Publications by authors named "Scott Hazelhurst"

Background: Group B Streptococcus (GBS) is a leading cause of neonatal meningitis and sepsis and an important cause of disease in adults. Capsular polysaccharide and protein-based GBS vaccines are currently under development.

Methods: Through national laboratory-based surveillance, invasive GBS isolates were collected from patients of all ages between 2019 and 2020.

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  • Invasive pneumococcal disease (IPD) remains a serious global issue, particularly concerning non-vaccine serotypes, even after the introduction of pneumococcal conjugate vaccines (PCV) in South Africa.
  • The study analyzed over 3,000 IPD genomes from children between 2005-2020, observing a drop in incidence for vaccine-type bacteria in the late-PCV13 period, but some continued to pose a threat.
  • Notably, non-vaccine serotypes showed rising drug resistance and lineage diversity, indicating the need for ongoing genomic surveillance to inform health policies and future vaccine developments.
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Socio-economic status of participants in many public health, epidemiological, and genome-wide association studies is an important trait of interest. It is often used in these studies as a measure of direct interest or as a covariate. The Africa Wits INDEPTH Partnership for Genomic and Environmental Research (AWI-Gen) explores genomic and environmental factors in non-communicable diseases, particularly cardio-metabolic disease.

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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.

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  • This study is the largest genome-wide association study (GWAS) focusing on urinary albumin-to-creatinine ratio (UACR) in Sub-Saharan African (SSA) populations, involving nearly 18,000 participants.
  • Researchers identified two significant genetic loci associated with UACR, one in residents of SSA and another in non-resident individuals of African ancestry.
  • The findings highlight the limited transferability of polygenic scores across different populations, underscoring the importance of diverse genetic studies to understand kidney disease susceptibility in underrepresented groups.
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Population studies are crucial in understanding the complex interplay between the gut microbiome and geographical, lifestyle, genetic, and environmental factors. However, populations from low- and middle-income countries, which represent ~84% of the world population, have been excluded from large-scale gut microbiome research. Here, we present the AWI-Gen 2 Microbiome Project, a cross-sectional gut microbiome study sampling 1,803 women from Burkina Faso, Ghana, Kenya, and South Africa.

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  • * Researchers identified two significant genetic loci associated with urinary albumin-to-creatinine ratio (UACR) — one on chromosome 6 and another on chromosome 11 — while confirming links to previously known regions associated with UACR.
  • * The findings highlight the genetic diversity in SSA populations and the limitations of polygenic scores from European ancestry studies, underscoring the need for more genetic research in diverse groups to better understand chronic kidney disease risk factors.
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Most hypertension-related genome-wide association studies (GWASs) focus on non-African populations, despite hypertension (a major risk factor for cardiovascular disease) being highly prevalent in Africa. The AWI-Gen study GWAS meta-analysis for blood pressure (BP)-related traits (systolic and diastolic BP, pulse pressure, mean-arterial pressure and hypertension) from three sub-Saharan African geographic regions (N = 10,775), identifies two novel genome-wide significant signals (p < 5E-08): systolic BP near P2RY1 (rs77846204; intergenic variant, p = 4.95E-08) and pulse pressure near LINC01256 (rs80141533; intergenic variant, p = 1.

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Objectives: Multimorbidity (MM) is a growing concern linked to poor outcomes and higher healthcare costs. While most MM research targets European ancestry populations, the prevalence and patterns in African ancestry groups remain underexplored. This study aimed to identify and summarise the available literature on MM in populations with African ancestry, on the continent, and in the diaspora.

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Genetic variation in CYP2B6 and CYP2A6 is known to impact interindividual response to antiretrovirals, nicotine, and bupropion, among other drugs. However, the full catalogue of clinically relevant pharmacogenetic variants in these genes is yet to be established, especially across African populations. This study therefore aimed to characterize the star allele (haplotype) distribution in CYP2B6 and CYP2A6 across diverse and understudied sub-Saharan African (SSA) populations.

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is important in the metabolism of clopidogrel and several antidepressants. This study aimed to characterize the distribution of star alleles (haplotypes) across diverse African populations compared with global populations. star alleles and diplotypes were called from high coverage genomes using the StellarPGx pipeline.

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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.

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  • * The AWI-Gen study analyzed blood pressure traits in over 10,000 individuals from sub-Saharan Africa and identified two significant genetic signals linked to systolic and pulse pressure.
  • * Results indicate that existing polygenic risk scores from different ancestries are not very predictive for African populations, highlighting the need for diverse models for better accuracy.
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Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery.

Results: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches.

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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.

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The gene has been widely studied to characterize variants and/or star alleles, which account for a significant portion of variability in drug responses observed within and between populations. However, African populations remain under-represented in these studies. The increasing availability of high coverage genomes from African populations has provided the opportunity to fill this knowledge gap.

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Cytochrome P450 2D6 (CYP2D6) is a key enzyme in drug response owing to its involvement in the metabolism of ~ 25% of clinically prescribed medications. The encoding CYP2D6 gene is highly polymorphic, and many pharmacogenetics studies have been performed worldwide to investigate the distribution of CYP2D6 star alleles (haplotypes); however, African populations have been relatively understudied to date. In this study, the distributions of CYP2D6 star alleles and predicted drug metabolizer phenotypes-derived from activity scores-were examined across multiple sub-Saharan African populations based on bioinformatics analysis of 961 high-depth whole genome sequences.

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POR is an enzyme that mediates electron transfer to enable the drug-metabolizing activity of CYP450 proteins. However, has been understudied in pharmacogenomics despite this vital role. This study aimed to characterize the genetic variation in across African populations and to compare the star allele (haplotype) distribution with that in other global populations.

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Background: Electronic data capture (EDC) in academic health care organizations provides an opportunity for the management, aggregation, and secondary use of research and clinical data. It is especially important in resource-constrained environments such as the South African public health care sector, where paper records are still the main form of clinical record keeping.

Objective: The aim of this study was to describe the strategies followed by the University of the Witwatersrand Faculty of Health Sciences (Wits FHS) during the period from 2013 to 2021 to overcome resistance to, and encourage the adoption of, the REDCap (Research Electronic Data Capture; Vanderbilt University) system by academic and clinical staff.

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  • Researchers studied the genetic connections to blood fats using data from 1.6 million people from different backgrounds to understand why certain fats are higher or lower in the body.
  • They looked at special genes and how they interact in the liver and fat cells, finding that the liver plays a big part in controlling fat levels.
  • Two specific genes, CREBRF and RRBP1, were highlighted as important in understanding how our bodies manage fats due to strong supporting evidence.
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  • * Despite the potential insights from large datasets, computational challenges can arise, prompting the need for dependable data analysis methods.
  • * This study presents the nf-rnaSeqCount pipeline, which automates RNA sequencing data analysis using Nextflow and Singularity, streamlining the process for generating read count matrices for differential gene expression studies.
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  • Genetic studies have found many genetic variants that influence lipid traits, with notable differences between populations in Europe, Asia, and Africa.
  • A recent study focused on a sub-Saharan African cohort identified a new association with LDL-C in the GATB region and further confirmed it with data from other African groups.
  • By analyzing a larger African sample, researchers improved predictive accuracy for LDL-C levels and established new genetic associations, underscoring the importance of including African data in genetic research.
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Precision medicine uses genomic guidance to improve drug treatment safety and efficacy. Prior knowledge of genetic variant impact can enable such strategies, but current knowledge of African variants remains scarce. variants are linked to haemolytic adverse effects for a number of drugs commonly used in African populations.

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