Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio.
Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Arthritis Rheumatol. 2017 Nov;69(11):2222-2232. doi: 10.1002/art.40216. Epub 2017 Oct 12.
Juvenile idiopathic arthritis (JIA) is the most common childhood rheumatic disease and has a strong genomic component. To date, JIA genetic association studies have had limited sample sizes, used heterogeneous patient populations, or included only candidate regions. The aim of this study was to identify new associations between JIA patients with oligoarticular disease and those with IgM rheumatoid factor (RF)-negative polyarticular disease, which are clinically similar and the most prevalent JIA disease subtypes.
Three cohorts comprising 2,751 patients with oligoarticular or RF-negative polyarticular JIA were genotyped using the Affymetrix Genome-Wide SNP Array 6.0 or the Illumina HumanCoreExome-12+ Array. Overall, 15,886 local and out-of-study controls, typed on these platforms or the Illumina HumanOmni2.5, were used for association analyses. High-quality single-nucleotide polymorphisms (SNPs) were used for imputation to 1000 Genomes prior to SNP association analysis.
Meta-analysis showed evidence of association (P < 1 × 10 ) at 9 regions: PRR9_LOR (P = 5.12 × 10 ), ILDR1_CD86 (P = 6.73 × 10 ), WDFY4 (P = 1.79 × 10 ), PTH1R (P = 1.87 × 10 ), RNF215 (P = 3.09 × 10 ), AHI1_LINC00271 (P = 3.48 × 10 ), JAK1 (P = 4.18 × 10 ), LINC00951 (P = 5.80 × 10 ), and HBP1 (P = 7.29 × 10 ). Of these, PRR9_LOR, ILDR1_CD86, RNF215, LINC00951, and HBP1 were shown, for the first time, to be autoimmune disease susceptibility loci. Furthermore, associated SNPs included cis expression quantitative trait loci for WDFY4, CCDC12, MTP18, SF3A1, AHI1, COG5, HBP1, and GPR22.
This study provides evidence of both unique JIA risk loci and risk loci overlapping between JIA and other autoimmune diseases. These newly associated SNPs are shown to influence gene expression, and their bounding regions tie into molecular pathways of immunologic relevance. Thus, they likely represent regions that contribute to the pathology of oligoarticular JIA and RF-negative polyarticular JIA.
幼年特发性关节炎(JIA)是最常见的儿童风湿性疾病,具有很强的基因组成分。迄今为止,JIA 遗传关联研究的样本量有限,使用了异质的患者人群,或者只包括了候选区域。本研究的目的是确定寡关节炎和 IgM 类风湿因子(RF)阴性多关节炎 JIA 患者之间的新关联,这两种疾病在临床上相似,也是最常见的 JIA 疾病亚型。
三个队列包括 2751 例寡关节炎或 RF 阴性多关节炎 JIA 患者,使用 Affymetrix Genome-Wide SNP Array 6.0 或 Illumina HumanCoreExome-12+ 阵列进行基因分型。总共使用了 15886 名在这些平台上或在 Illumina HumanOmni2.5 上进行分型的局部和研究外对照者进行关联分析。在 SNP 关联分析之前,使用高质量的单核苷酸多态性(SNP)进行 1000 Genomes 的导入。
荟萃分析显示 9 个区域存在关联证据(P < 1 × 10 ):PRR9_LOR(P = 5.12 × 10 )、ILDR1_CD86(P = 6.73 × 10 )、WDFY4(P = 1.79 × 10 )、PTH1R(P = 1.87 × 10 )、RNF215(P = 3.09 × 10 )、AHI1_LINC00271(P = 3.48 × 10 )、JAK1(P = 4.18 × 10 )、LINC00951(P = 5.80 × 10 )和 HBP1(P = 7.29 × 10 )。其中,PRR9_LOR、ILDR1_CD86、RNF215、LINC00951 和 HBP1 首次被证明是自身免疫疾病易感基因座。此外,相关 SNP 包括 WDFY4、CCDC12、MTP18、SF3A1、AHI1、COG5、HBP1 和 GPR22 的顺式表达数量性状基因座。
本研究提供了 JIA 独特风险基因座和 JIA 与其他自身免疫性疾病重叠风险基因座的证据。这些新的关联 SNP 被证明会影响基因表达,其边界区域与免疫相关的分子途径有关。因此,它们可能代表了导致寡关节炎 JIA 和 RF 阴性多关节炎 JIA 发病机制的区域。