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Multicenter Study
. 2016 Aug;75(8):1558-66.
doi: 10.1136/annrheumdis-2015-208119. Epub 2015 Sep 11.

Dense genotyping of immune-related loci in idiopathic inflammatory myopathies confirms HLA alleles as the strongest genetic risk factor and suggests different genetic background for major clinical subgroups

Collaborators, Affiliations
Multicenter Study

Dense genotyping of immune-related loci in idiopathic inflammatory myopathies confirms HLA alleles as the strongest genetic risk factor and suggests different genetic background for major clinical subgroups

Simon Rothwell et al. Ann Rheum Dis. 2016 Aug.

Abstract

Objectives: The idiopathic inflammatory myopathies (IIMs) are a heterogeneous group of rare autoimmune diseases characterised by muscle weakness and extramuscular manifestations such as skin rashes and interstitial lung disease. We genotyped 2566 IIM cases of Caucasian descent using the Immunochip; a custom array covering 186 established autoimmune susceptibility loci. The cohort was predominantly comprised of patients with dermatomyositis (DM, n=879), juvenile DM (JDM, n=481), polymyositis (PM, n=931) and inclusion body myositis (n=252) collected from 14 countries through the Myositis Genetics Consortium.

Results: The human leucocyte antigen (HLA) and PTPN22 regions reached genome-wide significance (p<5×10(-8)). Nine regions were associated at a significance level of p<2.25×10(-5), including UBE2L3, CD28 and TRAF6, with evidence of independent effects within STAT4. Analysis of clinical subgroups revealed distinct differences between PM, and DM and JDM. PTPN22 was associated at genome-wide significance with PM, but not DM and JDM, suggesting this effect is driven by PM. Additional suggestive associations including IL18R1 and RGS1 in PM and GSDMB in DM were identified. HLA imputation confirmed that alleles HLA-DRB1*03:01 and HLA-B*08:01 of the 8.1 ancestral haplotype (8.1AH) are most strongly associated with IIM, and provides evidence that amino acids within the HLA, such as HLA-DQB1 position 57 in DM, may explain part of the risk in this locus. Associations with alleles outside the 8.1AH reveal differences between PM, DM and JDM.

Conclusions: This work represents the largest IIM genetic study to date, reveals new insights into the genetic architecture of these rare diseases and suggests different predominating pathophysiology in different clinical subgroups.

Keywords: Dermatomyositis; Gene Polymorphism; Polymyositis.

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Figures

Figure 1
Figure 1. Manhattan plots of the IIM, PM and DM+JDM analyses, with the MHC region removed
The red and blue lines represent genome-wide level of significance (p=5×10−8) and suggestive significance (p=2.25×10−5) respectively. A) Analysis of 2,566 IIM cases and 15,651 controls. B) Analysis of 931PM cases and 15,651 controls. C) Analysis of 1,360 DM+JDM cases and 15,651 controls.
Figure 1
Figure 1. Manhattan plots of the IIM, PM and DM+JDM analyses, with the MHC region removed
The red and blue lines represent genome-wide level of significance (p=5×10−8) and suggestive significance (p=2.25×10−5) respectively. A) Analysis of 2,566 IIM cases and 15,651 controls. B) Analysis of 931PM cases and 15,651 controls. C) Analysis of 1,360 DM+JDM cases and 15,651 controls.
Figure 1
Figure 1. Manhattan plots of the IIM, PM and DM+JDM analyses, with the MHC region removed
The red and blue lines represent genome-wide level of significance (p=5×10−8) and suggestive significance (p=2.25×10−5) respectively. A) Analysis of 2,566 IIM cases and 15,651 controls. B) Analysis of 931PM cases and 15,651 controls. C) Analysis of 1,360 DM+JDM cases and 15,651 controls.

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