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- Evangelou, Evangelos, et al.
(författare)
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A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip
- 2014
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Ingår i: Annals of the Rheumatic Diseases. - : BMJ. - 1468-2060 .- 0003-4967. ; 73:12, s. 2130-2136
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Tidskriftsartikel (refereegranskat)abstract
- Objectives Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects. Methods We performed a two-stage meta-analysis on more than 78 000 participants. In stage 1, we synthesised data from eight GWAS whereas data from 10 centres were used for 'in silico' or 'de novo' replication. Besides the main analysis, a stratified by sex analysis was performed to detect possible sex-specific signals. Meta-analysis was performed using inverse-variance fixed effects models. A random effects approach was also used. Results We accumulated 11 277 cases of radiographic and symptomatic hip OA. We prioritised eight single nucleotide polymorphism (SNPs) for follow-up in the discovery stage (4349 OA cases); five from the combined analysis, two male specific and one female specific. One locus, at 20q13, represented by rs6094710 (minor allele frequency (MAF) 4%) near the NCOA3 (nuclear receptor coactivator 3) gene, reached genome-wide significance level with p=7.9x10(-9) and OR=1.28 (95% CI 1.18 to 1.39) in the combined analysis of discovery (p= 5.6x10(-8)) and follow-up studies (p=7.3x10(-4)). We showed that this gene is expressed in articular cartilage and its expression was significantly reduced in OA-affected cartilage. Moreover, two loci remained suggestive associated; rs5009270 at 7q31 (MAF 30%, p=9.9x10(-7), OR=1.10) and rs3757837 at 7p13 (MAF 6%, p=2.2x10(-6), OR=1.27 in male specific analysis). Conclusions Novel genetic loci for hip OA were found in this meta-analysis of GWAS.
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- Jombart, Thibaut, et al.
(författare)
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OutbreakTools : A new platform for disease outbreak analysis using the R software
- 2014
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Ingår i: Epidemics. - : Elsevier BV. - 1755-4365 .- 1878-0067. ; 7, s. 28-34
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Tidskriftsartikel (refereegranskat)abstract
- The investigation of infectious disease outbreaks relies on the analysis of increasingly complex and diverse data, which offer new prospects for gaining insights into disease transmission processes and informing public health policies. However, the potential of such data can only be harnessed using a number of different, complementary approaches and tools, and a unified platform for the analysis of disease outbreaks is still lacking. In this paper, we present the new R package OutbreakTools, which aims to provide a basis for outbreak data management and analysis in R. OutbreakTools is developed by a community of epidemiologists, statisticians, modellers and bioinformaticians, and implements classes and methods for storing, handling and visualizing outbreak data. It includes real and simulated outbreak datasets. Together with a number of tools for infectious disease epidemiology recently made available in R, OutbreakTools contributes to the emergence of a new, free and open-source platform for the analysis of disease outbreaks.
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- Kloppenburg, Margreet, et al.
(författare)
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Research in hand osteoarthritis: time for reappraisal and demand for new strategies. An opinion paper
- 2007
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Ingår i: Annals of the Rheumatic Diseases. - : BMJ. - 1468-2060 .- 0003-4967. ; 66:9, s. 1157-1161
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Forskningsöversikt (refereegranskat)abstract
- BACKGROUND: Osteoarthritis of the hands is a prevalent musculoskeletal disease with a considerable effect on patients' lives, but knowledge and research results in the field of hand osteoarthritis are limited. Therefore, the Disease Characteristics in Hand OA (DICHOA) initiative was founded in early 2005 with the aim of addressing key issues and facilitating research into hand osteoarthritis. OBJECTIVE: To review and discuss current knowledge on hand osteoarthritis with regard to aetiopathogenesis, diagnostic criteria, biomarkers and clinical outcome measures. METHODS: Recommendations were made based on a literature review. RESULTS: Outcomes of hand osteoarthritis should be explored, including patient perspective on the separate components of disease activity, damage and functioning. All imaging techniques should be cross-validated for hand osteoarthritis with clinical status, including disease activity, function and performance, biomarkers and long-term outcome. New imaging modalities are available and need scoring systems and validation. The role of biomarkers in hand osteoarthritis has to be defined. CONCLUSION: Future research in hand osteoarthritis is warranted.
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