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Glioma is the most common malignant primary brain tumors with poor prognosis. Genome wide association studies (GWAS) of glioma in populations with Western European ancestry were completed in the US and UK. However, our previous results strongly suggest the genetic heterogeneity could be important in glioma risk. To systematically investigate glioma risk–associated variants in Chinese population, we performed a multistage GWAS of glioma in the Han Chinese population, with a total of 3,097 glioma cases and 4,362 controls. In addition to confirming two associations reported in other ancestry groups, this study identified one new risk‐associated locus for glioma on chromosome 12p11.23 (rs10842893, pmeta = 2.33x10‐12, STK38L) as well as a promising association at 15q15‐21.1 (rs4774756, pmeta = 6.12x10‐8, RAB27A) in 3,097 glioma cases and 4,362 controls. Our findings demonstrate two novel association between the glioma risk region marked by variant rs10842893 and rs4774756) and glioma risk. These findings may advance the understanding of genetic susceptibility to glioma. What's new? While very few brain tumors are attributed to familial risk factors, the previous identification of inherited genetic variants linked to glioma has raised new questions about the impact of genetics on brain tumor risk. In this genome‐wide association study in a Han Chinese population, two independent genetic variants, one on chromosome 12p11.23 and the second on 15q15‐21.1, were found to be significantly associated with glioma risk. In addition, two risk‐associated variants previously reported in other ancestry groups were also associated with glioma risk in Han Chinese patients. The findings may help advance understanding of genetic susceptibility to glioma. [ABSTRACT FROM AUTHOR]

Sawdust direct gasification using chemical looping with hematite as an oxygen carrier was investigated in a 10 kW th interconnected fluidized bed reactor. This was used to develop a biomass chemical looping gasification combined cycle (BCLGCC) model using Aspen Plus software. A technical analysis of a scaled up, simulated and validated 650 MW power plant using BCLG experimental results and industrial data was conducted. The analysis focused on investigating critical parameters that have a significant effect on syngas quality and quantity, hence optimizing the gasification process to obtain higher energy efficiencies for subsequent power generation. An economic and sustainability assessments comparing BCLGCC with 4 different power generation technologies with and w/o CCS was performed. BCLGCC presents promising economic and environmental results, showing that the efficiencies of the CCS and Non-CCS plants are equal to 36% and 41%, respectively, with a COE (including government renewable energy subsidies) for both CCS and Non-CCS equal to 15.9 ¢/kWh and 12.8 ¢/kWh, both of which are lower than the average COE in the UK (approximately 17.7 ¢/kWh). This highlights the technical and economic potential and feasibility of BCLGCC compared to conventional power generation processes while promoting Bioenergy with Carbon Capture and Storage (BECCS) technology. Image 1 • A reliable BCLGCC simulation process at 650 MW is established and validated. • The entire BCLGCC process is optimized to obtain the optimal power output. • BCLGCC with and w/o CCS present a net efficiency of approximately 36% and 41%. • BCLGCC with and w/o CCS shows a COE of 21.7 ¢/kWh and 18.4 ¢/kWh. • Sustainability assessment of BCLGCC is conducted and compared to other power plants. [ABSTRACT FROM AUTHOR]