7 research outputs found
Identification of colorblindness among selected primary school children in Hararghe Region, Eastern Ethiopia
Background: Color vision deficiency or colorblindness, is the inability or reduced ability to distinguish different color spectra, particularly, red & green under normal lighting conditions with unaided eye. Redgreen colorblindness is heritable genetic disorder and most prevalent type of color vision deficiency and its incidence varies between different ethnicity and sex and shows disparity in different parts/regions of the world.Objectives: This study was conducted to find out the prevalence of colorblindness in Eastern part of Ethiopia and identify its distribution among Harari, Oromo and Ethio-Somali ethnic groups.Methods: A total of 2103 (1043 male & 1060 female) students belonging to the three ethnic groups were randomly selected from nine selected primary schools and were screened for color vision deficiency by using Ishihara’s tests for color vision deficiency and the data analysis was carried out with SPSS version 16.0.Results: Among those screened for color vision deficiency, 33 of them (1.6%) were diagnosed with colorblindness out of which 31 were male and 2 were female. Out of this; 15, 7 and 11 were from Harari, Oromo and Somali ethnicity respectively. The highest incidence was observed among Harari males (4.2%) and no color vision deficiency was recorded among Oromo females. Deuteronomally was the most frequent color vision defect detected (16, 48.5%) and protanopia was the least detected color vision deficiency with 4 cases (12.1%).Conclusion: Results from this study show similar prevalence rate with previously reported study in Ethiopia for Harari ethnic group but lower prevalence rates for Somali and Oromo ethnic groups. Early detection of colorblindness is important for children to select their future profession and take necessary precautions in their everyday activities. Families and other concerned bodies should also take the case of children with colorblindness into consideration while dealing with them.Keywords: Color vision deficiency, Red-green, Ishihara test, Eastern Ethiopi
Tracing the Route of Modern Humans out of Africa by Using 225 Human Genome Sequences from Ethiopians and Egyptians
The predominantly African origin of all modern human populations is well established, but the route taken out of Africa is still unclear. Two alternative routes, via Egypt and Sinai or across the Bab el Mandeb strait into Arabia, have traditionally been proposed as feasible gateways in light of geographic, paleoclimatic, archaeological, and genetic evidence. Distinguishing among these alternatives has been difficult. We generated 225 whole-genome sequences (225 at 8Ă— depth, of which 8 were increased to 30Ă—; Illumina HiSeq 2000) from six modern Northeast African populations (100 Egyptians and five Ethiopian populations each represented by 25 individuals). West Eurasian components were masked out, and the remaining African haplotypes were compared with a panel of sub-Saharan African and non-African genomes. We showed that masked Northeast African haplotypes overall were more similar to non-African haplotypes and more frequently present outside Africa than were any sets of haplotypes derived from a West African population. Furthermore, the masked Egyptian haplotypes showed these properties more markedly than the masked Ethiopian haplotypes, pointing to Egypt as the more likely gateway in the exodus to the rest of the world. Using five Ethiopian and three Egyptian high-coverage masked genomes and the multiple sequentially Markovian coalescent (MSMC) approach, we estimated the genetic split times of Egyptians and Ethiopians from non-African populations at 55,000 and 65,000 years ago, respectively, whereas that of West Africans was estimated to be 75,000 years ago. Both the haplotype and MSMC analyses thus suggest a predominant northern route out of Africa via Egypt
Evidence of the interplay of genetics and culture in Ethiopia.
Funder: RCUK | Natural Environment Research Council (NERC); doi: https://doi.org/10.13039/501100000270The rich linguistic, ethnic and cultural diversity of Ethiopia provides an unprecedented opportunity to understand the level to which cultural factors correlate with-and shape-genetic structure in human populations. Using primarily new genetic variation data covering 1,214 Ethiopians representing 68 different ethnic groups, together with information on individuals' birthplaces, linguistic/religious practices and 31 cultural practices, we disentangle the effects of geographic distance, elevation, and social factors on the genetic structure of Ethiopians today. We provide evidence of associations between social behaviours and genetic differences among present-day peoples. We show that genetic similarity is broadly associated with linguistic affiliation, but also identify pronounced genetic similarity among groups from disparate language classifications that may in part be attributable to recent intermixing. We also illustrate how groups reporting the same culture traits are more genetically similar on average and show evidence of recent intermixing, suggesting that shared cultural traits may promote admixture. In addition to providing insights into the genetic structure and history of Ethiopia, we identify the most important cultural and geographic predictors of genetic differentiation and provide a resource for designing sampling protocols for future genetic studies involving Ethiopians
The African Genome Variation Project shapes medical genetics in Africa.
Given the importance of Africa to studies of human origins and disease susceptibility, detailed characterization of African genetic diversity is needed. The African Genome Variation Project provides a resource with which to design, implement and interpret genomic studies in sub-Saharan Africa and worldwide. The African Genome Variation Project represents dense genotypes from 1,481 individuals and whole-genome sequences from 320 individuals across sub-Saharan Africa. Using this resource, we find novel evidence of complex, regionally distinct hunter-gatherer and Eurasian admixture across sub-Saharan Africa. We identify new loci under selection, including loci related to malaria susceptibility and hypertension. We show that modern imputation panels (sets of reference genotypes from which unobserved or missing genotypes in study sets can be inferred) can identify association signals at highly differentiated loci across populations in sub-Saharan Africa. Using whole-genome sequencing, we demonstrate further improvements in imputation accuracy, strengthening the case for large-scale sequencing efforts of diverse African haplotypes. Finally, we present an efficient genotype array design capturing common genetic variation in Africa
Multiple Rare Variants as a Cause of a Common Phenotype: Several Different Lactase Persistence Associated Alleles in a Single Ethnic Group
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The African Genome Variation Project shapes medical genetics in Africa.
Given the importance of Africa to studies of human origins and disease susceptibility, detailed characterization of African genetic diversity is needed. The African Genome Variation Project provides a resource with which to design, implement and interpret genomic studies in sub-Saharan Africa and worldwide. The African Genome Variation Project represents dense genotypes from 1,481 individuals and whole-genome sequences from 320 individuals across sub-Saharan Africa. Using this resource, we find novel evidence of complex, regionally distinct hunter-gatherer and Eurasian admixture across sub-Saharan Africa. We identify new loci under selection, including loci related to malaria susceptibility and hypertension. We show that modern imputation panels (sets of reference genotypes from which unobserved or missing genotypes in study sets can be inferred) can identify association signals at highly differentiated loci across populations in sub-Saharan Africa. Using whole-genome sequencing, we demonstrate further improvements in imputation accuracy, strengthening the case for large-scale sequencing efforts of diverse African haplotypes. Finally, we present an efficient genotype array design capturing common genetic variation in Africa