome-wide association study imputation of >6 million 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(-07), 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(-06), OR =1.62) encoding the PTPN22 R620W variant noted in early-onset MG (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 vs. ~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)) vs. 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 i) MHC class II (highest attenuation when conditioning on DQA1), ii) HLA-A and iii) MHC class III SNPs. Conditioning studies of HLA amino acid residues also suggest potential functional correlates. Together, these findings emphasize the value of subgrouping MG patients for clinical and basic investigations, and imply distinct predisposing mechanisms in LOMG.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Student > Bachelor 8 16%
Researcher 5 10%
Other 4 8%
Professor > Associate Professor 4 8%
Other 11 22%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 17 33%
Biochemistry, Genetics and Molecular Biology 6 12%
Agricultural and Biological Sciences 5 10%
Immunology and Microbiology 5 10%
Neuroscience 3 6%
Other 3 6%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2015.
All research outputs
#14,828,066
of 22,832,057 outputs
Outputs from Molecular Medicine
#781
of 1,138 outputs
Outputs of similar age
#155,999
of 282,792 outputs
Outputs of similar age from Molecular Medicine
#7
of 21 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,138 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 282,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.