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Biology subjects

Anderson, S. H.

Publications and source records attributed to Anderson, S. H..

2 recordsLinked to original sources

Host Phylogeny Shapes Viral Transmission Networks in an Island Ecosystem

Viral transmission between host species underpins disease emergence. Both host phylogenetic relatedness and aspects of their ecology, such as species interactions and predator-prey relationships, may govern cross-species virus transmission and zoonotic risk, although their relative impact is unknown. By characterising the virome of a relatively isolated island ecological community linked through a food web we show that phylogenetic barriers result in distantly related host species sharing fewer viruses. Host ecology had a much smaller influence on overall virome composition. Network analysis revealed that hosts with a high diversity of viruses were more likely to gain new viruses, and that generalist viruses were more likely to infect new hosts. Such a highly connected ecological community heightens the risk of disease emergence, particularly among closely related species. One-Sentence SummarySequencing of an entire island virome reveals that closely related hosts have highly connected virus communities, increasing emergence risk.

microbiology↗

Predictors of intestinal inflammation in asymptomatic first-degree relatives of patients with Crohn’s disease

ObjectiveRelatives of individuals with Crohns disease (CD) carry an increased number of CD-associated genetic variants and are at increased risk of developing the disease. Multiple environmental and genetic factors contribute to this increased risk. We aimed to estimate the utility of genotype, smoking, family history, and a panel of biomarkers to predict risk in asymptomatic first-degree relatives (FDRs) of CD patients.\n\nDesignWe calculated a combined genotype (72 CD-associated genetic markers) and smoking relative risk score in 454 FDRs, and performed capsule endoscopy and collected 22 biomarkers in individuals from the highest and lowest risk quartiles. We then predicted small intestinal inflammation using genetic risk score, smoking status, number of relatives with CD, capsule transit time, and the panel of biomarkers in 124 individuals with complete data. Our principal analysis was to calculate the predictive utility from two machine learning classifiers: an elastic net and a random forest.\n\nResultsBoth classifiers successfully predicted FDRs with intestinal inflammation: elastic net (AUC=0.80, 95% CI: 0.62-0.98), random forest (AUC=0.87, 95% CI: 0.75-1.00). The elastic net selected a 3-predictor solution: CD family history (OR=1.31), genetic risk score (OR=1.14), and faecal calprotectin (OR=1.04). The same 3 variables were among the top 5 most important predictors as ranked by the random forest.\n\nConclusionA readily collectable panel of genetic risk variants, added to family history and faecal calprotectin, predicts those at greatest risk for developing CD with a good degree of accuracy.

epidemiology↗