Stories from the forest : an analysis of the discursive framing of forest-based bioeconomy from the perspective of Forest Owners Associations and private forest owners in Sweden

In recent years, the concept of bioeconomy has evolved as an alternative to the fossil-based economy of today, providing a vision of an economy based on renewable resources. In Sweden, the concept has been adopted by dominant stakeholders in the forest industry, where the forest is identified as an important renewable resource and a mean to mitigate carbon dioxide. The aim of this study is to examine the discourse upheld by the major Forest Owners Associations in Sweden and to explore the perspectives of private forest owners. By using Hajer’s argumentative approach, text material from the websites of the FOAs is analyzed together with interviews with eight forest owners. The study finds that the FOAs represents a perspective on the bioeconomy where productive forestry and climate mitigation is in focus while social and environmental aspects are largely neglected. The forest owners are shown to put more emphasis on social and environmental sustainability in their forestry, hence partly rejecting the discourse that the FOAs upholds

Costs and benefits of a mining project in Rönnbäck : a CBA on the social and environmental impacts of mining

This study aims to give an overview of the costs and benefits from establishing a nickel mine in Rönnbäck, in the municipality of Storuman, Sweden. The mining industry is known to have both positive and negative effects on the society. The costs associated with the business include environmental disturbance and interest conflicts from local inhabitants and minority groups. The benefits from a mining project take its expression in terms of profit for the mining company, tax revenue and the creation of job opportunities. By using the transfer method and other CBA studies some of the impacts are examined. The result is a positive net social benefit with a value between 947 125 MSEK and 1 477 032 MSEK for the mining project which indicates that the project would have a beneficial impact on the society. It should be noted that only a few aspects are covered in this essay and that the case need further research

How justice shapes transition governance - a discourse analysis of Swedish policy debates

In both policy-making and academia, the realisation is growing that transitions striving for sustainability have to be just to be socially accepted. This insight has given rise to institutionalised approaches to a "just transition" - but also beyond these, justice is a key challenge in the governance of sustainability transitions. In this paper, we examine how justice arguments are being used in national-level discourses of transition governance in Sweden. Analysing 121 policy-related documents from 2019 to 2021, we found that justice was discursively treated in a way that essentially stifled change. Political actors attempted to trump each other's justice claims rather than to genuinely engage with them. Justice concerns that would not serve re-election, such as solidarity across social boundaries, were almost absent from the material. Based on these findings, we critically explore how justice arguments contribute to politicizing transition governance in particular ways, rendering some policy options impossible

How justice shapes transition governance–a discourse analysis of Swedish policy debates

Published online: 16 February 2023In both policy-making and academia, the realisation is growing that transitions striving for sustainability have to be just to be socially accepted. This insight has given rise to institutionalised approaches to a “just transition”–but also beyond these, justice is a key challenge in the governance of sustainability transitions. In this paper, we examine how justice arguments are being used in national-level discourses of transition governance in Sweden. Analysing 121 policy-related documents from 2019 to 2021, we found that justice was discursively treated in away that essentially stifled change. Political actors attempted to trump each other's justice claims rather than to genuinely engage with them. Justice concerns that would not serve re-election, such as solidarity across social boundaries, were almost absent from the material. Based on these findings, we critically explore how justice arguments contribute to politicizing transition governance in particular ways, rendering some policy options impossible

Identification of ADHD risk genes in extended pedigrees by combining linkage analysis and whole-exome sequencing

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder with a complex genetic background, hampering identification of underlying genetic risk factors. We hypothesized that combining linkage analysis and whole-exome sequencing (WES) in multi-generation pedigrees with multiple affected individuals can point toward novel ADHD genes. Three families with multiple ADHD-affected members (Ntotal = 70) and apparent dominant inheritance pattern were included in this study. Genotyping was performed in 37 family members, and WES was additionally carried out in 10 of those. Linkage analysis was performed using multi-point analysis in Superlink Online SNP 1.1. From prioritized linkage regions with a LOD score ≥ 2, a total of 24 genes harboring rare variants were selected. Those genes were taken forward and were jointly analyzed in gene-set analyses of exome-chip data using the MAGMA software in an independent sample of patients with persistent ADHD and healthy controls (N = 9365). The gene-set including all 24 genes together, and particularly the gene-set from one of the three families (12 genes), were significantly associated with persistent ADHD in this sample. Among the latter, gene-wide analysis for the AAED1 gene reached significance. A rare variant (rs151326868) within AAED1 segregated with ADHD in one of the families. The analytic strategy followed here is an effective approach for identifying novel ADHD risk genes. Additionally, this study suggests that both rare and more frequent variants in multiple genes act together in contributing to ADHD risk, even in individual multi-case families

A unified data infrastructure to support large-scale rare disease research

The Solve-RD project brings together clinicians, scientists, and patient representatives from 51 institutes spanning 15 countries to collaborate on genetically diagnosing ("solving") rare diseases (RDs). The project aims to significantly increase the diagnostic success rate by co-analysing data from thousands of RD cases, including phenotypes, pedigrees, exome/genome sequencing and multi-omics data. Here we report on the data infrastructure devised and created to support this co-analysis. This infrastructure enables users to store, find, connect, and analyse data and metadata in a collaborative manner. Pseudonymised phenotypic and raw experimental data are submitted to the RD-Connect Genome-Phenome Analysis Platform and processed through standardised pipelines. Resulting files and novel produced omics data are sent to the European Genome-phenome Archive, which adds unique file identifiers and provides long-term storage and controlled access services. MOLGENIS "RD3" and Cafe Variome "Discovery Nexus" connect data and metadata and offer discovery services, and secure cloud-based "Sandboxes" support multi-party data analysis. This proven infrastructure design provides a blueprint for other projects that need to analyse large amounts of heterogeneous data.3. Good health and well-bein

Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases.

For the first time in Europe hundreds of rare disease (RD) experts team up to actively share and jointly analyse existing patient's data. Solve-RD is a Horizon 2020-supported EU flagship project bringing together >300 clinicians, scientists, and patient representatives of 51 sites from 15 countries. Solve-RD is built upon a core group of four European Reference Networks (ERNs; ERN-ITHACA, ERN-RND, ERN-Euro NMD, ERN-GENTURIS) which annually see more than 270,000 RD patients with respective pathologies. The main ambition is to solve unsolved rare diseases for which a molecular cause is not yet known. This is achieved through an innovative clinical research environment that introduces novel ways to organise expertise and data. Two major approaches are being pursued (i) massive data re-analysis of >19,000 unsolved rare disease patients and (ii) novel combined -omics approaches. The minimum requirement to be eligible for the analysis activities is an inconclusive exome that can be shared with controlled access. The first preliminary data re-analysis has already diagnosed 255 cases form 8393 exomes/genome datasets. This unprecedented degree of collaboration focused on sharing of data and expertise shall identify many new disease genes and enable diagnosis of many so far undiagnosed patients from all over Europe

Solving unsolved rare neurological diseases-a Solve-RD viewpoint.

Funder: Durch Princess Beatrix Muscle Fund Durch Speeren voor Spieren Muscle FundFunder: University of Tübingen Medical Faculty PATE programFunder: European Reference Network for Rare Neurological Diseases | 739510Funder: European Joint Program on Rare Diseases (EJP-RD COFUND-EJP) | 44140962

Twist exome capture allows for lower average sequence coverage in clinical exome sequencing

Background Exome and genome sequencing are the predominant techniques in the diagnosis and research of genetic disorders. Sufficient, uniform and reproducible/consistent sequence coverage is a main determinant for the sensitivity to detect single-nucleotide (SNVs) and copy number variants (CNVs). Here we compared the ability to obtain comprehensive exome coverage for recent exome capture kits and genome sequencing techniques. Results We compared three different widely used enrichment kits (Agilent SureSelect Human All Exon V5, Agilent SureSelect Human All Exon V7 and Twist Bioscience) as well as short-read and long-read WGS. We show that the Twist exome capture significantly improves complete coverage and coverage uniformity across coding regions compared to other exome capture kits. Twist performance is comparable to that of both short- and long-read whole genome sequencing. Additionally, we show that even at a reduced average coverage of 70× there is only minimal loss in sensitivity for SNV and CNV detection. Conclusion We conclude that exome sequencing with Twist represents a significant improvement and could be performed at lower sequence coverage compared to other exome capture techniques