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Association Study of Exon Variants in the NF-κB and TGFβ Pathways Identifies CD40 as a Modifier of Duchenne Muscular Dystrophy

Overview of attention for article published in American Journal of Human Genetics, October 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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109 Mendeley
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Article details
Title
Association Study of Exon Variants in the NF-κB and TGFβ Pathways Identifies CD40 as a Modifier of Duchenne Muscular Dystrophy
Published in
American Journal of Human Genetics, October 2016
DOI 10.1016/j.ajhg.2016.08.023
Pubmed ID
Authors

Luca Bello, Kevin M. Flanigan, Robert B. Weiss, Dystrophinopathy Project, UDP Investigators, Diane M. Dunn, Kathryn J. Swoboda, Eduard Gappmaier, Michael T. Howard, Jacinda B. Sampson, Mark B. Bromberg, Russell Butterfield, Lynne Kerr, Alan Pestronk, Julaine M. Florence, Anne Connolly, Glenn Lopate, Paul Golumbek, Jeanine Schierbecker, Betsy Malkus, Renee Renna, Catherine Siener, Richard S. Finkel, Carsten G. Bonnemann, Livija Medne, Allan M. Glanzman, Jean Flickinger, Jerry R. Mendell, Wendy M. King, Linda Lowes, Lindsay Alfano, Katherine D. Mathews, Carrie Stephan, Karla Laubenthal, Kris Baldwin, Brenda Wong, Paula Morehart, Amy Meyer, John W. Day, Cameron E. Naughton, Marcia Margolis, Pietro Spitali, Annemieke Aartsma-Rus, Francesco Muntoni, Irina Zaharieva, Alessandra Ferlini, Eugenio Mercuri, Sylvie Tuffery-Giraud, Mireille Claustres, Volker Straub, Hanns Lochmüller, Andrea Barp, Sara Vianello, Elena Pegoraro, Jaya Punetha, Heather Gordish-Dressman, Mamta Giri, Craig M. McDonald, Eric P. Hoffman, Cooperative International Neuromuscular Research Group, CINRG investigators, Avital Cnaan, Richard T. Abresch, Erik K. Henricson, Lauren P. Morgenroth, Tina Duong, V. Viswanathan Chidambaranathan, W. Douglas Biggar, Laura C. McAdam, Jean Mah, Mar Tulinius, Robert Leshner, Carolina Tesi Rocha, Mathula Thangarajh, Andrew Kornberg, Monique Ryan, Yoram Nevo, Alberto Dubrovsky, Paula R. Clemens, Hoda Abdel-Hamid, Anne M. Connolly, Jean Teasley, Tulio E. Bertorini, Kathryn North, Richard Webster, Hanna Kolski, Nancy Kuntz, Sherilyn Driscoll, Jose Carlo, Ksenija Gorni, Timothy Lotze, Peter Karachunski, John B. Bodensteiner

Abstract

The expressivity of Mendelian diseases can be influenced by factors independent from the pathogenic mutation: in Duchenne muscular dystrophy (DMD), for instance, age at loss of ambulation (LoA) varies between individuals whose DMD mutations all abolish dystrophin expression. This suggests the existence of trans-acting variants in modifier genes. Common single nucleotide polymorphisms (SNPs) in candidate genes (SPP1, encoding osteopontin, and LTBP4, encoding latent transforming growth factor β [TGFβ]-binding protein 4) have been established as DMD modifiers. We performed a genome-wide association study of age at LoA in a sub-cohort of European or European American ancestry (n = 109) from the Cooperative International Research Group Duchenne Natural History Study (CINRG-DNHS). We focused on protein-altering variants (Exome Chip) and included glucocorticoid treatment as a covariate. As expected, due to the small population size, no SNPs displayed an exome-wide significant p value (< 1.8 × 10(-6)). Subsequently, we prioritized 438 SNPs in the vicinities of 384 genes implicated in DMD-related pathways, i.e., the nuclear-factor-κB and TGFβ pathways. The minor allele at rs1883832, in the 5'-untranslated region of CD40, was associated with earlier LoA (p = 3.5 × 10(-5)). This allele diminishes the expression of CD40, a co-stimulatory molecule for T cell polarization. We validated this association in multiple independent DMD cohorts (United Dystrophinopathy Project, Bio-NMD, and Padova, total n = 660), establishing this locus as a DMD modifier. This finding points to cell-mediated immunity as a relevant pathogenetic mechanism and potential therapeutic target in DMD.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Australia 1 <1%
Unknown 108 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 21 19%
Student > Ph. D. Student 13 12%
Student > Master 11 10%
Other 10 9%
Professor 7 6%
Other 16 15%
Unknown 31 28%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 26%
Medicine and Dentistry 17 16%
Agricultural and Biological Sciences 11 10%
Neuroscience 7 6%
Chemistry 2 2%
Other 11 10%
Unknown 33 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 87. 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 01 February 2021.
All research outputs
#623,653
of 34,536,218 outputs
Outputs from American Journal of Human Genetics
#249
of 7,836 outputs
Outputs of similar age
#8,687
of 336,127 outputs
Outputs of similar age from American Journal of Human Genetics
#5
of 63 outputs
Altmetric has tracked 34,536,218 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,836 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one has done particularly well, scoring higher than 96% of its peers.
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 336,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.