27 research outputs found

    ‘What about the coffee break?’: Designing virtual conference spaces for conviviality

    Get PDF
    Geography, like many other disciplines, is reckoning with the carbon intensity of its practices and rethinking how activities such as annual meetings are held. The Climate Action Task Force of the American Association of Geographers (AAG), for example, was set up in 2019 and seeks to transform the annual conference in light of environmental justice concerns. Mirroring shifts it geographic practice across the globe, these efforts point to a need to understand how new opportunities for knowledge production such as online events can operate effectively. In this article, we offer suggestions for best practice in virtual spaces arising from our Material Life of Time conference held in March 2021, a two day global event that ran synchronously across 15 time zones. Given concerns about lack of opportunities for informal exchanges at virtual conferences, or the “coffee break problem”, we designed the event to focus particularly on opportunities for conviviality. This was accomplished through a focus on three key design issues: the spatial, the temporal and the social. We review previous work on the benefits and drawbacks of synchronous and asynchronous online conference methods and the kinds of geographic communities they might support. We then describe our design approach and reflect on its effectiveness via a variety of feedback materials. We show that our design enabled high delegate satisfaction, a sense of conviviality, and strong connections with new colleagues. However we also discuss the problems with attendance levels and external commitments which hampered shared time together. We thus call for collective efforts to support the ‘event time’ of online meetings, rather than expectations to fit them around everyday tasks. Even so, our results suggest that synchronous online events need not result in geographical exclusions linked to time zone differences, and we outline further recommendations for reworking the spacetimes of the conference

    A CLEC16A variant confers risk for juvenile idiopathic arthritis and anti-cyclic citrullinated peptide antibody negative rheumatoid arthritis

    Get PDF
    Objective Variants in CLEC16A have conferred susceptibility to autoimmune diseases in genome-wide association studies. The present work aimed to investigate the locus' involvements in juvenile idiopathic arthritis (JIA) and further explore the association with rheumatoid arthritis (RA), type 1 diabetes (T1D) and Addison's disease (AD) in the Norwegian population. Methods Three single nucleotide polymorphisms (SNPs) were genotyped in patients with RA (n=809), JIA (n=509), T1D (n=1211) and AD (n=414) and in healthy controls (n=2149). Results All diseases were associated with CLEC16A, but with different SNPs. The intron 22 SNP, rs6498169, was associated with RA (p=0.006) and JIA (p=0.016) and the intron 19 SNPs, rs12708716/rs12917716, with T1D (p=1×10−5) and AD (p=2×10−4). The RA association was confined to the anti-cyclic citrullinated peptide antibody (anti-CCP) negative subgroup (p=2×10−4). Conclusion This is the first report of a CLEC16A association with JIA and a split of the RA association according to anti-CCP status. Different causative variants underlie the rheumatic versus the organ specific diseases

    Lack of association between the chemokine receptor 5 polymorphism CCR5delta32 in rheumatoid arthritis and juvenile idiopathic arthritis

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>The chemokine receptor CCR5 has been detected at elevated levels on synovial T cells, and a 32 bp deletion in the <it>CCR5 </it>gene leads to a non-functional receptor. A negative association between the <it>CCR5Δ32 </it>and rheumatoid arthritis (RA) has been reported, although with conflicting results. In juvenile idiopathic arthritis (JIA), an association with CCR5 was recently reported. The purpose of this study was to investigate if the <it>CCR5Δ32 </it>polymorphism is associated with RA or JIA in Norwegian cohorts.</p> <p>Methods</p> <p>853 RA patients, 524 JIA patients and 658 controls were genotyped for the <it>CCR5Δ32 </it>polymorphism.</p> <p>Results</p> <p>The <it>CCR5Δ32 </it>allele frequency was 11.5% in the controls vs. 10.4% in RA patients (OR = 0.90; <it>P </it>= 0.36) and 9.7% in JIA patients (OR = 0.85; <it>P </it>= 0.20). No decreased homozygosity was observed for <it>CCR5Δ32</it>, as previously suggested.</p> <p>Conclusion</p> <p>Our data do not support an association between the <it>CCR5Δ32 </it>allele and Norwegian RA or JIA patients. Combining our results with those from a recently published meta-analysis still provide evidence for a role for <it>CCR5Δ32 </it>in RA, albeit substantially weaker than the effect first reported.</p

    Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases

    Get PDF
    Genome-wide association studies (GWASs) have identified hundreds of susceptibility genes, including shared associations across clinically distinct autoimmune diseases. We performed an inverse χ(2) meta-analysis across ten pediatric-age-of-onset autoimmune diseases (pAIDs) in a case-control study including more than 6,035 cases and 10,718 shared population-based controls. We identified 27 genome-wide significant loci associated with one or more pAIDs, mapping to in silico-replicated autoimmune-associated genes (including IL2RA) and new candidate loci with established immunoregulatory functions such as ADGRL2, TENM3, ANKRD30A, ADCY7 and CD40LG. The pAID-associated single-nucleotide polymorphisms (SNPs) were functionally enriched for deoxyribonuclease (DNase)-hypersensitivity sites, expression quantitative trait loci (eQTLs), microRNA (miRNA)-binding sites and coding variants. We also identified biologically correlated, pAID-associated candidate gene sets on the basis of immune cell expression profiling and found evidence of genetic sharing. Network and protein-interaction analyses demonstrated converging roles for the signaling pathways of type 1, 2 and 17 helper T cells (TH1, TH2 and TH17), JAK-STAT, interferon and interleukin in multiple autoimmune diseases
    corecore