2023 |
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Sidsel Nag, Gunhild Larsen, Judit Szarvas, Laura Elmlund Kohl Birkedahl, Gábor Máté Gulyás, Wojchiech Jakub Ciok, Timmie Mikkel Lagermann, Silva Tafaj, Susan Bradbury, Peter Collignon, Denise Daley, Victorien Dougnon, Kafayath Fabiyi, Boubacar Coulibaly, René Dembélé, Georgette Nikiema, Natama Magloire, Isidore Juste Ouindgueta, Zenat Zebin Hossain, Anowara Begum, Deyan Donchev, Mathew Diggle, Lee Ann Turnbull, Simon Lévesque, Livia Berlinger, Kirstine Kobberoe Sogaard, Paula Diaz Guevara, Carolina Duarte Valderrama, Panagiota Maikanti, Jana Amlerova, Pavel Drevinek, Jan Tkadlec, Milica Dilas, Achim Kaasch, Henrik Torkil Westh, Mohamed Azzedine Bachtarzi, Wahiba Amhis, Carolina Elisabeth Satán Salazar, JoséEduardo E. Villacis, Mária Angeles Dominguez Lúzon, Dámaris Berbel Palau, Claire Duployez, Maxime Paluche, Solomon Asante-Sefa, Mie Moller, Margaret Ip, Ivana Mareković, Agnes Pál-Sonnevend, Clementiza Elvezia Cocuzza, Asta Dambrauskiene, Alexandre Macanze, Anelsio Cossa, Inácio Mandomando, Philip Nwajiobi-Princewill, Iruka N. Okeke, Aderemi O. Kehinde, Ini Adebiyi, Ifeoluwa Akintayo, Oluwafemi Popoola, Anthony Onipede, Anita Blomfeldt, Nora Elisabeth Nyquist, Kiri Bocker, James Ussher, Amjad Ali, Nimat Ullah, Habibullah Khan, Natalie Weiler Gustafson, Ikhlas Jarrar, Arif Al-Hamad, Viravarn Luvira, Wantana Paveenkittiporn, Irmak Baran, James C. L. Mwansa, Linda Sikakwa, Kaunda Yamba, Rene Sjogren Hendriksen, Frank Moller Aarestrup Whole genomes from bacteria collected at diagnostic units around the world 2020 Journal Article In: Scientific data, vol. 10, iss. 1, 2023, ISSN: 2052-4463. Abstract | BibTeX | Tags: Bacteria* / genetics, Bacterial*, Computational Biology, Databases, Dataset, doi:10.1038/s41597-023-02502-7, Factual, Frank Moller Aarestrup, Genome, Gunhild Larsen, MEDLINE, Metadata, National Center for Biotechnology Information, National Institutes of Health, National Library of Medicine, NCBI, NIH, NLM, PMC10505216, pmid:37717051, PubMed Abstract, Sidsel Nag | Links: @article{Nag2023, The Two Weeks in the World research project has resulted in a dataset of 3087 clinically relevant bacterial genomes with pertaining metadata, collected from 59 diagnostic units in 35 countries around the world during 2020. A relational database is available with metadata and summary data from selected bioinformatic analysis, such as species prediction and identification of acquired resistance genes. | |||
2020 |
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![]() | Julius Mulindwa, Harry Noyes, Hamidou Ilboudo, Luca Pagani, Oscar Nyangiri, Magambo Phillip Kimuda, Bernardin Ahouty, Olivier Fataki Asina, Elvis Ofon, Kelita Kamoto, Justin Windingoudi Kabore, Mathurin Koffi, Dieudonne Mumba Ngoyi, Gustave Simo, John Chisi, Issa Sidibe, John Enyaru, Martin Simuunza, Pius Alibu, Vincent Jamonneau, Mamadou Camara, Andy Tait, Neil Hall, Bruno Bucheton, Annette MacLeod, Christiane Hertz-Fowler, Enock Matovu High Levels of Genetic Diversity within Nilo-Saharan Populations: Implications for Human Adaptation. Journal Article In: American journal of human genetics, vol. 107, iss. 3, pp. 473-486, 2020, ISSN: 1537-6605 0002-9297. Abstract | BibTeX | Tags: *Nilo-Saharan, *population genetic variation, *signatures of selection, Adaptation, Antiporters/genetics, Blacks/genetics, Data Management, Ethiopia/epidemiology, Female, Genetic Variation/*genetics, Genetic/*genetics, Genetics, Genome, Haplotypes/genetics, Human/genetics, Humans, Male, Membrane Glycoproteins/genetics, Oxidoreductases/genetics, Physiological/*genetics, Polymorphism, Population, Selection, Single Nucleotide/genetics, Skin Pigmentation/*genetics, Sorting Nexins/genetics, Tumor Suppressor Proteins/genetics, Uganda/epidemiology | Links: @article{nokey, Africa contains more human genetic variation than any other continent, but the majority of the population-scale analyses of the African peoples have focused on just two of the four major linguistic groups, the Niger-Congo and Afro-Asiatic, leaving the Nilo-Saharan and Khoisan populations under-represented. In order to assess genetic variation and signatures of selection within a Nilo-Saharan population and between the Nilo-Saharan and Niger-Congo and Afro-Asiatic, we sequenced 50 genomes from the Nilo-Saharan Lugbara population of North-West Uganda and 250 genomes from 6 previously unsequenced Niger-Congo populations. We compared these data to data from a further 16 Eurasian and African populations including the Gumuz, another putative Nilo-Saharan population from Ethiopia. Of the 21 million variants identified in the Nilo-Saharan population, 3.57 million (17%) were not represented in dbSNP and included predicted non-synonymous mutations with possible phenotypic effects. We found greater genetic differentiation between the Nilo-Saharan Lugbara and Gumuz populations than between any two Afro-Asiatic or Niger-Congo populations. F3 tests showed that Gumuz contributed a genetic component to most Niger-Congo B populations whereas Lugabara did not. We scanned the genomes of the Lugbara for evidence of selective sweeps. We found selective sweeps at four loci (SLC24A5, SNX13, TYRP1, and UVRAG) associated with skin pigmentation, three of which already have been reported to be under selection. These selective sweeps point toward adaptations to the intense UV radiation of the Sahel. |
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