Rheumatology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Ann Rheum Dis. 2011 Feb;70(2):259-65. doi: 10.1136/ard.2009.126821. Epub 2010 Dec 14.
Rheumatoid arthritis (RA) can be divided into two major subsets based on the presence or absence of antibodies to citrullinated peptide antigens (ACPA). Until now, data from genome-wide association studies (GWAS) have only been published from ACPA-positive subsets of RA or from studies that have not separated the two subsets. The aim of the current study is to provide and compare GWAS data for both subsets.
GWAS using the Illumina 300K chip was performed for 774 ACPA-negative patients with RA, 1147 ACPA-positive patients with RA and 1079 controls from the Swedish population-based case-control study EIRA. Imputation was performed which allowed comparisons using 1,723,056 single nucleotide polymorphisms (SNPs). No SNP achieved genome-wide significance (2.9 × 10⁻⁸) in the comparison between ACPA-negative RA and controls. A case-case association study was then performed between ACPA-negative and ACPA-positive RA groups. The major difference in this analysis was in the HLA region where 768 HLA SNPs passed the threshold for genome-wide significance whereas additional contrasting SNPs did not reach genome-wide significance. However, one SNP close to the RPS12P4 locus in chromosome 2 reached a p value of 2 × 10⁶ and this locus can thus be considered as a tentative candidate locus for ACPA-negative RA.
ACPA-positive and ACPA-negative RA display significant risk allele frequency differences which are mainly confined to the HLA region. The data provide further support for distinct genetic aetiologies of RA subsets and emphasise the need to consider them separately in genetic as well as functional studies of this disease.
类风湿关节炎(RA)可根据是否存在抗瓜氨酸肽抗原(ACPA)抗体分为两个主要亚组。到目前为止,全基因组关联研究(GWAS)的数据仅发表于 ACPA 阳性 RA 亚组或未对这两个亚组进行分离的研究中。本研究旨在提供并比较这两个亚组的 GWAS 数据。
使用 Illumina 300K 芯片对来自瑞典基于人群的病例对照研究 EIRA 的 774 例 ACPA 阴性 RA 患者、1147 例 ACPA 阳性 RA 患者和 1079 例对照进行了 GWAS。通过引入允许使用 1723056 个单核苷酸多态性(SNP)进行比较的方法进行了推断。在 ACPA 阴性 RA 与对照之间的比较中,没有 SNP 达到全基因组显著水平(2.9×10⁻⁸)。然后在 ACPA 阴性和 ACPA 阳性 RA 组之间进行了病例病例关联研究。该分析的主要差异在于 HLA 区域,其中 768 个 HLA SNP 通过了全基因组显著水平的阈值,而其他对比 SNP 则未达到全基因组显著水平。然而,染色体 2 上靠近 RPS12P4 基因座的一个 SNP 达到了 2×10⁶的 p 值,因此该基因座可以被认为是 ACPA 阴性 RA 的候选基因座。
ACPA 阳性和 ACPA 阴性 RA 显示出显著的风险等位基因频率差异,这些差异主要局限于 HLA 区域。这些数据进一步支持 RA 亚组的不同遗传病因,并强调在对这种疾病的遗传和功能研究中需要分别考虑它们。