Publications by authors named "K F McAllister"

Background: Borderline personality disorder (BPD) is a severe mental disorder that is characterised by a pervasive pattern of instability of interpersonal relationships, self-image, and mood as well as marked impulsivity. BPD has its peak incidence and prevalence from puberty through to emerging adulthood. BPD is a controversial diagnosis in young people.

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Many complex disorders are impacted by the interplay of genetic and environmental factors. In gene-environment interactions (GxE), an individual's genetic and epigenetic makeup impacts the response to environmental exposures. Understanding GxE can impact health at the individual, community, and population levels.

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Investigators conducting human subject research have typically conveyed only clinically actionable results back to individual participants. Shifting scientific culture around viewing participants as partners in research, however, is prompting investigators to consider returning as much data or results as the participant would like, even if they are not clearly actionable. Expanding return of individual results may add value for individual participants and their communities, refine future research questions and methods, build trust, and enhance retention of participants.

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Understanding the complex interplay of genetic and environmental factors in disease etiology and the role of gene-environment interactions (GEIs) across human development stages is important. We review the state of GEI research, including challenges in measuring environmental factors and advantages of GEI analysis in understanding disease mechanisms. We discuss the evolution of GEI studies from candidate gene-environment studies to genome-wide interaction studies (GWISs) and the role of multi-omics in mediating GEI effects.

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Article Synopsis
  • African cities like Abidjan and Johannesburg face rapid urban growth and climate change challenges, leading to increased heat-related health issues.
  • The study aims to map heat risk and exposure, create a predictive heat-health model, and set up an early warning system for heatwaves to protect vulnerable populations.
  • Research methods include gathering health and socioeconomic data, employing advanced statistical and machine learning techniques, and ensuring ethical data management for effective dissemination of findings.
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