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A genome-wide association study in multiple system atrophy

Overview of attention for article published in Neurology, September 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

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8 Facebook pages

Citations

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136 Dimensions

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144 Mendeley
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1 CiteULike
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Title
A genome-wide association study in multiple system atrophy
Published in
Neurology, September 2016
DOI 10.1212/wnl.0000000000003221
Pubmed ID
Authors

Anna Sailer, Sonja W. Scholz, Michael A. Nalls, Claudia Schulte, Monica Federoff, T. Ryan Price, Andrew Lees, Owen A. Ross, Dennis W. Dickson, Kin Mok, Niccolo E. Mencacci, Lucia Schottlaender, Viorica Chelban, Helen Ling, Sean S. O'Sullivan, Nicholas W. Wood, Bryan J. Traynor, Luigi Ferrucci, Howard J. Federoff, Timothy R. Mhyre, Huw R. Morris, Günther Deuschl, Niall Quinn, Hakan Widner, Alberto Albanese, Jon Infante, Kailash P. Bhatia, Werner Poewe, Wolfgang Oertel, Günter U. Höglinger, Ullrich Wüllner, Stefano Goldwurm, Maria Teresa Pellecchia, Joaquim Ferreira, Eduardo Tolosa, Bastiaan R. Bloem, Olivier Rascol, Wassilios G. Meissner, John A. Hardy, Tamas Revesz, Janice L. Holton, Thomas Gasser, Gregor K. Wenning, Andrew B. Singleton, Henry Houlden, Giovanna Calandra-Buonaura, Sabina Capellari, Pietro Cortelli

Abstract

To identify genetic variants that play a role in the pathogenesis of multiple system atrophy (MSA), we undertook a genome-wide association study (GWAS). We performed a GWAS with >5 million genotyped and imputed single nucleotide polymorphisms (SNPs) in 918 patients with MSA of European ancestry and 3,864 controls. MSA cases were collected from North American and European centers, one third of which were neuropathologically confirmed. We found no significant loci after stringent multiple testing correction. A number of regions emerged as potentially interesting for follow-up at p < 1 × 10(-6), including SNPs in the genes FBXO47, ELOVL7, EDN1, and MAPT. Contrary to previous reports, we found no association of the genes SNCA and COQ2 with MSA. We present a GWAS in MSA. We have identified several potentially interesting gene loci, including the MAPT locus, whose significance will have to be evaluated in a larger sample set. Common genetic variation in SNCA and COQ2 does not seem to be associated with MSA. In the future, additional samples of well-characterized patients with MSA will need to be collected to perform a larger MSA GWAS, but this initial study forms the basis for these next steps.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 <1%
Unknown 143 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 17%
Researcher 23 16%
Student > Master 16 11%
Student > Bachelor 10 7%
Professor 9 6%
Other 33 23%
Unknown 29 20%
Readers by discipline Count As %
Medicine and Dentistry 36 25%
Neuroscience 31 22%
Biochemistry, Genetics and Molecular Biology 24 17%
Agricultural and Biological Sciences 11 8%
Business, Management and Accounting 2 1%
Other 6 4%
Unknown 34 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 May 2018.
All research outputs
#7,355,485
of 25,373,627 outputs
Outputs from Neurology
#10,182
of 21,009 outputs
Outputs of similar age
#103,572
of 330,508 outputs
Outputs of similar age from Neurology
#183
of 312 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 21,009 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has gotten more attention than average, scoring higher than 50% 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 330,508 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 312 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.