Identification of Novel Associations and Localization of Signals in Idiopathic Inflammatory Myopathies Using Genome-Wide Imputation
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem, Research Support, N.I.H., Intramural
Grantová podpora
21552
Versus Arthritis - United Kingdom
ZIA ES101074
Intramural NIH HHS - United States
085860
Wellcome Trust - United Kingdom
21593
Versus Arthritis - United Kingdom
MR/N003322/1
Medical Research Council - United Kingdom
Wellcome Trust - United Kingdom
PubMed
36580032
PubMed Central
PMC10238560
DOI
10.1002/art.42434
Knihovny.cz E-zdroje
- MeSH
- autoimunitní nemoci * genetika MeSH
- genetická predispozice k nemoci MeSH
- haplotypy MeSH
- lidé MeSH
- myozitida * genetika MeSH
- polymyozitida * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Intramural MeSH
OBJECTIVE: The idiopathic inflammatory myopathies (IIMs) are heterogeneous diseases thought to be initiated by immune activation in genetically predisposed individuals. We imputed variants from the ImmunoChip array using a large reference panel to fine-map associations and identify novel associations in IIM. METHODS: We analyzed 2,565 Caucasian IIM patient samples collected through the Myositis Genetics Consortium (MYOGEN) and 10,260 ethnically matched control samples. We imputed 1,648,116 variants from the ImmunoChip array using the Haplotype Reference Consortium panel and conducted association analysis on IIM and clinical and serologic subgroups. RESULTS: The HLA locus was consistently the most significantly associated region. Four non-HLA regions reached genome-wide significance, SDK2 and LINC00924 (both novel) and STAT4 in the whole IIM cohort, with evidence of independent variants in STAT4, and NAB1 in the polymyositis (PM) subgroup. We also found suggestive evidence of association with loci previously associated with other autoimmune rheumatic diseases (TEC and LTBR). We identified more significant associations than those previously reported in IIM for STAT4 and DGKQ in the total cohort, for NAB1 and FAM167A-BLK loci in PM, and for CCR5 in inclusion body myositis. We found enrichment of variants among DNase I hypersensitivity sites and histone marks associated with active transcription within blood cells. CONCLUSION: We found novel and strong associations in IIM and PM and localized signals to single genes and immune cell types.
Baylor College of Medicine Houston Texas
Department of Internal Medicine and Clinical Immunology Pitié Salpêtrière Hospital Paris France
Department of Neurology Ghent University Ghent Belgium
Department of Pediatrics Duke University Durham North Carolina
Department of Pharmacy and Pharmacology University of Bath Bath UK
Department of Rheumatology and Clinical Immunology University Medical Center Utrecht the Netherlands
Department of Rheumatology and Immunology University Hospital Bern Switzerland
Department of Rheumatology Oslo University Hospital Oslo Norway
Manchester Metropolitan University School of Healthcare Sciences Manchester UK
Rheumatology Unit Department of Medicine University of Padova Padova Italy
The Robert S Boas Center for Genomics and Human Genetics The Feinstein Institute Manhasset New York
Zobrazit více v PubMed
Rothwell S, Cooper RG, Lundberg IE, et al. 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. Ann Rheum Dis 2016;75:1558–66. PubMed PMC
Acosta‐Herrera M, Kerick M, González‐Serna D, et al. Genome‐wide meta‐analysis reveals shared new loci in systemic seropositive rheumatic diseases. Ann Rheum Dis 2019;78:311–9. PubMed PMC
Kochi Y, Kamatani Y, Kondo Y, et al. Splicing variant of WDFY4 augments MDA5 signalling and the risk of clinically amyopathic dermatomyositis. Ann Rheum Dis 2018;77:602–11. PubMed
Sugiura T, Kawaguchi Y, Goto K, et al. Positive association between STAT4 polymorphisms and polymyositis/dermatomyositis in a Japanese population. Ann Rheum Dis 2012;71:1646–50. PubMed
Chen S, Wang Q, Wu Z, et al. Genetic association study of TNFAIP3, IFIH1, IRF5 polymorphisms with polymyositis/dermatomyositis in Chinese Han population. PLoS One 2014;9:e110044. PubMed PMC
Chen S, Wu W, Li J, et al. Single nucleotide polymorphisms in the FAM167A‐BLK gene are associated with polymyositis/dermatomyositis in the Han Chinese population. Immunol Res 2015;62:153–62. PubMed PMC
Bohan A, Peter JB. Polymyositis and dermatomyositis (first of two parts). N Engl J Med 1975;292:344–7. PubMed
Rothwell S, Cooper RG, Lundberg IE, et al. Immune‐array analysis in sporadic inclusion body myositis reveals HLA–DRB1 amino acid heterogeneity across the myositis spectrum. Arthritis Rheumatol 2017;69:1090–9. PubMed PMC
Rothwell S, Chinoy H, Lamb JA, et al. Focused HLA analysis in Caucasians with myositis identifies significant associations with autoantibody subgroups. Ann Rheum Dis 2019;78:996–1002. PubMed PMC
Boughton AP, Welch RP, Flickinger M, et al. LocusZoom.js: interactive and embeddable visualization of genetic association study results. Bioinformatics 2021;37:3017–8. PubMed PMC
Iotchkova V, Ritchie GRS, Geihs M, et al. GARFIELD classifies disease‐relevant genomic features through integration of functional annotations with association signals. Nat Genet 2019;51:343–53. PubMed PMC
Evans DM, Spencer CCA, Pointon JJ, et al. Interaction between ERAP1 and HLA‐B27 in ankylosing spondylitis implicates peptide handling in the mechanism for HLA‐B27 in disease susceptibility [published correction appears in Nat Genet 2011;43:919]. Nat Genet 2011;43:761–7. PubMed PMC
Hinks A, Cobb J, Marion MC, et al. Dense genotyping of immune‐related disease regions identifies 14 new susceptibility loci for juvenile idiopathic arthritis. Nat Genet 2013;45:664–9. PubMed PMC
Okada Y, Wu D, Trynka G, et al. Genetics of rheumatoid arthritis contributes to biology and drug discovery. Nature 2014;506:376–81. PubMed PMC
Bentham J, Morris DL, Cunninghame Graham DS, et al. Genetic association analyses implicate aberrant regulation of innate and adaptive immunity genes in the pathogenesis of systemic lupus erythematosus. Nat Genet 2015;47:1457–64. PubMed PMC
López‐Isac E, Acosta‐Herrera M, Kerick M, et al. GWAS for systemic sclerosis identifies multiple risk loci and highlights fibrotic and vasculopathy pathways. Nat Commun 2019;10:4955. PubMed PMC
Wang YF, Zhang Y, Lin Z, et al. Identification of 38 novel loci for systemic lupus erythematosus and genetic heterogeneity between ancestral groups. Nat Commun 2021;12:772. PubMed PMC
López‐Isac E, Smith SL, Marion MC, et al. Combined genetic analysis of juvenile idiopathic arthritis clinical subtypes identifies novel risk loci, target genes and key regulatory mechanisms. Ann Rheum Dis 2021;80:321–8. PubMed PMC
Ponce‐Gallegos MA, Ramos‐Martínez E, García‐Carmona A, et al. Genetic susceptibility to antisynthetase syndrome associated with single‐nucleotide variants in the IL1B gene that lead variation in IL‐1β serum levels. Front Med (Lusanne) 2020;7:547186. PubMed PMC
Burn GL, Svensson L, Sanchez‐Blanco C, et al. Why is PTPN22 a good candidate susceptibility gene for autoimmune disease? [review]. FEBS Lett 2011;585:3689–98. PubMed