Publications by authors named "J D Mosley"

Introduction: Chronic wasting disease (CWD) among cervids in Kansas has seen a consistent rise over the years, both in terms of the number of infections and its geographical spread. In this study, we assessed the occupancy patterns of CWD among white-tailed deer and mule deer across the state.

Methods: Using surveillance data collected since 2005, we applied a dynamic patch occupancy model within a Bayesian framework, incorporating various environmental covariates.

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Article Synopsis
  • The study investigates idiopathic short stature (ISS) in children, hypothesizing that a polygenic score for height (PGS) may reveal an underlying heritable predisposition to shorter stature.
  • Out of 534 pediatric participants, 22.1% were diagnosed with ISS, showing slightly lower PGS values compared to those with familial short stature but significantly lower than those with underlying health issues, indicating a greater genetic predisposition to short stature in ISS cases.
  • The findings suggest PGS not only differentiates between ISS and short stature due to diseases but also enhances predictive models for adult height, highlighting its potential clinical usefulness in assessing children with unexplained short stature.
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Objective: Polygenic risk scores (PRS) for diverticular disease must be evaluated in diverse cohorts. We sought to explore shared genetic predisposition across the phenome and to assess risk stratification in individuals genetically similar to European, African and Admixed-American reference samples.

Methods: A 44-variant PRS was applied to the Research Program.

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Background: Greater left ventricular (LV) wall stress is associated with adverse outcomes among patients with prevalent heart failure (HF). Less is known about the association between LV wall stress and incident HF.

Objectives: The purpose of the study was to identify clinical factors associated with wall stress and test the association between wall stress and incident HF.

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Pharmacogenomic Polygenic Risk Scores (PRS) have emerged as a tool to address the polygenic nature of pharmacogenetic phenotypes, increasing the potential to predict drug response. Most pharmacogenomic PRS have been extrapolated from disease-associated variants identified by genome wide association studies (GWAS), although some have begun to utilize genetic variants from pharmacogenomic GWAS. As pharmacogenomic PRS hold the promise of enabling precision medicine, including stratified treatment approaches, it is important to assess the opportunities and challenges presented by the current data.

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