A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations.

Background Gene-environment interactions may enhance our understanding of hypertension. Our previous study highlighted the importance of considering psychosocial factors in gene discovery for blood pressure (BP) but was limited in statistical power and population diversity. To address these challenges, we conducted a multi-population genome-wide association study (GWAS) of BP accounting for gene-depressive symptomatology (DEPR) interactions in a larger and more diverse sample.

Enhancing perinatal health patient information through ChatGPT - An accuracy study.

Objectives: To evaluate ChatGPT's accuracy as information source for women and maternity-care workers on "nutrition" and "red flags" in pregnancy.

Methods: Accuracy of ChatGPT-generated recommendations was assessed by a 5-point Likert scale by eight raters for ten indicators per topic in four languages (French, English, German and Dutch). Accuracy and interrater agreement were calculated per topic and language.

Unveiling the Genetic Landscape of Coronary Artery Disease Through Common and Rare Structural Variants.

Background: Genome-wide association studies have identified several hundred susceptibility single nucleotide variants for coronary artery disease (CAD). Despite single nucleotide variant-based genome-wide association studies improving our understanding of the genetics of CAD, the contribution of structural variants (SVs) to the risk of CAD remains largely unclear.

Method And Results: We leveraged SVs detected from high-coverage whole genome sequencing data in a diverse group of participants from the National Heart Lung and Blood Institute's Trans-Omics for Precision Medicine program.

A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies.

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data.

Where is Batho Pele? The perspective of child and adolescent mental health service users in the Western Cape Province of South Africa.

Background: Mental health disorders of children and adolescents represent a key area of concern, yet child and adolescent mental health services (CAMHS) are neglected, especially in low- and middle-income countries. There is a clear need to provide services that are relevant to the needs of service users, but little research to date has explored their needs and experiences of services, or to identify their recommendations for service strengthening. In 1997 the South African Government introduced the "Batho Pele" ('People First') initiative in all public sector services, with the aim of putting the voices of service users at the centre of decision-making of policy development and implementation.