{"database":"EGA","file_versions":[],"scores":null,"additional":{"omics_type":["Genomics"],"technology_type":["Applied Biosystems"],"study_type":["Other"],"full_dataset_link":["https://ega-archive.org/studies/EGAS00001002380"],"host":["EGA"],"description":["EGA study EGAS00001002380"],"dataset_title":["Botswana Identifiler dataset"],"repository":["EGA"],"category":["restricted"],"name_synonyms":["Kalahari, Bechuanaland."],"description_synonyms":["Psychological Power, 2'-CMP, AL033346, Procedures, conformation, determination, Professional Power, colony forming unit granulocyte, CFU-GEMM, fat, Computer, RATFOL1, Cytidylic Acid, Human, Geographic, School-Age, Personal, method, Techniques, CMP, macrophage, Method, heredity, Bechuanaland, method used in an experiment, prohormone-processing carboxypeptidase, Studies, myeloid stem cell, Software Engineering, Cph1, foll, Technique, 2' CMP, Computer Program, Application, Psychological, tess-2, School-Age Populations, Open Source Softwares, xfs, Diversity, Genetic, Tes1, CFU-S, pluripotent stem cell (bone marrow), carboxypeptidase H, Software Application, Open, Open Source Software, Computer Programs and Programming, Tes2, Population, Probabilities, Computer Software Application, Social, genetic, Study, Geographic Factor, set, 3' CMP, Crtm, Methodological Studies, Tools, grupos, CD34-positive, Carboxypeptidase H, 3'-CMP, Geographic Location, Human Geography, Social Power, School Age Population, enkephalin convertase, CPE, constitutitional genetic, CPH, Variation, Power, common myeloid precursor, Geography, Genetic Variations, Applications Software, Linguistic, 5'-Cytidylic acid, Open Source, Variations, grupo, Computer Software, R74677, familial, Prohormone-processing carboxypeptidase, Diversities, Cytidylic Acids, multipotential myeloid stem cell, Factor, Psychological Powers, Procedure, Source Softwares, group, Software Tools, Tool, Programs, Program, Computer Applications, Fst-288, Software Tool, tess, School Age, matrilin-1, Cytidine, chemical analysis, Computer Applications Software, Genetic Diversities, erythrocyte, Geographic Factors, Computer Applications Softwares, Professional, Enkephalin convertase, Cytidylic, Softwares, TESS, Software, Cph-1, TESS-2, Acid, Populations, Software Applications, Factors, ensemble, geographic region {alternative name}., FS, Source Software, FOL1, Engineering, Rest, 3.4.17.10, Mat1, Methodological, Genetic Diversity, Methodological Study, School Age Populations, Kalahari, plan specification, Computer Programs, Personal Power, Applications, Applications Softwares, testin2, Power (Psychology), D6Ertd352e, Acids, inherited genetic, School-Age Population, assay, and megakaryocyte, Monophosphate, Powers, hereditary, groupe, Gruppe, Computer Software Applications"],"additional_accession":[]},"is_claimable":false,"name":"Botswana 15 autosomal unlinked microsatellites","description":"Population structure was investigated in 990 Botswana individuals according to ethno-linguistics, Bantu and Khoisan, and geography (the nine administrative districts) using the AmpFLSTR Identifiler autosomal microsatellite markers. Genetic diversity and forensic parameters were calculated for the overall population, and according to ethno-linguistics and geography. The overall combined power of exclusion (CPE) was 0.9999965412 and the combined match probability 6,28 x 10-19. CPE was highest for the Khoisan Tuu ethnolinguistic group and the Northeast District at 0.9999582029 and 0.9999922652 respectively. CMP ranged from 6.28 x 10-19 (Khoisan Tuu) to 1,02 x 10-18 (Northwest district). Using pairwise genetic distances (FST), analysis of molecular variance (AMOVA), factorial correspondence analysis (FCA), and the unsupervised Bayesian clustering method found in  STRUCTURE and landscape genetics software TESS, ethno-linguistics were found to have a greater influence on population structure than geography. FCA showed clustering between Bantu and Khoisan, and within the Bantu. This Bantu sub-structuring was not seen with STRUCTURE and TESS, which detected clustering only between Bantu and Khoisan. The patterns of population structure revealed highlight the need for regional reference databases that include ethno-linguistic and geographic location information. These markers have important potential for bio-anthropological studies as well as for forensic applications.","dates":{"updated":"2018-01-11 10:50:59"},"accession":"EGAS00001002380","cross_references":{"TAXONOMY":["9606"],"EGA":["EGAD00010001255","EGAC00001000636"]}}