Availability of community resources reduces the association among community violence exposure, negative emotionality, and substance use disorders.

Background: Exposure to community violence is associated with increased occurrence of substance use disorders (SUD). The self-medication hypothesis states that heightened negative emotionality may underlie the link between exposure to community violence and SUD. However, it is not well-understood if access to community resources, a broader public health approach, influences the purported psychological mechanisms underlying the link between community violence exposure and SUD.

Considering the interconnected nature of social identities in neuroimaging research.

Considerable heterogeneity exists in the expression of complex human behaviors across the cognitive, personality and mental health domains. It is increasingly evident that individual variability in behavioral expression is substantially affected by sociodemographic factors that often interact with life experiences. Here, we formally address the urgent need to incorporate intersectional identities in neuroimaging studies of behavior, with a focus on research in mental health.

Association of genetically predicted levels of circulating blood lipids with coronary artery disease incidence.

Background And Aims: Estimating the genetic risk of coronary artery disease (CAD) is now possible by aggregating data from genome-wide association studies (GWAS) into polygenic risk scores (PRS). Combining multiple PRS for specific circulating blood lipids could improve risk prediction. Here, we sought to evaluate the performance of PRS derived from CAD and blood lipids GWAS to predict the incidence of CAD.

Prediction of strain level phage-host interactions across the Escherichia genus using only genomic information.

Predicting bacteriophage infection of specific bacterial strains promises advancements in phage therapy and microbial ecology. Whether the dynamics of well-established phage-host model systems generalize to the wide diversity of microbes is currently unknown. Here we show that we could accurately predict the outcomes of phage-bacteria interactions at the strain level in natural isolates from the genus Escherichia using only genomic data (area under the receiver operating characteristic curve (AUROC) of 86%).