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Sökning: WFRF:(Lerang K.)

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1.
  • Bolin, Karin, 1982-, et al. (författare)
  • Variants in BANK1 are associated with lupus nephritis
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • Background: Lupus nephritis (LN) is a cause of significant morbidity in SLE. While the genetic background to SLE has been well characterized, less is known about genes predisposing to LN.Methods: The study consisted of 2886 SLE patients, including 947 (33%) with LN. The discovery cohort (Sweden, n=1091) and replication cohort 1 (US, n=962) were genotyped on the Immunochip and replication cohort 2 (Norway/Denmark, n=833) on a custom array chip. Allele frequencies were compared between patients with LN, proliferative nephritis, end-stage renal disease and LN negative patients. SNPs with p-value <0.001 in the discovery cohort were analyzed in replication cohort 1. Ten SNPs associated with LN in the discovery cohort (p<0.0002) were genotyped in replication cohort 2. DNA methylation data were available for 180 LN patients from the discovery cohort.Results: In the discovery cohort, six gene loci were associated with LN (p<1x10-4, NFKBIA, CACNA1S, ITGA1, BANK1, OR2Y and PHCA). SNPs in BANK1 showed the strongest association with LN in replication cohort 1 (p=9.5x10-4), with a tendency for an association in replication cohort 2 (p=0.052). In a meta-analysis of all three cohorts the association between LN and BANK1 rs4699259, was strengthened (p=1.7x10‑7). There were no associations to proliferative nephritis or ESRD in the meta-analysis. Methylation quantitative trait loci (MeQTL) effects between a CpG site and several SNPs in BANK1 were identified.Conclusion: Genetic variations in BANK1 are associated with LN. There is evidence for genetic regulation of DNA methylation within the BANK1 locus, however, the exact role of BANK1 in LN pathogenesis remains to be elucidated.
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2.
  • Bolin, Karin, et al. (författare)
  • Variants in BANK1 are associated with lupus nephritis of European ancestry
  • 2021
  • Ingår i: Genes and Immunity. - : Springer Nature. - 1466-4879 .- 1476-5470. ; 22:3, s. 194-202
  • Tidskriftsartikel (refereegranskat)abstract
    • The genetic background of lupus nephritis (LN) has not been completely elucidated. We performed a case-only study of 2886 SLE patients, including 947 (33%) with LN. Renal biopsies were available from 396 patients. The discovery cohort (Sweden, n = 1091) and replication cohort 1 (US, n = 962) were genotyped on the Immunochip and replication cohort 2 (Denmark/Norway, n = 833) on a custom array. Patients with LN, proliferative nephritis, or LN with end-stage renal disease were compared with SLE without nephritis. Six loci were associated with LN (p < 1 × 10−4, NFKBIA, CACNA1S, ITGA1, BANK1, OR2Y, and ACER3) in the discovery cohort. Variants in BANK1 showed the strongest association with LN in replication cohort 1 (p = 9.5 × 10−4) and proliferative nephritis in a meta-analysis of discovery and replication cohort 1. There was a weak association between BANK1 and LN in replication cohort 2 (p = 0.052), and in the meta-analysis of all three cohorts the association was strengthened (p = 2.2 × 10−7). DNA methylation data in 180 LN patients demonstrated methylation quantitative trait loci (meQTL) effects between a CpG site and BANK1 variants. To conclude, we describe genetic variations in BANK1 associated with LN and evidence for genetic regulation of DNA methylation within the BANK1 locus. This indicates a role for BANK1 in LN pathogenesis.
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4.
  • Hedenstedt, Anna, et al. (författare)
  • B cell polygenic risk scores associate with anti-dsDNA antibodies and nephritis in systemic lupus erythematosus.
  • 2023
  • Ingår i: Lupus science & medicine. - : BMJ Publishing Group Ltd. - 2053-8790. ; 10:2
  • Tidskriftsartikel (refereegranskat)abstract
    • B cell function and autoantibodies are important in SLE pathogenesis. In this work, we aimed to investigate the impact of cumulative SLE B cell genetics on SLE subphenotype and autoantibody profile.Female patients with SLE (n=1248) and healthy controls (n=400) were genotyped using Illumina's Global Screening Array. Two polygenic risk scores (PRSs), one representing B cell genes and the other B cell activation genes, were calculated for each individual using risk loci for SLE in genes assigned to B cell-related pathways according to the Kyoto Encyclopedia of Genes and Genomes, Gene Ontology and Reactome Databases.Double-stranded DNA (dsDNA) antibodies were more prevalent among patients with a high compared with a low SLE B cell PRS (OR 1.47 (1.07 to 2.01), p=0.018), and effect sizes were augmented in patients with human leucocyte antigen (HLA) risk haplotypes HLA-DRB1*03:01 and HLA-DRB1*15:01 (DRB1*03/15 -/- (OR 0.99 (0.56 to 1.77), p=0.98; DRB1*03/15 +/- or -/+ (OR 1.64 (1.06 to 2.54), p=0.028; and DRB1*03/15 +/+ (OR 4.47 (1.21 to 16.47), p=0.024). Further, a high compared with a low B cell PRS was associated with low complement levels in DRB1*03/15 +/+ patients (OR 3.92 (1.22 to 12.64), p=0.022). The prevalence of lupus nephritis (LN) was higher in patients with a B cell activation PRS above the third quartile compared with patients below (OR 1.32 (1.00 to 1.74), p=0.048).High genetic burden related to B cell function is associated with dsDNA antibody development and LN. Assessing B cell PRSs may be important in order to determine immunological pathways influencing SLE and to predict clinical phenotype.
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5.
  • Lerang, K., et al. (författare)
  • Mortality and years of potential life loss in systemic lupus erythematosus: a population-based cohort study
  • 2014
  • Ingår i: Lupus. - : SAGE Publications. - 0961-2033 .- 1477-0962. ; 23:14, s. 1546-1552
  • Tidskriftsartikel (refereegranskat)abstract
    • Multiple sources were used to identify 325 systemic lupus erythematosus (SLE) patients within the city of Oslo during 1999-2009 who met >= 4 of the American College of Rheumatology (ACR) criteria. The survival, standard mortality rate (SMR), years of potential life loss before 60 years of age (YPLL60) and causes of death of these patients were examined and compared to a matched control population. Only inception cases (127) were studied in the calculation of survival. The analysis includes underlying, immediate and contributing causes of death. The five-and 10-year survival was 95% and 90%, respectively, which was significantly reduced when compared to the general population. A total of 50 SLE patients died during the study period. Overall SMR was 3.0 (95% confidence interval (CI) 2.2-3.8) with the highest SMR found for female patients aged 16-39 years old. SLE patients had a 10 times higher rate of YPLL60 compared to the control group. YPLL emphasizes active disease and reduces the importance of cancer as a cause of death in SLE. This study demonstrates that YPLL gives additional and useful information for the prognosis of SLE, supplementing traditional methods of measuring mortality.
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6.
  • Reid, Sarah, et al. (författare)
  • From genetic predisposition to clinical outcome in systemic lupus erythematosus : construction and validation of sub-phenotype-specific genetic risk scores
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • ObjectiveThis study aimed to link known genetic risk factors for systemic lupus erythematosus (SLE) with specific clinical manifestations of the disease, in both a large biobank population and in a clinical cohort of patients with SLE.MethodsScandinavian patients with SLE (n=1487) who fulfilled ≥4 ACR-82/ACR-97/SLICC-2012 classification criteria, were genotyped using the Immunochip or Global Screening array (Illumina). Clinical data was collected from medical records. Summary statistics for 57 established SLE risk SNPs (p<5×10-8 in the European population) with a validated cumulative effect on disease severity in SLE, was retrieved for 30 FinnGen datasets covering manifestations relevant for SLE. Mendelian randomization (MR) analysis was performed using the inverse variance weighed method. Nine datasets were selected for construction of standardized genetic risk scores (GRSs), which were validated in the clinical cohort using gender- and disease duration-adjusted logistic regression.ResultsIn the FinnGen biobank, the cumulative effect of the 57 SLE risk SNPs was associated with an increased risk of rosacea, OR 1.09 (1.03–1.16), polyarthropathies, OR 1.10 (1.06–1.14), pleural effusions, OR 1.09 (1.04–1.14)) and hemolytic anemia, OR 1.32 (1.10–1.58). In the clinical cohort, the GRSs generated from the FinnGen datasets were associated with their corresponding manifestation for arthritis, OR 1.15 (1.02– 1.31), renal disorder, OR 1.15 (1.04–1.29), neurologic disorder, OR 1.24 (1.04–1.47), hematologic disorder, OR 1.12 (1.00–1.24), and immunologic disorder, OR 1.37 (1.22–1.56).ConclusionBy considering associations of SLE risk SNPs with SLE-like manifestations in the FinnGen biobank, construction and validation of GRSs for five of the eleven ACR-82 criteria was possible. The findings may facilitate personalized risk prediction and targeted intervention strategies for patients with SLE.
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7.
  • Reid, Sarah, et al. (författare)
  • Interaction between the STAT4 rs11889341(T) risk allele and smoking confers increased risk of myocardial infarction and nephritis in patients with systemic lupus erythematosus
  • 2021
  • Ingår i: Annals of the Rheumatic Diseases. - : BMJ. - 0003-4967 .- 1468-2060. ; 80:9, s. 1183-1189
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: To investigate how genetics influence the risk of smoking-related systemic lupus erythematosus (SLE) manifestations. Methods: Patients with SLE (ndiscovery cohort=776, nreplication cohort=836) were genotyped using the 200K Immunochip single nucleotide polymorphisms (SNP) Array (Illumina) and a custom array. Sixty SNPs with SLE association (p<5.0×10-8) were analysed. Signal transducer and activator of transcription 4 (STAT4) activation was assessed in in vitro stimulated peripheral blood mononuclear cells from healthy controls (n=45). Results: In the discovery cohort, smoking was associated with myocardial infarction (MI) (OR 1.96 (95% CI 1.09 to 3.55)), with a greater effect in patients carrying any rs11889341 STAT4 risk allele (OR 2.72 (95% CI 1.24 to 6.00)) or two risk alleles (OR 8.27 (95% CI 1.48 to 46.27)). Smokers carrying the risk allele also displayed an increased risk of nephritis (OR 1.47 (95% CI 1.06 to 2.03)). In the replication cohort, the high risk of MI in smokers carrying the risk allele and the association between the STAT4 risk allele and nephritis in smokers were confirmed (OR 6.19 (95% CI 1.29 to 29.79) and 1.84 (95% CI 1.05 to 3.29), respectively). The interaction between smoking and the STAT4 risk allele resulted in further increase in the risk of MI (OR 2.14 (95% CI 1.01 to 4.62)) and nephritis (OR 1.53 (95% CI 1.08 to 2.17)), with 54% (MI) and 34% (nephritis) of the risk attributable to the interaction. Levels of interleukin-12-induced phosphorylation of STAT4 in CD8+ T cells were higher in smokers than in non-smokers (mean geometric fluorescence intensity 1063 vs 565, p=0.0063). Lastly, the IL12A rs564799 risk allele displayed association with MI in both cohorts (OR 1.53 (95% CI 1.01 to 2.31) and 2.15 (95% CI 1.08 to 4.26), respectively). Conclusions: Smoking in the presence of the STAT4 risk gene variant appears to increase the risk of MI and nephritis in SLE. Our results also highlight the role of the IL12-STAT4 pathway in SLE-cardiovascular morbidity.
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8.
  • Sandling, Johanna K., et al. (författare)
  • Molecular pathways in patients with systemic lupus erythematosus revealed by gene-centred DNA sequencing
  • 2021
  • Ingår i: Annals of the Rheumatic Diseases. - : BMJ. - 0003-4967 .- 1468-2060. ; 80:1, s. 109-117
  • Tidskriftsartikel (refereegranskat)abstract
    • Objectives: Systemic lupus erythematosus (SLE) is an autoimmune disease with extensive heterogeneity in disease presentation between patients, which is likely due to an underlying molecular diversity. Here, we aimed at elucidating the genetic aetiology of SLE from the immunity pathway level to the single variant level, and stratify patients with SLE into distinguishable molecular subgroups, which could inform treatment choices in SLE. Methods: We undertook a pathway-centred approach, using sequencing of immunological pathway genes. Altogether 1832 candidate genes were analysed in 958 Swedish patients with SLE and 1026 healthy individuals. Aggregate and single variant association testing was performed, and we generated pathway polygenic risk scores (PRS). Results: We identified two main independent pathways involved in SLE susceptibility: T lymphocyte differentiation and innate immunity, characterised by HLA and interferon, respectively. Pathway PRS defined pathways in individual patients, who on average were positive for seven pathways. We found that SLE organ damage was more pronounced in patients positive for the T or B cell receptor signalling pathways. Further, pathway PRS-based clustering allowed stratification of patients into four groups with different risk score profiles. Studying sets of genes with priors for involvement in SLE, we observed an aggregate common variant contribution to SLE at genes previously reported for monogenic SLE as well as at interferonopathy genes. Conclusions: Our results show that pathway risk scores have the potential to stratify patients with SLE beyond clinical manifestations into molecular subsets, which may have implications for clinical follow-up and therapy selection.
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