Fugmann Cecilia, Reid Sarah, Pucholt Pascal, Kvarnström Marika, Björk Albin, Mofors Johannes, Sjöwall Christopher, Eriksson Per, Olsson Peter, Mandl Thomas, Forsblad-d'Elia Helena, Magnusson Bucher Sara, Johnsen Svein Joar, Norheim Katrine Brække, Appel Silke, Hammenfors Daniel, Jensen Janicke Liaaen, Palm Øyvind, Omdal Roald, Jonsson Roland, Baecklund Eva, Wahren-Herlenius Marie, Leonard Dag, Imgenberg-Kreuz Juliana, Nordmark Gunnel
Rheumatology, Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Sweden, Uppsala.
Division of Rheumatology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Rheumatology (Oxford). 2025 Jul 1;64(7):4341-4346. doi: 10.1093/rheumatology/keae693.
To calculate a polygenic risk score (PRS) based on single nucleotide variants (SNVs) previously associated with primary Sjögren's disease (SjD) with genome-wide significance and determine the genetic risk for SjD stratified by antibodies, sex and age at diagnosis.
Patients with SjD (n = 1065) were genotyped using Illumina OmniExpressExome chip. Control genotype data were available (n = 7742). Two PRSs were constructed, one including HLA gene variants (n = 21 SNVs), and one without HLA (n = 18 SNVs). High PRS quartile (Q4) individuals were compared with low PRS (Q1-3).
A high PRS was associated with SSA antibody-positive SjD (OR 9.16, 95% CI 7.75-10.85, P = 3.7 × 10-146), and strengthened in SjD positive for both SSA/SSB antibodies (OR 13.67, 95% CI 10.88-17.32, P = 4.6 × 10-108). High PRS classified SSA/SSB antibody-positive SjD with very good accuracy (AUC 0.86). PRS without HLA showed a weaker association with SSA/SSB positive SjD (OR 2.09, 95% CI 1.71-2.55, P = 6.4 × 10-13). Antibody negative SjD displayed a PRS similar to controls. Patients in the high PRS quartile were significantly younger at diagnosis, 48.9 ± 14.9 vs 53.4 ± 13.4 years in the low PRS quartiles (Q1-3), P = 2.2 × 10-6, and presented higher frequencies of ANA, SSA and SSA/SSB antibodies, P < 1 × 10-5.
A high PRS is associated with SSA/SSB antibody positivity and early disease onset, both largely attributed to the weight of the HLA alleles. Integration of PRS with other biomarkers applied to clinical phenotypes could be a useful tool for disease risk stratification and treatment decisions.
基于先前与原发性干燥综合征(SjD)相关且具有全基因组意义的单核苷酸变异(SNV)计算多基因风险评分(PRS),并确定根据抗体、性别和诊断时年龄分层的SjD遗传风险。
使用Illumina OmniExpressExome芯片对SjD患者(n = 1065)进行基因分型。可获得对照基因型数据(n = 7742)。构建了两个PRS,一个包括HLA基因变异(n = 21个SNV),另一个不包括HLA(n = 18个SNV)。将高PRS四分位数(Q4)个体与低PRS(Q1 - 3)个体进行比较。
高PRS与抗SSA抗体阳性的SjD相关(OR 9.16,95% CI 7.75 - 10.85,P = 3.7×10 - 146),在抗SSA/抗SSB抗体均为阳性的SjD中更强(OR 13.67,95% CI 10.88 - 17.32,P = 4.6×10 - 108)。高PRS对抗SSA/抗SSB抗体阳性的SjD分类准确率非常高(AUC 0.86)。不包括HLA的PRS与抗SSA/抗SSB阳性的SjD相关性较弱(OR 2.09,95% CI 1.71 - 2.55,P = 6.4×10 - 13)。抗体阴性的SjD显示出与对照相似的PRS。高PRS四分位数的患者诊断时年龄显著更小,分别为48.9±14.9岁和低PRS四分位数(Q1 - 3)的53.4±13.4岁,P = 2.2×10 - 6,并且抗核抗体(ANA)、抗SSA和抗SSA/抗SSB抗体的频率更高,P < 1×10 - 5。
高PRS与抗SSA/抗SSB抗体阳性和疾病早期发作相关,这两者在很大程度上归因于HLA等位基因的权重。将PRS与应用于临床表型的其他生物标志物相结合可能是疾病风险分层和治疗决策的有用工具。