OPENING UP THE BOX: EXPLORING THE SCALING OUT OF THE GOOD FOOD BOX ACROSS CANADA

The Good Food Box (GFB) program holds a great deal of promise to expand our understanding of Community Food Security (CFS). CFS represents a vision for solving hunger and other problems with the food system through an integrated approach that improves access to good and appropriate food for all while at the same time building community, strengthening local agricultural economies, and maximizing social justice. The GFB, one type of CFS program, is a community-based initiative found across Canada that provides a box of healthy food to customers at near wholesale prices; it has the potential to increase access to healthy food, develop alternative distribution channels, link producers more closely with consumers, build community connections, and more. Yet despite the fact that over 50 unique GFB programs exist across Canada, little research has been done on how these myriad programs are structured and function, how this program model has spread to and been adapted by communities across Canada, and how individual programs operate while balancing multiple goals and priorities. This paper, based on qualitative interviews with managers at 21 GFB programs across Canada, explores the diversity of GFB programs in Canada, and how these programs balance multiple priorities along with day-to-day logistical constraints. GFB programs functioning across Canada have diverse goals, tensions sometimes arise when balancing multiple goals, and programs have found various ways to resolve these tensions. Moreover, GFB programs are educating and empowering people in their communities, as well as networking and learning among themselves. This is one of the first studies describing the breadth of GFB programs across Canada, and some of the findings have not been identified in previous scholarship. I describe the variety of program structures, the main priorities and goals that the programs identify, and some of the tensions and innovations that arise when working to balance the multiple goals and dimensions of CFS. I also discuss how programs communicate and learn from each other, and how the GFB in Canada can help us understand the CFS movement more generally

Exome-wide association study to identify rare variants influencing COVID-19 outcomes : Results from the Host Genetics Initiative

Publisher Copyright: Copyright: © 2022 Butler-Laporte et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75–10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.Peer reviewe

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types