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Genome-wide association study meta-analysis identifies five new loci for systemic lupus erythematosus

Overview of attention for article published in Arthritis Research & Therapy, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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Title
Genome-wide association study meta-analysis identifies five new loci for systemic lupus erythematosus
Published in
Arthritis Research & Therapy, May 2018
DOI 10.1186/s13075-018-1604-1
Pubmed ID
Authors

Antonio Julià, Francisco Javier López-Longo, José J. Pérez Venegas, Silvia Bonàs-Guarch, Àlex Olivé, José Luís Andreu, Mª. Ángeles Aguirre-Zamorano, Paloma Vela, Joan M. Nolla, José Luís Marenco de la Fuente, Antonio Zea, José María Pego-Reigosa, Mercedes Freire, Elvira Díez, Esther Rodríguez-Almaraz, Patricia Carreira, Ricardo Blanco, Víctor Martínez Taboada, María López-Lasanta, Mireia López Corbeto, Josep M. Mercader, David Torrents, Devin Absher, Sara Marsal, Antonio Fernández-Nebro

Abstract

Systemic lupus erythematosus (SLE) is a common systemic autoimmune disease with a complex genetic inheritance. Genome-wide association studies (GWAS) have significantly increased the number of significant loci associated with SLE risk. To date, however, established loci account for less than 30% of the disease heritability and additional risk variants have yet to be identified. Here we performed a GWAS followed by a meta-analysis to identify new genome-wide significant loci for SLE. We genotyped a cohort of 907 patients with SLE (cases) and 1524 healthy controls from Spain and performed imputation using the 1000 Genomes reference data. We tested for association using logistic regression with correction for the principal components of variation. Meta-analysis of the association results was subsequently performed on 7,110,321 variants using genetic data from a large cohort of 4036 patients with SLE and 6959 controls of Northern European ancestry. Genetic association was also tested at the pathway level after removing the effect of known risk loci using PASCAL software. We identified five new loci associated with SLE at the genome-wide level of significance (p < 5 × 10- 8): GRB2, SMYD3, ST8SIA4, LAT2 and ARHGAP27. Pathway analysis revealed several biological processes significantly associated with SLE risk: B cell receptor signaling (p = 5.28 × 10- 6), CTLA4 co-stimulation during T cell activation (p = 3.06 × 10- 5), interleukin-4 signaling (p = 3.97 × 10- 5) and cell surface interactions at the vascular wall (p = 4.63 × 10- 5). Our results identify five novel loci for SLE susceptibility, and biologic pathways associated via multiple low-effect-size loci.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 20%
Student > Ph. D. Student 14 12%
Student > Bachelor 13 11%
Other 8 7%
Student > Master 8 7%
Other 23 19%
Unknown 29 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 27%
Medicine and Dentistry 23 19%
Immunology and Microbiology 11 9%
Agricultural and Biological Sciences 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 10 8%
Unknown 36 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 June 2018.
All research outputs
#3,623,572
of 25,382,440 outputs
Outputs from Arthritis Research & Therapy
#820
of 3,381 outputs
Outputs of similar age
#69,663
of 344,275 outputs
Outputs of similar age from Arthritis Research & Therapy
#28
of 58 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 74% 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 344,275 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 58 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 50% of its contemporaries.