The Enhancement of East African Universities’ Contribution towards the Attainment of Millennium Development Goal 5-Improving Maternal Health

Improving maternal health was recognized by the international community as a key component of the United Nations 2000 Millennium Summit initiative to reduce worldwide hunger, poverty and disease.Improving maternal health was recognized by the international community as a key component of the United Nations 2000 Millennium Summit initiative to reduce worldwide hunger, poverty and disease. All participating countries agreed to work toward the eight Millennium Development Goals (MDGs) and Millennium Development Goal 5 (MDG-5) in particular, which focuses on reducing the global maternal mortality ratio by 75 percent by 2015 compared to 1990 rates. According to recent estimates, exciting progress towards reducing maternal mortality has been made in many developing regions, including sub-Saharan Africa and Southern Asia where the majority of maternal deaths occur. Despite this important progress however, an estimated 358,000 maternal deaths occurred worldwide in 2008. Worse still, developing countries account for 99 percent, or 355,000, of all deaths. Sub-Saharan Africa and Southern Asia account for 87 percent of global maternal deaths, (313,000 deaths). It has also been estimated that, in sub-Saharan Africa, a woman’s risk of dying from preventable or treatable complications of pregnancy and childbirth over the course of her life time is 1 in 31, compared to only 1 in 4300 in developed regions (United Nations, 2010).1 Sub-Saharan African countries have much to gain from the realization and achievement of the MDGs. This takes the involvement of different stakeholders including universities. However, what role(s) are the universities in Sub-Saharan Africa playing in educating students about MDGs and, especially, MDG-5? Given that current and future Sub-Saharan Africa University students are considered to be the elites in their countries and will become decision makers and activists, a study on the Enhancement of East African Universities’ Contribution towards the Attainment of MDG 5 reveals that universities can, and should play a pivotal role in accelerating progress

Genomic characterization of SARS-CoV-2 from Uganda using MinION nanopore sequencing

Abstract SARS-CoV-2 undergoes frequent mutations, affecting COVID-19 diagnostics, transmission and vaccine efficacy. Here, we describe the genetic diversity of 49 SARS-CoV-2 samples from Uganda, collected during the COVID-19 waves of 2020/2021. Overall, the samples were similar to previously reported SARS-CoV-2 from Uganda and the Democratic Republic of Congo (DRC). The main lineages were AY.46 and A.23, which are considered to be Delta SARS-CoV-2 variants. Further, a total of 268 unique single nucleotide variants and 1456 mutations were found, with more than seventy percent mutations in the ORF1ab and S genes. The most common mutations were 2042C>G (83.4%), 14143C>T (79.5%), 245T>C (65%), and 1129G>T (51%), which occurred in the S, ORF1ab, ORF7a and N genes, respectively. As well, 28 structural variants—21 insertions and 7 deletions, occurred in 16 samples. Our findings point to the possibility that most SARS-CoV-2 infections in Uganda at the time arose from local spread and were not newly imported. Moreover, the relatedness of variants from Uganda and the DRC reflects high human mobility and interaction between the two countries, which is peculiar to this region of the world

A deep population reference panel of tandem repeat variation.

Tandem repeats (TRs) represent one of the largest sources of genetic variation in humans and are implicated in a range of phenotypes. Here we present a deep characterization of TR variation based on high coverage whole genome sequencing from 3550 diverse individuals from the 1000 Genomes Project and H3Africa cohorts. We develop a method, EnsembleTR, to integrate genotypes from four separate methods resulting in high-quality genotypes at more than 1.7 million TR loci. Our catalog reveals novel sequence features influencing TR heterozygosity, identifies population-specific trinucleotide expansions, and finds hundreds of novel eQTL signals. Finally, we generate a phased haplotype panel which can be used to impute most TRs from nearby single nucleotide polymorphisms (SNPs) with high accuracy. Overall, the TR genotypes and reference haplotype panel generated here will serve as valuable resources for future genome-wide and population-wide studies of TRs and their role in human phenotypes