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1.
  • Langefeld, Carl D., et al. (författare)
  • Transancestral mapping and genetic load in systemic lupus erythematosus
  • 2017
  • Ingår i: Nature Communications. - : NATURE PUBLISHING GROUP. - 2041-1723 .- 2041-1723. ; 8
  • Tidskriftsartikel (refereegranskat)abstract
    • Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify 58 distinct non-HLA regions in EA, 9 in AA and 16 in HA (similar to 50% of these regions have multiple independent associations); these include 24 novel SLE regions (P amp;lt; 5 x 10(-8)), refined association signals in established regions, extended associations to additional ancestries, and a disentangled complex HLA multigenic effect. The risk allele count (genetic load) exhibits an accelerating pattern of SLE risk, leading us to posit a cumulative hit hypothesis for autoimmune disease. Comparing results across the three ancestries identifies both ancestry-dependent and ancestry-independent contributions to SLE risk. Our results are consistent with the unique and complex histories of the populations sampled, and collectively help clarify the genetic architecture and ethnic disparities in SLE.
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2.
  • Wang, C., et al. (författare)
  • Contribution of IKBKE and IFIH1 gene variants to SLE susceptibility
  • 2013
  • Ingår i: Genes and Immunity. - : Nature Publishing Group. - 1476-5470 .- 1466-4879. ; 14:4, s. 217-222
  • Tidskriftsartikel (refereegranskat)abstract
    • The type I interferon system genes IKBKE and IFIH1 are associated with the risk of systemic lupus erythematosus (SLE). To identify the sequence variants that are able to account for the disease association, we resequenced the genes IKBKE and IFIH1. Eighty-six single-nucleotide variants (SNVs) with potentially functional effect or differences in allele frequencies between patients and controls determined by sequencing were further genotyped in 1140 SLE patients and 2060 controls. In addition, 108 imputed sequence variants in IKBKE and IFIH1 were included in the association analysis. Ten IKBKE SNVs and three IFIH1 SNVs were associated with SLE. The SNVs rs1539241 and rs12142086 tagged two independent association signals in IKBKE, and the haplotype carrying their risk alleles showed an odds ratio of 1.68 (P-value = 1.0 x 10(-5)). The risk allele of rs12142086 affects the binding of splicing factor 1 in vitro and could thus influence its transcriptional regulatory function. Two independent association signals were also detected in IFIH1, which were tagged by a low-frequency SNV rs78456138 and a missense SNV rs3747517. Their joint effect is protective against SLE (odds ratio = 0.56; P-value = 6.6 x 10(-3)). In conclusion, we have identified new SLE-associated sequence variants in IKBKE and IFIH1, and proposed functional hypotheses for the association signals.
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3.
  • Franks, P. W., et al. (författare)
  • Technological readiness and implementation of genomic-driven precision medicine for complex diseases
  • 2021
  • Ingår i: Journal of Internal Medicine. - : John Wiley & Sons. - 0954-6820 .- 1365-2796. ; 290:3, s. 602-620
  • Forskningsöversikt (refereegranskat)abstract
    • The fields of human genetics and genomics have generated considerable knowledge about the mechanistic basis of many diseases. Genomic approaches to diagnosis, prognostication, prevention and treatment - genomic-driven precision medicine (GDPM) - may help optimize medical practice. Here, we provide a comprehensive review of GDPM of complex diseases across major medical specialties. We focus on technological readiness: how rapidly a test can be implemented into health care. Although these areas of medicine are diverse, key similarities exist across almost all areas. Many medical areas have, within their standards of care, at least one GDPM test for a genetic variant of strong effect that aids the identification/diagnosis of a more homogeneous subset within a larger disease group or identifies a subset with different therapeutic requirements. However, for almost all complex diseases, the majority of patients do not carry established single-gene mutations with large effects. Thus, research is underway that seeks to determine the polygenic basis of many complex diseases. Nevertheless, most complex diseases are caused by the interplay of genetic, behavioural and environmental risk factors, which will likely necessitate models for prediction and diagnosis that incorporate genetic and non-genetic data.
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6.
  • Eriksson, D, et al. (författare)
  • Extended exome sequencing identifies BACH2 as a novel major risk locus for Addison's disease
  • 2016
  • Ingår i: Journal of Internal Medicine. - : Wiley: 12 months. - 0954-6820 .- 1365-2796. ; 286:6, s. 595-608
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Autoimmune disease is one of the leading causes of morbidity and mortality worldwide. In Addison's disease, the adrenal glands are targeted by destructive autoimmunity. Despite being the most common cause of primary adrenal failure, little is known about its aetiology.METHODS: To understand the genetic background of Addison's disease, we utilized the extensively characterized patients of the Swedish Addison Registry. We developed an extended exome capture array comprising a selected set of 1853 genes and their potential regulatory elements, for the purpose of sequencing 479 patients with Addison's disease and 1394 controls.RESULTS: We identified BACH2 (rs62408233-A, OR = 2.01 (1.71-2.37), P = 1.66 × 10(-15) , MAF 0.46/0.29 in cases/controls) as a novel gene associated with Addison's disease development. We also confirmed the previously known associations with the HLA complex.CONCLUSION: Whilst BACH2 has been previously reported to associate with organ-specific autoimmune diseases co-inherited with Addison's disease, we have identified BACH2 as a major risk locus in Addison's disease, independent of concomitant autoimmune diseases. Our results may enable future research towards preventive disease treatment.
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7.
  • Folkersen, Lasse, et al. (författare)
  • Integration of known DNA, RNA and protein biomarkers provides prediction of anti-TNF response in rheumatoid arthritis : results from the COMBINE study.
  • 2016
  • Ingår i: Molecular medicine (Cambridge, Mass. Print). - 1076-1551 .- 1528-3658. ; 22, s. 322-328
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE: In rheumatoid arthritis (RA) several recent efforts have sought to discover means of predicting which patients would benefit from treatment. However, results have been discrepant with few successful replications. Our objective was to build a biobank with DNA, RNA and protein measurements to test the claim that the current state-of-the-art precision medicine will benefit RA patients.METHODS: We collected 451 blood samples from 61 healthy individuals and 185 RA patients initiating treatment, before treatment initiation and at a 3 month follow-up time. All samples were subjected to high-throughput RNA sequencing, DNA genotyping, extensive proteomics and flow cytometry measurements, as well as comprehensive clinical phenotyping. Literature review identified 2 proteins, 52 single-nucleotide polymorphisms (SNPs) and 72 gene-expression biomarkers that had previously been proposed as predictors of TNF inhibitor response (∆DAS28-CRP).RESULTS: From these published TNFi biomarkers we found that 2 protein, 2 SNP and 8 mRNA biomarkers could be replicated in the 59 TNF initiating patients. Combining these replicated biomarkers into a single signature we found that we could explain 51% of the variation in ∆DAS28-CRP. This corresponds to a sensitivity of 0.73 and specificity of 0.78 for the prediction of three month ∆DAS28-CRP better than -1.2.CONCLUSIONS: The COMBINE biobank is currently the largest collection of multi-omics data from RA patients with high potential for discovery and replication. Taking advantage of this we surveyed the current state-of-the-art of drug-response stratification in RA, and identified a small set of previously published biomarkers available in peripheral blood which predicts clinical response to TNF blockade in this independent cohort.
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10.
  • Nordmark, Gunnel, et al. (författare)
  • Additive effects of the major risk alleles of IRF5 and STAT4 in primary Sjögren's syndrome
  • 2009
  • Ingår i: Genes and Immunity. - : Nature Publishing Group: Open Access Hybrid Model Option B. - 1466-4879 .- 1476-5470. ; 10:1, s. 68-76
  • Tidskriftsartikel (refereegranskat)abstract
    • Primary Sjögren's syndrome (SS) shares many features with systemic lupus erythematosus (SLE). Here we investigated the association of the three major polymorphisms in IRF5 and STAT4 found to be associated with SLE, in patients from Sweden and Norway with primary SS. These polymorphisms are a 5-bp CGGGG indel in the promoter of IRF5, the single nucleotide polymorphism (SNP) rs10488631 downstream of IRF5 and the STAT4 SNP rs7582694, which tags the major risk haplotype of STAT4. We observed strong signals for association between all three polymorphisms and primary SS, with odds ratios (ORs) >1.4 and P-values <0.01. We also found a strong additive effect of the three risk alleles of IRF5 and STAT4 with an overall significance between the number of risk alleles and primary SS of P=2.5 × 10−9. The OR for primary SS increased in an additive manner, with an average increase in OR of 1.78. For carriers of two risk alleles, the OR for primary SS is 1.43, whereas carriers of five risk alleles have an OR of 6.78. IRF5 and STAT4 are components of the type I IFN system, and our findings emphasize the importance of this system in the etiopathogenesis of primary SS.
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