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Association analyses confirm five susceptibility loci for systemic lupus erythematosus in the Han Chinese population

Overview of attention for article published in Arthritis Research & Therapy, March 2015
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Title
Association analyses confirm five susceptibility loci for systemic lupus erythematosus in the Han Chinese population
Published in
Arthritis Research & Therapy, March 2015
DOI 10.1186/s13075-015-0602-9
Pubmed ID
Authors

Yu-jun Sheng, Jian-hua Xu, Yong-gui Wu, Xian-bo Zuo, Jin-ping Gao, Yan Lin, Zheng-wei Zhu, Lei-lei Wen, Chao Yang, Lu Liu, Yu-yan Cheng, Yan Chang, Lu-lu Yang, Fu-sheng Zhou, Xian-fa Tang, Xiao-dong Zheng, Xian-yong Yin, Hua-yang Tang, Liang-dan Sun, Yong Cui, Sen Yang, Xue-jun Zhang

Abstract

Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease. Currently, numerous genetic loci of SLE have been confirmed. Here we try to further explore additional genes contributing to SLE susceptibility in this study. Forty nine single nucleotide polymorphisms (SNPs) with moderate-risk for SLE in previous study were genotyped in a large-scale replication study with a total of 3,522 cases and 8,252 controls using the Sequenom Massarray system. Association analyses were performed using logistic regression with gender or sample cohorts as a covariate through PLINK 1.07 software. This replication effort confirmed five reported SLE susceptibility loci reaching genome-wide levels of significance (P meta <5.00 × 10(-08)): TNFSF4 (rs1418190, odds ratio (OR) = 0.81, P meta = 1.08 × 10(-08); rs4916219, OR = 0.80, P meta = 7.77 × 10(-09)), IRF8 (rs2934498, OR = 1.25, P meta = 4.97 × 10(-09)), miR-146a (rs2431697, OR = 0.69, P meta = 1.15 × 10(-22)), CD44 (rs2732547, OR = 0.82, P meta = 1.55 × 10(-11)), and TMEM39A (rs12494314, OR = 0.84, P meta = 1.01 × 10(-09)). Further logistic regression analysis indicated that the genetic effects within TNFSF4 detected in this study are independent from our previously reported signals. This study increases the number of established susceptibility loci for SLE in Han Chinese population and highlights the contribution of multiple variants of modest effect. Although further studies will be required to identify the causal alleles within these loci, the findings make a significant step forward in our understanding of the genetic contribution to SLE in Chinese population.

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Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 29%
Student > Ph. D. Student 3 11%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Researcher 2 7%
Other 4 14%
Unknown 7 25%
Readers by discipline Count As %
Medicine and Dentistry 5 18%
Biochemistry, Genetics and Molecular Biology 4 14%
Immunology and Microbiology 4 14%
Agricultural and Biological Sciences 2 7%
Nursing and Health Professions 1 4%
Other 4 14%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 April 2016.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Arthritis Research & Therapy
#3,132
of 3,381 outputs
Outputs of similar age
#239,913
of 278,365 outputs
Outputs of similar age from Arthritis Research & Therapy
#70
of 76 outputs
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