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- Lederman, J. S., et al.
(author)
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International collaborative follow-up investigation of graduating high school students' understandings of the nature of scientific inquiry : is progress Being made?
- 2021
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In: International Journal of Science Education. - : Informa UK Limited. - 0950-0693 .- 1464-5289. ; 43:7, s. 991-1016
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Journal article (peer-reviewed)abstract
- Understandings of the nature of scientific inquiry (NOSI), as opposed to engaging students in inquiry learning experiences, are included in science education reform documents around the world. However, little is known about what students have learned about NOSI during their pre-college school years. The purpose of this large-scale follow-up international project (i.e. 32 countries and regions, spanning six continents and including 3917 students for the high school sample) was to collect data on what exiting high school students have learned about NOSI. Additionally, the study investigated changes in 12th grade students' NOSI understandings compared to seventh grade (i.e. 20 countries and regions) students' understandings from a prior investigation [Lederman et al. (2019). An international collaborative investigation of beginning seventh grade students' understandings of scientific inquiry: Establishing a baseline. Journal of Research in Science Teaching, 56(4), 486-515. ]. This study documents and discusses graduating high school students' understandings and compares their understandings to seventh grade students' understandings of the same aspects of scientific inquiry for each country. It is important to note that collecting data from each of the 130+ countries globally was not feasible. Similarly, it was not possible to collect data from every region of each country. A concerted effort was made, however, to provide a relatively representative picture of each country and the world.
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- Okada, Yukinori, et al.
(author)
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Genetics of rheumatoid arthritis contributes to biology and drug discovery
- 2014
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In: Nature. - : Nature Publishing Group. - 0028-0836 .- 1476-4687. ; 506:7488, s. 376-381
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Journal article (peer-reviewed)abstract
- A major challenge in human genetics is to devise a systematic strategy to integrate disease-associated variants with diverse genomic and biological data sets to provide insight into disease pathogenesis and guide drug discovery for complex traits such as rheumatoid arthritis (RA)(1). Here we performed a genome-wide association study meta-analysis in a total of >100,000 subjects of European and Asian ancestries (29,880 RA cases and 73,758 controls), by evaluating similar to 10 million single-nucleotide polymorphisms. We discovered 42 novel RA risk loci at a genome-wide level of significance, bringing the total to 101 (refs 2-4). We devised an in silico pipeline using established bioinformatics methods based on functional annotation(5), cis-acting expression quantitative trait loci(6) and pathway analyses(7-9)-as well as novel methods based on genetic overlap with human primary immunodeficiency, haematological cancer somatic mutations and knockout mouse phenotypes-to identify 98 biological candidate genes at these 101 risk loci. We demonstrate that these genes are the targets of approved therapies for RA, and further suggest that drugs approved for other indications may be repurposed for the treatment of RA. Together, this comprehensive genetic study sheds light on fundamental genes, pathways and cell types that contribute to RA pathogenesis, and provides empirical evidence that the genetics of RA can provide important information for drug discovery.
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- Pappas, D. A., et al.
(author)
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Prevalence of cardiovascular disease and major risk factors in patients with rheumatoid arthritis: a multinational cross-sectional study
- 2018
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In: Clinical Rheumatology. - : Springer Science and Business Media LLC. - 0770-3198 .- 1434-9949. ; 37:9, s. 2331-2340
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Journal article (peer-reviewed)abstract
- To compare the prevalence of cardiovascular disease (CVD) and major CVD risk factors among rheumatoid arthritis (RA) patients enrolled in a large US and multinational registry. We compared CVD and CVD risk factor prevalence from 11 countries enrolled in the CORRONA US and CORRONA International registries; patients from the 10 ex-US participating countries were grouped by region (Eastern Europe, Latin America, and India). Unadjusted summary data were presented for demographics and disease characteristics; comparisons for prevalence of CVD risk factors and CVD were age/gender standardized to the age/gender distribution of the US enrolled patients. Overall, 25,987 patients were included in this analysis. Compared to patients from the ex-US regions, US participants had longer disease duration and lower disease activity, yet were more likely to receive a biologic agent. Additionally, CORRONA US participants had the highest body mass index (BMI). Enrolled patients in India had the lowest BMI, were more rarely smokers, and had a low prevalence of hyperlipidemia, hypertension, and prior CVD compared to the US and other ex-US regions. Participants from Eastern Europe had a higher prevalence of hypertension and hyperlipidemia and highest prevalence of all manifestations of CVD. Differences in the prevalence of both CVD and major CVD risk factors were observed across the four regions investigated. Observed differences may be influenced by variations in both non-modifiable/modifiable characteristics of patient populations, and may contribute to heterogeneity on the observed safety of investigational and approved therapies in studies involving RA patients from different origins.
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- Sieberts, SK, et al.
(author)
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Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
- 2016
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In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7, s. 12460-
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Journal article (peer-reviewed)abstract
- Rheumatoid arthritis (RA) affects millions world-wide. While anti-TNF treatment is widely used to reduce disease progression, treatment fails in ∼one-third of patients. No biomarker currently exists that identifies non-responders before treatment. A rigorous community-based assessment of the utility of SNP data for predicting anti-TNF treatment efficacy in RA patients was performed in the context of a DREAM Challenge (http://www.synapse.org/RA_Challenge). An open challenge framework enabled the comparative evaluation of predictions developed by 73 research groups using the most comprehensive available data and covering a wide range of state-of-the-art modelling methodologies. Despite a significant genetic heritability estimate of treatment non-response trait (h2=0.18, P value=0.02), no significant genetic contribution to prediction accuracy is observed. Results formally confirm the expectations of the rheumatology community that SNP information does not significantly improve predictive performance relative to standard clinical traits, thereby justifying a refocusing of future efforts on collection of other data.
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