scholarly journals Genetic architecture distinguishes systemic juvenile idiopathic arthritis from other forms of juvenile idiopathic arthritis: clinical and therapeutic implications

2016 ◽  
Vol 76 (5) ◽  
pp. 906-913 ◽  
Author(s):  
Michael J Ombrello ◽  
Victoria L Arthur ◽  
Elaine F Remmers ◽  
Anne Hinks ◽  
Ioanna Tachmazidou ◽  
...  
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Genetic Risk ◽  
Genetic Architecture ◽  
Systemic Juvenile Idiopathic Arthritis ◽  
Disease Process ◽  
Chromosome 1 ◽  
Childhood Arthritis ◽  
Genome Wide ◽  
A Genome ◽  
Shared Genetic

ObjectivesJuvenile idiopathic arthritis (JIA) is a heterogeneous group of conditions unified by the presence of chronic childhood arthritis without an identifiable cause. Systemic JIA (sJIA) is a rare form of JIA characterised by systemic inflammation. sJIA is distinguished from other forms of JIA by unique clinical features and treatment responses that are similar to autoinflammatory diseases. However, approximately half of children with sJIA develop destructive, long-standing arthritis that appears similar to other forms of JIA. Using genomic approaches, we sought to gain novel insights into the pathophysiology of sJIA and its relationship with other forms of JIA.MethodsWe performed a genome-wide association study of 770 children with sJIA collected in nine countries by the International Childhood Arthritis Genetics Consortium. Single nucleotide polymorphisms were tested for association with sJIA. Weighted genetic risk scores were used to compare the genetic architecture of sJIA with other JIA subtypes.ResultsThe major histocompatibility complex locus and a locus on chromosome 1 each showed association with sJIA exceeding the threshold for genome-wide significance, while 23 other novel loci were suggestive of association with sJIA. Using a combination of genetic and statistical approaches, we found no evidence of shared genetic architecture between sJIA and other common JIA subtypes.ConclusionsThe lack of shared genetic risk factors between sJIA and other JIA subtypes supports the hypothesis that sJIA is a unique disease process and argues for a different classification framework. Research to improve sJIA therapy should target its unique genetics and specific pathophysiological pathways.

scholarly journals Shared genetic risk between migraine and coronary artery disease: A genome-wide analysis of common variants

PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0185663 ◽  
Author(s):  
Bendik S. Winsvold ◽  
Francesco Bettella ◽  
Aree Witoelar ◽  
Verneri Anttila ◽  
Padhraig Gormley ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Genetic Risk ◽  
Common Variants ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
A Genome ◽  
Artery Disease ◽  
Shared Genetic

scholarly journals Author Correction: A genome-wide cross-trait analysis from UK Biobank highlights the shared genetic architecture of asthma and allergic diseases

2018 ◽  
Vol 50 (12) ◽  
pp. 1753-1753 ◽  
Author(s):  
Zhaozhong Zhu ◽  
Phil H. Lee ◽  
Mark D. Chaffin ◽  
Wonil Chung ◽  
Po-Ru Loh ◽  
...  
Keyword(s):  
Genetic Architecture ◽  
Allergic Diseases ◽  
Uk Biobank ◽  
Wide Cross ◽  
Trait Analysis ◽  
Genome Wide ◽  
A Genome ◽  
Shared Genetic

scholarly journals A genome-wide cross-trait analysis from UK Biobank highlights the shared genetic architecture of asthma and allergic diseases

2018 ◽  
Vol 50 (6) ◽  
pp. 857-864 ◽  
Author(s):  
Zhaozhong Zhu ◽  
Phil H. Lee ◽  
Mark D. Chaffin ◽  
Wonil Chung ◽  
Po-Ru Loh ◽  
...  
Keyword(s):  
Genetic Architecture ◽  
Allergic Diseases ◽  
Uk Biobank ◽  
Wide Cross ◽  
Trait Analysis ◽  
Genome Wide ◽  
A Genome ◽  
Shared Genetic

scholarly journals Unravelling the genetic architecture of musical rhythm

2019 ◽  
Author(s):  
Maria Niarchou ◽  
J. Fah Sathirapongsasuti ◽  
Nori Jacoby ◽  
Eamonn Bell ◽  
Evonne McArthur ◽  
...  
Keyword(s):  
Genetic Architecture ◽  
Genome Wide Association Study ◽  
Genetic Associations ◽  
Musical Rhythm ◽  
Genome Wide ◽  
Common Genetic Variants ◽  
A Genome ◽  
Polygenic Scores ◽  
Genome Variations ◽  
Shared Genetic

AbstractWhile timing and rhythm-related phenotypes are heritable, the human genome variations underlying these traits are not yet well-understood. We conducted a genome-wide association study to identify common genetic variants associated with a self-reported musical rhythm phenotype in 606,825 individuals. Rhythm exhibited a highly polygenic architecture with sixty-eight loci reaching genome-wide significance (p<5×10−8) and SNP-based heritability of 13%-16%. Polygenic scores for rhythm predicted the presence of musician-related keywords in the BioVU electronic health record biobank. Genetic associations with rhythm were enriched for genes expressed in brain tissues. Genetic correlation analyses revealed shared genetic architecture with several traits relevant to cognition, emotion, health, and circadian rhythms, paving the way to a better understanding of the neurobiological pathways of musicality.

scholarly journals Association analysis of juvenile idiopathic arthritis genetic susceptibility factors in Estonian patients

2021 ◽  
Author(s):  
Tiit Nikopensius ◽  
Priit Niibo ◽  
Toomas Haller ◽  
Triin Jagomägi ◽  
Ülle Voog-Oras ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Juvenile Idiopathic Arthritis ◽  
Autoimmune Diseases ◽  
Genetic Risk ◽  
Association Studies ◽  
Control Sample ◽  
Case Control ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

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.

scholarly journals Cross-disorder analysis of schizophrenia and 19 immune-mediated diseases identifies shared genetic risk

2019 ◽  
Vol 28 (20) ◽  
pp. 3498-3513 ◽  
Author(s):  
Jennie G Pouget ◽  
Buhm Han ◽  
Yang Wu ◽  
Emmanuel Mignot ◽  
Hanna M Ollila ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ulcerative Colitis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Genetic Risk ◽  
Genetic Risk Factors ◽  
Phenotypic Correlation ◽  
Biliary Cirrhosis ◽  
Genome Wide ◽  
Shared Genetic

Abstract Many immune diseases occur at different rates among people with schizophrenia compared to the general population. Here, we evaluated whether this phenomenon might be explained by shared genetic risk factors. We used data from large genome-wide association studies to compare the genetic architecture of schizophrenia to 19 immune diseases. First, we evaluated the association with schizophrenia of 581 variants previously reported to be associated with immune diseases at genome-wide significance. We identified five variants with potentially pleiotropic effects. While colocalization analyses were inconclusive, functional characterization of these variants provided the strongest evidence for a model in which genetic variation at rs1734907 modulates risk of schizophrenia and Crohn’s disease via altered methylation and expression of EPHB4—a gene whose protein product guides the migration of neuronal axons in the brain and the migration of lymphocytes towards infected cells in the immune system. Next, we investigated genome-wide sharing of common variants between schizophrenia and immune diseases using cross-trait LD score regression. Of the 11 immune diseases with available genome-wide summary statistics, we observed genetic correlation between six immune diseases and schizophrenia: inflammatory bowel disease (rg = 0.12 ± 0.03, P = 2.49 × 10−4), Crohn’s disease (rg = 0.097 ± 0.06, P = 3.27 × 10−3), ulcerative colitis (rg = 0.11 ± 0.04, P = 4.05 × 10–3), primary biliary cirrhosis (rg = 0.13 ± 0.05, P = 3.98 × 10−3), psoriasis (rg = 0.18 ± 0.07, P = 7.78 × 10–3) and systemic lupus erythematosus (rg = 0.13 ± 0.05, P = 3.76 × 10–3). With the exception of ulcerative colitis, the degree and direction of these genetic correlations were consistent with the expected phenotypic correlation based on epidemiological data. Our findings suggest shared genetic risk factors contribute to the epidemiological association of certain immune diseases and schizophrenia.

scholarly journals Methylome-wide analysis reveals epigenetic marks associated with resistance to tuberculosis in HIV-infected individuals from East Africa

2020 ◽  
Author(s):  
Catherine Stein ◽  
Penelope Bencheck ◽  
Jacquelaine Bartlett ◽  
Robert P Igo ◽  
Rafal S Sobota ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Sub Saharan Africa ◽  
Chromosome 1 ◽  
Chromosome 2 ◽  
Chromosome 5 ◽  
Epigenetic Marks ◽  
Genome Wide ◽  
A Genome ◽  
Immunodeficiency Virus ◽  
Sub Saharan

Background: Tuberculosis (TB) is the most deadly infectious disease globally and highly prevalent in the developing world, especially sub-Saharan Africa. Even though a third of humans are exposed to Myocbacterium tuberculosis (Mtb), most infected immunocompetent individuals do not develop active TB. In contrast, for individuals infected with both TB and the human immunodeficiency virus (HIV), the risk of active disease is 10% or more per year. Previously, we identified in a genome-wide association study a region on chromosome 5 that was associated with resistance to TB. This region included epigenetic marks that could influence gene regulation so we hypothesized that HIV-infected individuals exposed to Mtb, who remain disease free, carry epigenetic changes that strongly protect them from active TB. To test this hypothesis, we conducted a methylome-wide study in HIV-infected, TB-exposed cohorts from Uganda and Tanzania. Results: In 221 HIV-infected adults from Uganda and Tanzania, we identified 3 regions of interest that included markers that were differentially methylated between TB cases and LTBI controls, that also included methylation QTLs and associated SNPs: chromosome 1 (RNF220, p=4x10-5), chromosome 2 (between COPS8 and COL6A3 genes, p=2.7x10-5), and chromosome 5 (CEP72, p=1.3x10-5). These methylation results colocalized with associated SNPs, methylation QTLs, and methylation x SNP interaction effects. These markers were in regions with regulatory markers for cells involved in TB immunity and/or lung. Conclusion: Epigenetic regulation is a potential biologic factor underlying resistance to TB in immunocompromised individuals that can act in conjunction with genetic variants.

scholarly journals DIRC3-IGFBP5 is a shared genetic risk locus and therapeutic target for carpal tunnel syndrome and trigger finger

2021 ◽  
Author(s):  
Benjamin Patel ◽  
Sam O. Kleeman ◽  
Drew Neavin ◽  
Joseph Powell ◽  
Georgios Baskozos ◽  
...  
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Genome Wide Association Study ◽  
Trigger Finger ◽  
Eqtl Analysis ◽  
Genome Wide ◽  
Healthy Donors ◽  
A Genome ◽  
Tunnel Syndrome ◽  
Shared Genetic

AbstractTrigger finger (TF) and carpal tunnel syndrome (CTS) are two common non-traumatic hand disorders that frequently co-occur. By identifying TF and CTS cases in UK Biobank (UKB), we confirmed a highly significant phenotypic association between the diseases. To investigate the genetic basis for this association we performed a genome-wide association study (GWAS) including 2,908 TF cases and 436,579 European controls in UKB, identifying five independent loci. Colocalization with CTS summary statistics identified a co-localized locus at DIRC3 (lncRNA), which was replicated in FinnGen and fine-mapped to rs62175241. Single-cell and bulk eQTL analysis in fibroblasts from healthy donors (n=79) and tenosynovium samples from CTS patients (n=77) showed that the disease-protective rs62175241 allele was associated with increased DIRC3 and IGFBP5 expression. IGFBP5 is a secreted antagonist of IGF-1 signaling, and elevated IGF-1 levels were associated with CTS and TF in UKB, thereby implicating IGF-1 as a driver of both diseases.

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