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系统性红斑狼疮易感基因座 XKR6 和 GLT1D1 的遗传变异与韩国队列中儿童发病的系统性红斑狼疮相关。

Genetic variants in systemic lupus erythematosus susceptibility loci, XKR6 and GLT1D1 are associated with childhood-onset SLE in a Korean cohort.

机构信息

Department of Rheumatology, St. Vincent's Hospital, The Catholic University of Korea, Suwon, Republic of Korea.

Department of Biology, Kyung Hee University, Seoul, Republic of Korea.

出版信息

Sci Rep. 2018 Jul 2;8(1):9962. doi: 10.1038/s41598-018-28128-z.

Abstract

Impact of genetic variants on the age of systemic lupus erythematosus (SLE) onset was not fully understood. We investigated a cumulative effect of SLE-risk variants on the age of SLE onset and scanned genome-wide SNPs to search for new risk loci of childhood-onset SLE (cSLE). We analyzed 781 Korean single-center SLE subjects who previously genotyped by both Immunochip and genome-wide SNP arrays. Individual genetic risk scores (GRS) from well-validated SLE susceptibility loci were calculated and tested for their association with cSLE (<16 years at onset). Single-variant association tests were performed using a multivariable logistic regression adjusting for population stratification. GRS from SLE susceptibility loci was significantly higher in cSLE than aSLE (p = 1.23 × 10). Two SNPs, rs7460469 in XKR6 (p = 1.26 × 10, OR = 5.58) and rs7300146 in GLT1D1 p = 1.49 × 10, OR = 2.85), showed the most significant associations with cSLE. The model consisting of GRS of SLE and two newly identified loci showed an area under curve (AUC) of 0.71 in a receiver operating characteristics (ROC) curve for prediction of cSLE. In conclusion, cSLE is associated with a high cumulative SLE-risk effect and two novel SNPs rs7460469 and rs7300146, providing the first predictive model for cSLE in Koreans.

摘要

遗传变异对系统性红斑狼疮(SLE)发病年龄的影响尚未完全阐明。我们研究了 SLE 风险变异对 SLE 发病年龄的累积效应,并对全基因组 SNPs 进行扫描,以寻找儿童发病的 SLE(cSLE)的新风险位点。我们分析了 781 名韩国单中心 SLE 患者,他们之前通过免疫芯片和全基因组 SNP 芯片进行了基因分型。从经过充分验证的 SLE 易感性基因座计算个体遗传风险评分(GRS),并对其与 cSLE(发病年龄<16 岁)的相关性进行测试。使用多变量逻辑回归调整人群分层进行单变异关联测试。cSLE 的 GRS 明显高于 aSLE(p=1.23×10)。两个 SNP,XKR6 中的 rs7460469(p=1.26×10,OR=5.58)和 GLT1D1 中的 rs7300146(p=1.49×10,OR=2.85)与 cSLE 的关联最显著。由 SLE 和两个新鉴定的基因座的 GRS 组成的模型在预测 cSLE 的受试者工作特征(ROC)曲线中 AUC 为 0.71。总之,cSLE 与 SLE 的高累积风险效应和两个新的 SNP rs7460469 和 rs7300146 相关,为韩国人提供了第一个 cSLE 的预测模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c99/6028392/d8c9c77f9f26/41598_2018_28128_Fig1_HTML.jpg

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