scholarly journals THU0027 THE ASSOCIATION OF THE RS35677470 DNASE1L3 GENE POLYMORPHISM WITH SLE, RA AND SSC: STRUCTURAL/BIOLOGICAL INSIGHTS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 226.1-227
Author(s):  
M. Zervou ◽  
A. Andreou ◽  
C. Matalliotaki ◽  
T. Niewold ◽  
G. Goulielmos ◽  
...  

Background:Genome-wide association studies (GWAS) have identified hundreds of autoimmune diseases-associated loci so far but much of the heritability of these diseases remains unknown. In an attempt to identify potential causal variants, various studies revealed that the missense variant rs35677470 atDNASE1L3is associated with the development of systemic lupus erythematosus (SLE), rheumatoid arthritis (RA) and systemic sclerosis (SSc), thus exhibiting a pleiotropic effect. Deoxyribonuclease I-like 3 (DNase1L3) is a member of human DNase I family, representing a nuclease that cleaves double-stranded DNA during apoptosis and is involved in the development of autoimmune diseases [1].Objectives:To investigate the role of the rs35677470 polymorphism atDNASE1L3gene leading to the R206C mutation in SLE, RA and SSc [2-3] and the mechanism that may affect the loss of function in the protein structure.Methods:TheDNASE1L3evolution was investigated to define conservation elements in the protein sequence using, BLASTP extended searches [4], TCOFFEE [5] multiple sequence alignments, and MEGAX [6] for phylogenetics analysis. Three-dimensional (3D) homology modeling was used to localize the polymorphism under study. The mutant was constructed by molecular modeling using the structures of homologous DNAses (PDB entries 1atn, 4awn, 3d3w; [7-9]). Molecular mechanics/dynamics studies were applied to validate structural/functional changes caused by the R206C substitution. All figures depicting 3D models were generated using the PyMOL molecular-graphics system V.2.2 (Schrodinger, LLC).Results:The evolutionary analysis shows heavily conserved sequence elements among species indicating structural/functional importance. Structural analysis revealed that the rs35677470 SNP codes for a nonconservative amino acid variation, R206C, disrupts the conserved electrostatic network holding protein secondary structure elements to place. Specifically, the R206 to E170 interaction, part of a salt bridge network stabilizing two a-helices, is being interrupted, thereby affecting the molecular architecture (Fig. 1). Indeed, previous studies on the effect of this SNP in Caucasian populations resulting in a lower level of DNAse1L3 activity are consistent with this observation [10].Figure 1.Ribbon representation of the DNAse1L3 homology model showing the position of the stabilizing salt bridge network (E170- R206, R208- D219). Insert figure shows the R206C mutation. Positively charged R (in blue), negatively charged D,E (in red) and C (in yellow) are shown. Distances are in Angstroms.Conclusion:This study represents a comprehensive evaluation of the shared autoimmune loci ofDNASE1L3(rs35677470), reported to produce an inactive form of DNaseIL3 [10]. The structural analysis, explains the potential role of the produced mutation by modifying the placement of structural elements and consequently introducing disorder in the protein folding and affecting biological function. Altogether, this study contributes to the delineation of the genetic architecture of SLE, RA and SSc.References:[1]Sisirak V et al (2016). Cell 166:88–101[2]Westra HJ et al (2018). Nat Genet. 50:1366-74[3]Acosta-Herrera M et al. (2018). Ann Rheum Dis. 78:311-19[4]Altschul SF et al (1997) Nucleic Acids Res. 25:3389-402.[5]Notredame et al (2000) JMB, 302:205-17[6]Kumar S et al (2018) Mol. Biol. Evol. 35:1547-9[7]Kabsch W et al (1990) Nature 347: 37-44[8]Parciegla et al (2012) Biochemistry 51: 10250[9]Sasaki K et al (1993) Acta Cryst., A 49: 111-2[10]Ueki et al (2009) Clinica Chim. Acta 407:20–4Disclosure of Interests:None declared

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1037.1-1037
Author(s):  
M. Zervou ◽  
A. Andreou ◽  
G. Goulielmos ◽  
E. Eliopoulos

Background:Genome wide association studies (GWAS) have successfully identified novel autoimmune disease-associated loci, with many of them shared by multiple disease-associated pathways but much of the genetics and pathophysiological mechanisms remain still obscure. Considering that most of the potential causal variants are still unknown, many studies showed that the missense variant rs35667974 at interferon induced with helicase C domain 1 (IFIH1) gene is protective for type 1 diabetes (T1D), psoriasis (PS) and psoriatic arthritis (PsA), while it was found to be also associated with ankylosing spondylitis (AS), Crohn’s disease (CD) and ulcerative colitis (UC). IFIH1 gene encodes a cytoplasmic RNA helicase that recognizes viral RNA and is involved in innate immunity through recognition of viral RNA [1].Objectives:To investigate the role of the rare rs35667974 variant of IFIH1 gene, which resides in exon 14 and changes a conserved isoleucine at position #923 to valine in T1D, PS, PsA, AS, CD and UC [2-4] as well as the mechanism that may affect the function in the protein structure.Methods:Evolutionary analysis revealed heavily conserved sequence elements among species, indicating structural/functional importance of the mutation at position #923. In silico mutagenesis and three-dimensional (3D) homology modeling was used to localize the polymorphism under study on the IFIH1 protein. The mutant was constructed using molecular modeling with the program Maestro (Schrodinger, LLC) [5]. Molecular mechanics/dynamics studies were applied to validate structural/functional changes caused by the Ile923V substitution. All figures depicting 3D models were generated using the PyMOL molecular-graphics system V.2.2 [6].Results:Evolutionary and structural analysis revealed that the position of residue Ile923 is located on a protein loop (921-927) directly interacting with mRNA both to the phosphoribose chain and the base pairs. Mutation of Ile to Val at position #923 will directly affect the said interaction with mRNA [7] (Figure 1). Moreover, it has been reported that pre-mRNA or mRNA levels did not correlate with Ile923Val, suggesting that, Ile923Val did not alter the expression of IFIH1 in a major way [7].Figure 1.Structural representation of the interferon-induced helicase C domain-containing protein 1 [Homo sapiens] structure (4GL2 from Protein Data Bank) (in green) bound to the double stranded RNA (in orange-yellow). The location of the mutation (I923V) is highlighted in pink. The proximity of the aminoacid 923 to the nucleotide is apparent.Conclusion:This study represents a comprehensive evaluation of the role of the shared rs35667974 variant of autoimmune locus IFIH1, reported to lead to a loss of function phenotype and, as a consequence, reduced levels of IFIH1 protein and activity that protect against autoimmunity. Structural analysis of rare shared genetic susceptibility or protection loci may provide insight to our understanding of the pathophysiology of autoimmune diseases and the research findings may affect the better management of the diseases under study.References:[1]Nejentsev S et al. (2009). Science 324:387–389.[2]Smyth DJ et al. (2006). Nat Genet. 38: 617–619.[3]Li Y et al. (2010). J Invest Dermatol 130:2768–2772.[4]Ellinghaus D et al. (2016). Nat Genet 48:510–518.[5]Schrödinger Release 2017-1: Maestro, Schrödinger, LLC, New York, NY, 2017.[6]Schrödinger LLC: The PyMOL Molecular Graphics System 2016 version 2.2.[7]Wu B et al. (2013). Cell 152:276-289[8] Downes K et al. (2010). PLoS One 5:e12646.Disclosure of Interests:None declared


2018 ◽  
Author(s):  
Inken Wohlers ◽  
Lars Bertram ◽  
Christina M. Lill

AbstractGenome-wide association studies (GWAS) have identified a large number of genetic risk loci for autoimmune diseases. However, the functional variants underlying these disease associations remain largely unknown. There is evidence that microRNA-mediated regulation may play an important role in this context. Therefore, we assessed whether autoimmune disease loci unfold their effects via altering microRNA expression in relevant immune cells.To this end, we performed microRNA expression quantitative trait loci (eQTL) analyses across 115 GWAS regions associated with 12 autoimmune diseases using next-generation sequencing data of 345 lymphoblastoid cell lines. Statistical analyses included the application and extension of a recently proposed framework (joint likelihood mapping), to microRNA expression data and microRNA target gene enrichment analyses of relevant GWAS data.Overall, only a minority of autoimmune disease risk loci may exert their pathophysiologic effects by altering miRNA expression based on JLIM. However, detailed functional fine-mapping revealed two independent GWAS regions harboring autoimmune disease risk SNPs with significant effects on microRNA expression. These relate to SNPs associated with Crohn’s disease (CD; rs102275) and rheumatoid arthritis (RA; rs968567), which affect the expression of miR-1908-5p (prs102275=1.44e-20, prs968567=2.54e-14). In addition, an independent CD risk SNP, rs3853824, was found to alter the expression of miR-3614-5p (p=5.70e-7). To support these findings, we demonstrate that GWAS signals for RA and CD were enriched in genes predicted to be targeted by both miRNAs (all with p<0.05).In summary, our study points towards a pathophysiological role of miR-1908-5p and miR- 3614-5p in autoimmunity.


Genes ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 609 ◽  
Author(s):  
Amit Sharma ◽  
Tikam Dakal ◽  
Michael Ludwig ◽  
Holger Fröhlich ◽  
Riya Mathur ◽  
...  

Genetic factors play a critical role in the development of human diseases. Recently, several molecular genetic studies have provided multiple lines of evidence for a critical role of genetic factors in the expression of human bladder exstrophy-epispadias complex (BEEC). At this point, ISL1 (ISL LIM homeobox 1) has emerged as the major susceptibility gene for classic bladder exstrophy (CBE), in a multifactorial disease model. Here, GWAS (Genome wide association studies) discovery and replication studies, as well as the re-sequencing of ISL1, identified sequence variants (rs9291768, rs6874700, c.137C > G (p.Ala46Gly)) associated with CBE. Here, we aimed to determine the molecular and functional consequences of these sequence variants and estimate the dependence of ISL1 protein on other predicted candidates. We used: (i) computational analysis of conserved sequence motifs to perform an evolutionary conservation analysis, based on a Bayesian algorithm, and (ii) computational 3D structural modeling. Furthermore, we looked into long non-coding RNAs (lncRNAs) residing within the ISL1 region, aiming to predict their targets. Our analysis suggests that the ISL1 protein specific N-terminal LIM domain (which harbors the variant c.137C > G), limits its transcriptional ability, and might interfere with ISL1-estrogen receptor α interactions. In conclusion, our analysis provides further useful insights about the ISL1 gene, which is involved in the formation of the BEEC, and in the development of the urinary bladder.


2020 ◽  
Vol 20 (10) ◽  
pp. 1597-1610 ◽  
Author(s):  
Taru Aggarwal ◽  
Ridhima Wadhwa ◽  
Riya Gupta ◽  
Keshav Raj Paudel ◽  
Trudi Collet ◽  
...  

Regardless of advances in detection and treatment, breast cancer affects about 1.5 million women all over the world. Since the last decade, genome-wide association studies (GWAS) have been extensively conducted for breast cancer to define the role of miRNA as a tool for diagnosis, prognosis and therapeutics. MicroRNAs are small, non-coding RNAs that are associated with the regulation of key cellular processes such as cell multiplication, differentiation, and death. They cause a disturbance in the cell physiology by interfering directly with the translation and stability of a targeted gene transcript. MicroRNAs (miRNAs) constitute a large family of non-coding RNAs, which regulate target gene expression and protein levels that affect several human diseases and are suggested as the novel markers or therapeutic targets, including breast cancer. MicroRNA (miRNA) alterations are not only associated with metastasis, tumor genesis but also used as biomarkers for breast cancer diagnosis or prognosis. These are explained in detail in the following review. This review will also provide an impetus to study the role of microRNAs in breast cancer.


Author(s):  
Tiit Nikopensius ◽  
Priit Niibo ◽  
Toomas Haller ◽  
Triin Jagomägi ◽  
Ülle Voog-Oras ◽  
...  

Abstract Background Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic condition of childhood. Genetic association studies have revealed several JIA susceptibility loci with the strongest effect size observed in the human leukocyte antigen (HLA) region. Genome-wide association studies have augmented the number of JIA-associated loci, particularly for non-HLA genes. The aim of this study was to identify new associations at non-HLA loci predisposing to the risk of JIA development in Estonian patients. Methods We performed genome-wide association analyses in an entire JIA case–control sample (All-JIA) and in a case–control sample for oligoarticular JIA, the most prevalent JIA subtype. The entire cohort was genotyped using the Illumina HumanOmniExpress BeadChip arrays. After imputation, 16,583,468 variants were analyzed in 263 cases and 6956 controls. Results We demonstrated nominal evidence of association for 12 novel non-HLA loci not previously implicated in JIA predisposition. We replicated known JIA associations in CLEC16A and VCTN1 regions in the oligoarticular JIA sample. The strongest associations in the All-JIA analysis were identified at PRKG1 (P = 2,54 × 10−6), LTBP1 (P = 9,45 × 10−6), and ELMO1 (P = 1,05 × 10−5). In the oligoarticular JIA analysis, the strongest associations were identified at NFIA (P = 5,05 × 10−6), LTBP1 (P = 9,95 × 10−6), MX1 (P = 1,65 × 10−5), and CD200R1 (P = 2,59 × 10−5). Conclusion This study increases the number of known JIA risk loci and provides additional evidence for the existence of overlapping genetic risk loci between JIA and other autoimmune diseases, particularly rheumatoid arthritis. The reported loci are involved in molecular pathways of immunological relevance and likely represent genomic regions that confer susceptibility to JIA in Estonian patients. Key Points• Juvenile idiopathic arthritis (JIA) is the most common childhood rheumatic disease with heterogeneous presentation and genetic predisposition.• Present genome-wide association study for Estonian JIA patients is first of its kind in Northern and Northeastern Europe.• The results of the present study increase the knowledge about JIA risk loci replicating some previously described associations, so adding weight to their relevance and describing novel loci.• The study provides additional evidence for the existence of overlapping genetic risk loci between JIA and other autoimmune diseases, particularly rheumatoid arthritis.


2021 ◽  
pp. annrheumdis-2019-216794
Author(s):  
Akari Suzuki ◽  
Matteo Maurizio Guerrini ◽  
Kazuhiko Yamamoto

For more than a decade, genome-wide association studies have been applied to autoimmune diseases and have expanded our understanding on the pathogeneses. Genetic risk factors associated with diseases and traits are essentially causative. However, elucidation of the biological mechanism of disease from genetic factors is challenging. In fact, it is difficult to identify the causal variant among multiple variants located on the same haplotype or linkage disequilibrium block and thus the responsible biological genes remain elusive. Recently, multiple studies have revealed that the majority of risk variants locate in the non-coding region of the genome and they are the most likely to regulate gene expression such as quantitative trait loci. Enhancer, promoter and long non-coding RNA appear to be the main target mechanisms of the risk variants. In this review, we discuss functional genetics to challenge these puzzles.


Author(s):  
Navnit S. Makaram ◽  
Stuart H. Ralston

Abstract Purpose of Review To provide an overview of the role of genes and loci that predispose to Paget’s disease of bone and related disorders. Recent Findings Studies over the past ten years have seen major advances in knowledge on the role of genetic factors in Paget’s disease of bone (PDB). Genome wide association studies have identified six loci that predispose to the disease whereas family based studies have identified a further eight genes that cause PDB. This brings the total number of genes and loci implicated in PDB to fourteen. Emerging evidence has shown that a number of these genes also predispose to multisystem proteinopathy syndromes where PDB is accompanied by neurodegeneration and myopathy due to the accumulation of abnormal protein aggregates, emphasising the importance of defects in autophagy in the pathogenesis of PDB. Summary Genetic factors play a key role in the pathogenesis of PDB and the studies in this area have identified several genes previously not suspected to play a role in bone metabolism. Genetic testing coupled to targeted therapeutic intervention is being explored as a way of halting disease progression and improving outcome before irreversible skeletal damage has occurred.


Viruses ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 104
Author(s):  
Georges Tarris ◽  
Alexis de Rougemont ◽  
Maëva Charkaoui ◽  
Christophe Michiels ◽  
Laurent Martin ◽  
...  

Inflammatory bowel diseases (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD), is a multifactorial disease in which dietary, genetic, immunological, and microbial factors are at play. The role of enteric viruses in IBD remains only partially explored. To date, epidemiological studies have not fully described the role of enteric viruses in inflammatory flare-ups, especially that of human noroviruses and rotaviruses, which are the main causative agents of viral gastroenteritis. Genome-wide association studies have demonstrated the association between IBD, polymorphisms of the FUT2 and FUT3 genes (which drive the synthesis of histo-blood group antigens), and ligands for norovirus and rotavirus in the intestine. The role of autophagy in defensin-deficient Paneth cells and the perturbations of cytokine secretion in T-helper 1 and T-helper 17 inflammatory pathways following enteric virus infections have been demonstrated as well. Enteric virus interactions with commensal bacteria could play a significant role in the modulation of enteric virus infections in IBD. Based on the currently incomplete knowledge of the complex phenomena underlying IBD pathogenesis, future studies using multi-sampling and data integration combined with new techniques such as human intestinal enteroids could help to decipher the role of enteric viruses in IBD.


Stroke ◽  
2021 ◽  
Author(s):  
Martin Dichgans ◽  
Nathalie Beaufort ◽  
Stephanie Debette ◽  
Christopher D. Anderson

The field of medical and population genetics in stroke is moving at a rapid pace and has led to unanticipated opportunities for discovery and clinical applications. Genome-wide association studies have highlighted the role of specific pathways relevant to etiologically defined subtypes of stroke and to stroke as a whole. They have further offered starting points for the exploration of novel pathways and pharmacological strategies in experimental systems. Mendelian randomization studies continue to provide insights in the causal relationships between exposures and outcomes and have become a useful tool for predicting the efficacy and side effects of drugs. Additional applications that have emerged from recent discoveries include risk prediction based on polygenic risk scores and pharmacogenomics. Among the topics currently moving into focus is the genetics of stroke outcome. While still at its infancy, this field is expected to boost the development of neuroprotective agents. We provide a brief overview on recent progress in these areas.


2021 ◽  
Vol 12 ◽  
Author(s):  
Valeria Orrù ◽  
Maristella Steri ◽  
Francesco Cucca ◽  
Edoardo Fiorillo

In recent years, systematic genome-wide association studies of quantitative immune cell traits, represented by circulating levels of cell subtypes established by flow cytometry, have revealed numerous association signals, a large fraction of which overlap perfectly with genetic signals associated with autoimmune diseases. By identifying further overlaps with association signals influencing gene expression and cell surface protein levels, it has also been possible, in several cases, to identify causal genes and infer candidate proteins affecting immune cell traits linked to autoimmune disease risk. Overall, these results provide a more detailed picture of how genetic variation affects the human immune system and autoimmune disease risk. They also highlight druggable proteins in the pathogenesis of autoimmune diseases; predict the efficacy and side effects of existing therapies; provide new indications for use for some of them; and optimize the research and development of new, more effective and safer treatments for autoimmune diseases. Here we review the genetic-driven approach that couples systematic multi-parametric flow cytometry with high-resolution genetics and transcriptomics to identify endophenotypes of autoimmune diseases for the development of new therapies.


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