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Discovery of a novel genetic susceptibility locus on X chromosome for systemic lupus erythematosus

Overview of attention for article published in Arthritis Research & Therapy, December 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
5 tweeters

Citations

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15 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Discovery of a novel genetic susceptibility locus on X chromosome for systemic lupus erythematosus
Published in
Arthritis Research & Therapy, December 2015
DOI 10.1186/s13075-015-0857-1
Pubmed ID
Authors

Zhengwei Zhu, Zhuoyuan Liang, Herty Liany, Chao Yang, Leilei Wen, Zhiming Lin, Yujun Sheng, Yan Lin, Lei Ye, Yuyan Cheng, Yan Chang, Lu Liu, Lulu Yang, Yinjuan Shi, Changbing Shen, Fusheng Zhou, Xiaodong Zheng, Jun Zhu, Bo Liang, Yantao Ding, Yi Zhou, Xianyong Yin, Huayang Tang, Xianbo Zuo, Liangdan Sun, Jin-Xin Bei, Jianjun Liu, Sen Yang, Wanling Yang, Yong Cui, Xuejun Zhang

Abstract

Systemic lupus erythematosus (SLE) is an autoimmune connective tissue disease affecting predominantly females. To discover additional genetic risk variants for SLE on the X chromosome, we performed a follow-up study of our previously published genome-wide association study (GWAS) data set in this study. Twelve single nucleotide polymorphisms (SNPs) within novel or unpublished loci with P-value < 1.00 × 10(-02) were selected for genotype with a total of 2,442 cases and 2,798 controls(including 1,156 cases and 2,330 controls from central China, 1,012 cases and 335 controls from southern China and 274 cases and 133 controls from northern China) using Sequenom Massarry system. Associaton analyses were performed using logistic regression with sample region as a covariate through PLINK 1.07 software. Combined analysis in discovery and central validation dataset discovered a novel locus rs5914778 within LINC01420 associated with SLE at genome-wide significance (P = 1.00 × 10(-08); odds ratio (OR) = 1.32). We also confirmed rs5914778 in the southern Chinese sample cohort (P = 5.31 × 10(-05); OR = 1.51), and meta-analysis of the samples from the discovery, central and southern validations regions provided robust evidence for the association of rs5914778 (P = 5.26 × 10(-12); OR = 1.35). However, this SNP did not show association with SLE in the northern sample (P = 0.33). Further analysis represent the association of northern was significantly heterogeneous compared to central and southern respectively. Our study increases the number of established susceptibility loci for SLE in Han Chinese population and has further demonstrated the important role of X-linked genetic risk variants in the pathogenesis of SLE in Chinese Han population.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Bachelor 5 13%
Student > Master 5 13%
Student > Doctoral Student 3 8%
Researcher 3 8%
Other 7 18%
Unknown 9 23%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Biochemistry, Genetics and Molecular Biology 6 15%
Agricultural and Biological Sciences 5 13%
Immunology and Microbiology 3 8%
Chemical Engineering 1 3%
Other 4 10%
Unknown 9 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 17 August 2016.
All research outputs
#1,088,079
of 12,451,992 outputs
Outputs from Arthritis Research & Therapy
#241
of 1,983 outputs
Outputs of similar age
#37,193
of 338,143 outputs
Outputs of similar age from Arthritis Research & Therapy
#43
of 300 outputs
Altmetric has tracked 12,451,992 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,983 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 90% 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 338,143 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 88% of its contemporaries.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.