Development of Priority Assistive Product Lists in Three African Countries.

National Assistive Product Lists (APLs) play an important role in improving access to assistive products (APs). Assistive products are critical to enhancing the health, well-being, and quality of life of persons with disabilities and other functional limitations, including those associated with aging. Comparing national APL development across Malawi, Liberia, and Sierra Leone may provide insight into the differences between the resulting national APLs and how to enhance AP service delivery systems.

Heritability of Alzheimer's disease plasma biomarkers: A nuclear twin family design.

Introduction: Alzheimer's disease (AD) is a highly heritable disease (60%-80%). Amyloid beta (Aβ) 42/40, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) are plasma biomarkers for AD. Clinical biomarker research would be served by an understanding of the sources of variance in these markers.

Epigenetic signatures of asthma: a comprehensive study of DNA methylation and clinical markers.

Background: Asthma, a complex respiratory disease, presents with inflammatory symptoms in the lungs, blood, and other tissues. We investigated the relationship between DNA methylation and 35 clinical markers of asthma.

Methods: The Illumina Infinium EPIC v1 methylation array was used to evaluate 742,442 CpGs in whole blood from 319 participants from 94 families.

Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort.

Effective personalized well-being interventions require the ability to predict who will thrive or not, and the understanding of underlying mechanisms. Here, using longitudinal data of a large population cohort (the Netherlands Twin Register, collected 1991-2022), we aim to build machine learning prediction models for adult well-being from the exposome and genome, and identify the most predictive factors ( between 702 and 5874). The specific exposome was captured by parent and self-reports of psychosocial factors from childhood to adulthood, the genome was described by polygenic scores, and the general exposome was captured by linkage of participants' postal codes to objective, registry-based exposures.