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- Falk, Johan, et al.
(författare)
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Exponential Roadmap: Scaling 36 Solutions to Halve Emissions by 2030
- 2019
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The 2019 Exponential Roadmap focuses on moving from incremental to exponential climate action in the next decade. It presents 36 economically- viable solutions to cut global greenhouse gas emissions 50% by 2030 and the strategies to scale this transformation. The roadmap is consistent with the Paris Agreement’s goal to keep global average temperature “well below 2°C” and aiming for 1.5°C above pre- industrial levels. The 2019 roadmap is the second in the series. Each new roadmap updates solutions that have proven potential to scale and charts progress towards exponential scaling. The roadmap, based on the carbon law (see box) is a collaboration between academia, business and civil society. The roadmap is complemented with a high-ambition narrative, Meeting the 1.5°C Ambition, that presents the case why holding global average temperature increase to just 1.5°C above pre-industrial levels is important. Since the first roadmap, the Intergovernmental Panel on Climate Change (IPCC) published its special report on 1.5°C. The report concluded that the economic and humanitarian risks of a 2°C world are significantly higher than 1.5°C. The remaining emissions budget for 1.5°C is small, and will be exceeded within ten to fifteen years at current emission rates. The window of feasibility is closing rapidly. The global economic benefit of a low-carbon future is estimated at US$26 trillion by 2030 compared with staying on the current high-carbon pathway. The scale of transformation – halving emissions by 2030 – is unprecedented but the speed is not. Some cities and companies can transform significantly faster. Developed nations with significant historic emissions have a responsibility to reduce emissions faster. Greenhouse gas emissions, and the solutions to reduce them, are grouped by six sectors: energy, industry, transport, buildings, food consumption, nature-based solutions (sources and sinks). Meeting the 1.5°C goal means implementing solutions in parallel across all sectors. The solutions must scale exponentially. The roadmap identifies four levers required to scale the transformation as well as necessary actions for each: policy, climate leadership and movements, finance and exponential technology. Implementation must be fair and just or risk deep resistance.
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| 2. |
- Yang, Yaohua, et al.
(författare)
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Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk
- 2019
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Ingår i: Cancer Research. - : AMER ASSOC CANCER RESEARCH. - 0008-5472 .- 1538-7445. ; 79:3, s. 505-517
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Tidskriftsartikel (refereegranskat)abstract
- DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P < 7.94 x 10(-7). Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. Significance: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.
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