↓ Skip to main content

The genetics of lupus: a functional perspective

Overview of attention for article published in Arthritis Research & Therapy, May 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
120 Dimensions

Readers on

mendeley
213 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The genetics of lupus: a functional perspective
Published in
Arthritis Research & Therapy, May 2012
DOI 10.1186/ar3844
Pubmed ID
Authors

Sandra G Guerra, Timothy J Vyse, Deborah S Cunninghame Graham

Abstract

Systemic lupus erythematosus (SLE) is an autoimmune disease with a strong genetic component and is characterized by chronic inflammation and the production of anti-nuclear auto-antibodies. In the era of genome-wide association studies (GWASs), elucidating the genetic factors present in SLE has been a very successful endeavor; 28 confirmed disease susceptibility loci have been mapped. In this review, we summarize the current understanding of the genetics of lupus and focus on the strongest associated risk loci found to date (P <1.0 × 10-8). Although these loci account for less than 10% of the genetic heritability and therefore do not account for the bulk of the disease heritability, they do implicate important pathways, which contribute to SLE pathogenesis. Consequently, the main focus of the review is to outline the genetic variants in the known associated loci and then to explore the potential functional consequences of the associated variants. We also highlight the genetic overlap of these loci with other autoimmune diseases, which indicates common pathogenic mechanisms. The importance of developing functional assays will be discussed and each of them will be instrumental in furthering our understanding of these associated variants and loci. Finally, we indicate that performing a larger SLE GWAS and applying a more targeted set of methods, such as the ImmunoChip and next generation sequencing methodology, are important for identifying additional loci and enhancing our understanding of the pathogenesis of SLE.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Colombia 3 1%
France 1 <1%
Germany 1 <1%
Unknown 202 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 17%
Researcher 32 15%
Student > Master 23 11%
Student > Postgraduate 21 10%
Student > Bachelor 21 10%
Other 45 21%
Unknown 34 16%
Readers by discipline Count As %
Medicine and Dentistry 65 31%
Agricultural and Biological Sciences 51 24%
Biochemistry, Genetics and Molecular Biology 32 15%
Immunology and Microbiology 15 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 1%
Other 9 4%
Unknown 38 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 July 2015.
All research outputs
#15,091,226
of 25,373,627 outputs
Outputs from Arthritis Research & Therapy
#2,193
of 3,381 outputs
Outputs of similar age
#102,606
of 178,785 outputs
Outputs of similar age from Arthritis Research & Therapy
#44
of 81 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
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 is in the 34th percentile – i.e., 34% 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 178,785 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.