Substance use shortens lifespan, impedes health, and accelerates the biological aging process. We found widespread genetic correlations between alcohol, tobacco, cannabis, and opioid use and use disorders with indices of aging across the lifespan. There was evidence of tobacco and alcohol use and use disorders causally impacting physical, cognitive, and biological aging, with the effects of alcohol being more dependent on quantity of consumption; evidence of reverse causality was scant.
View Article and Find Full Text PDFThe Southeastern Conference (SEC) Nursing Dean's Coalition is a purposeful alliance organized to collaboratively address several challenges that arose during the COVID-19 pandemic. Over the last three years, this strategic team of academic leaders has evolved from a crisis response team to a multidimensional support team, leveraging both individual and collective strengths, to provide several benefits to the dean members, as well as other SEC nursing faculty members, students, and institutions. Participation has grown from the original 12 deans to engage a broader team of associate deans and nurse leaders in faculty development, research, service, and diversity, equity, and inclusion.
View Article and Find Full Text PDFBackground And Hypothesis: Risk for cannabis use and schizophrenia is influenced in part by genetic factors, and there is evidence that genetic risk for schizophrenia is associated with subclinical psychotic-like experiences (PLEs). Few studies to date have examined whether genetic risk for schizophrenia is associated with cannabis-related PLEs.
Study Design: We tested whether measures of cannabis involvement and polygenic risk scores (PRS) for schizophrenia were associated with self-reported cannabis-related experiences in a sample ascertained for alcohol use disorders (AUDs), the Collaborative Study on the Genetics of Alcoholism (COGA).
Opioid addiction (OA) is moderately heritable, yet only rs1799971, the A118G variant in OPRM1, has been identified as a genome-wide significant association with OA and independently replicated. We applied genomic structural equation modeling to conduct a GWAS of the new Genetics of Opioid Addiction Consortium (GENOA) data together with published studies (Psychiatric Genomics Consortium, Million Veteran Program, and Partners Health), comprising 23,367 cases and effective sample size of 88,114 individuals of European ancestry. Genetic correlations among the various OA phenotypes were uniformly high (r > 0.
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