From understanding to action: a juncture-factor framework for advancing social responsiveness in health professions education.

Background: Low- to middle-income countries face critical healthcare challenges. Equipping graduates with social responsiveness, the ability to address community health needs effectively, is essential. Despite its importance, research on integrating social responsiveness principles into medical and pharmacy curricula remains limited.

An assessment of the genomic structural variation landscape in Sub-Saharan African populations.

Structural variants are responsible for a large part of genomic variation between individuals and play a role in both common and rare diseases. Databases cataloguing structural variants notably do not represent the full spectrum of global diversity, particularly missing information from most African populations. To address this representation gap, we analysed 1,091 high-coverage African genomes, 545 of which are public data sets, and 546 which have been analysed for structural variants for the first time.

Performance and accuracy evaluation of reference panels for genotype imputation in sub-Saharan African populations.

Based on evaluations of imputation performed on a genotype dataset consisting of about 11,000 sub-Saharan African (SSA) participants, we show Trans-Omics for Precision Medicine (TOPMed) and the African Genome Resource (AGR) to be currently the best panels for imputing SSA datasets. We report notable differences in the number of single-nucleotide polymorphisms (SNPs) that are imputed by different panels in datasets from East, West, and South Africa. Comparisons with a subset of 95 SSA high-coverage whole-genome sequences (WGSs) show that despite being about 20-fold smaller, the AGR imputed dataset has higher concordance with the WGSs.

Analysis of Structural Variants Previously Associated With ALS in Europeans Highlights Genomic Architectural Differences in Africans.

Background And Objectives: Amyotrophic lateral sclerosis (ALS) is a degenerative condition of the brain and spinal cord in which protein-coding variants in known ALS disease genes explain a minority of sporadic cases. There is a growing interest in the role of noncoding structural variants (SVs) as ALS risk variants or genetic modifiers of ALS phenotype. In small European samples, specific short SV alleles in noncoding regulatory regions of , , and have been reported to be associated with ALS, and several groups have investigated the possible role of / gene copy numbers in ALS susceptibility and clinical severity.

H3AGWAS: a portable workflow for genome wide association studies.

Background: Genome-wide association studies (GWAS) are a powerful method to detect associations between variants and phenotypes. A GWAS requires several complex computations with large data sets, and many steps may need to be repeated with varying parameters. Manual running of these analyses can be tedious, error-prone and hard to reproduce.