Background: The most near-term clinical application of genome-wide association studies in lung cancer is a polygenic risk score (PRS).
Methods: A case-control dataset was generated consisting of 4002 lung cancer cases from the LORD project and 20,010 ethnically matched controls from CARTaGENE. A genome-wide PRS including >1.
Declines in insect pollinators have been linked to a range of causative factors such as disease, loss of habitats, the quality and availability of food, and exposure to pesticides. Here, we analysed an extensive dataset generated from pesticide screening of foraging insects, pollen-nectar stores/beebread, pollen and ingested nectar across three species of bees collected at 128 European sites set in two types of crop. In this paper, we aimed to (i) derive a new index to summarise key aspects of complex pesticide exposure data and (ii) understand the links between pesticide exposures depicted by the different matrices, bee species and apple orchards versus oilseed rape crops.
View Article and Find Full Text PDFis a leading cause of infection in pigs, causing extensive economic losses. In addition, it can also infect wild fauna, and can be responsible for severe infections in humans. Increasing antimicrobial resistance (AMR) has been described in worldwide and most of the AMR genes are carried by mobile genetic elements (MGEs).
View Article and Find Full Text PDFInfectious and parasitic agents (IPAs) and their associated diseases are major environmental stressors that jeopardize bee health, both alone and in interaction with other stressors. Their impact on pollinator communities can be assessed by studying multiple sentinel bee species. Here, we analysed the field exposure of three sentinel managed bee species (Apis mellifera, Bombus terrestris and Osmia bicornis) to 11 IPAs (six RNA viruses, two bacteria, three microsporidia).
View Article and Find Full Text PDFStudying a large number of variables measured on the same observations and organized in blocks - denoted multiblock data - is becoming standard in several domains especially in biology. To explore the relationships between all these variables - at the block- and the variable-level - several exploratory multiblock methods were proposed. However, most of them are only designed for numeric variables.
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