1
|
Tadesse D, Masresha G, Lulekal E, Wondafrash M. A systematic review exploring the diversity and food security potential of wild edible plants in Ethiopia. Sci Rep 2024; 14:17821. [PMID: 39090093 PMCID: PMC11294628 DOI: 10.1038/s41598-024-67421-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 07/11/2024] [Indexed: 08/04/2024] Open
Abstract
Wild edible plants (WEPs) are important food sources globally due to their accessibility and affordability. In Ethiopia, where diverse cultural groups consume WEPs, this systematic review explores their diversity, edible parts, and role in supporting food security. The review examined 38 original studies on the ethnobotany of WEPs in Ethiopia from 2000 to 2022. It identified a total of 651 WEP species from 343 genera and 94 families, with the Fabaceae family having the most species (51). Herbs and shrubs were the predominant growth habits, and fruits were the most consumed plant parts. The review prioritized nine WEP species for cultivation and promotion. However, threats such as overgrazing, agricultural expansion, and the use of woody species for construction, firewood, and charcoal have depleted WEP resources and eroded traditional knowledge about their use. The review suggests that WEPs have the potential to contribute to food and nutritional security in Ethiopia if these threats are effectively managed. However, the limited coverage of ethnobotanical studies on WEPs requires further investigation. The study recommends integrating the prioritized WEPs into the national food system for promotion, cultivation, and nutrient analysis to evaluate their nutritional bioavailability.
Collapse
Affiliation(s)
- Daniel Tadesse
- Department of Plant Sciences, University of Gondar, Gondar, Ethiopia.
- Department of Biology, University of Gondar, Gondar, Ethiopia.
| | | | - Ermias Lulekal
- Department of Plant Biology and Biodiversity Management, Addis Ababa University, Addis Ababa, Ethiopia
| | - Melaku Wondafrash
- Department of Plant Biology and Biodiversity Management, Addis Ababa University, Addis Ababa, Ethiopia
| |
Collapse
|
2
|
Sawchuk EA, Sirak KA, Manthi FK, Ndiema EK, Ogola CA, Prendergast ME, Reich D, Aluvaala E, Ayodo G, Badji L, Bird N, Black W, Fregel R, Gachihi N, Gibbon VE, Gidna A, Goldstein ST, Hamad R, Hassan HY, Hayes VM, Hellenthal G, Kebede S, Kurewa A, Kusimba C, Kyazike E, Lane PJ, MacEachern S, Massilani D, Mbua E, Morris AG, Mutinda C, M'Mbogori FN, Reynolds AW, Tishkoff S, Vilar M, Yimer G. Charting a landmark-driven path forward for population genetics and ancient DNA research in Africa. Am J Hum Genet 2024; 111:1243-1251. [PMID: 38996465 PMCID: PMC11267517 DOI: 10.1016/j.ajhg.2024.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/20/2024] [Accepted: 05/21/2024] [Indexed: 07/14/2024] Open
Abstract
Population history-focused DNA and ancient DNA (aDNA) research in Africa has dramatically increased in the past decade, enabling increasingly fine-scale investigations into the continent's past. However, while international interest in human genomics research in Africa grows, major structural barriers limit the ability of African scholars to lead and engage in such research and impede local communities from partnering with researchers and benefitting from research outcomes. Because conversations about research on African people and their past are often held outside Africa and exclude African voices, an important step for African DNA and aDNA research is moving these conversations to the continent. In May 2023 we held the DNAirobi workshop in Nairobi, Kenya and here we synthesize what emerged most prominently in our discussions. We propose an ideal vision for population history-focused DNA and aDNA research in Africa in ten years' time and acknowledge that to realize this future, we need to chart a path connecting a series of "landmarks" that represent points of consensus in our discussions. These include effective communication across multiple audiences, reframed relationships and capacity building, and action toward structural changes that support science and beyond. We concluded there is no single path to creating an equitable and self-sustaining research ecosystem, but rather many possible routes linking these landmarks. Here we share our diverse perspectives as geneticists, anthropologists, archaeologists, museum curators, and educators to articulate challenges and opportunities for African DNA and aDNA research and share an initial map toward a more inclusive and equitable future.
Collapse
Affiliation(s)
- Elizabeth A Sawchuk
- Cleveland Museum of Natural History, Cleveland, OH, USA; Department of Anthropology, University of Alberta, Edmonton, AB, Canada; Department of Anthropology, Stony Brook University, Stony Brook, NY, USA.
| | - Kendra A Sirak
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA.
| | | | | | | | | | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Eva Aluvaala
- Kenya Medical Research Institute, Nairobi, Kenya
| | - George Ayodo
- Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya
| | - Lamine Badji
- Cultural Engineering Research Unit (URICA) of IFAN-University Cheikh Anta Diop, Dakar, Senegal
| | - Nancy Bird
- UCL Genetics Institute and Research Department of Genetics, Evolution, and Environment, University College London, London, UK
| | - Wendy Black
- Archaeology Unit, Department of Research & Exhibitions, Iziko Museums of South Africa, Cape Town, South Africa; Human Evolution Research Institute, University of Cape Town, Cape Town, South Africa
| | - Rosa Fregel
- Evolution, Paleogenomics and Population Genetics Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
| | | | - Victoria E Gibbon
- Division of Clinical Anatomy and Biological Anthropology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Agness Gidna
- Department of Cultural Heritage, Ngorongoro Conservation Area Authority, Arusha, Tanzania
| | - Steven T Goldstein
- Department of Anthropology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Reem Hamad
- Diversity and Diseases Group, Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan
| | - Hisham Y Hassan
- Bahrain Defence Force Hospital, Royal Medical Services, Riffa, Kingdom of Bahrain
| | - Vanessa M Hayes
- School of Medical Sciences, University of Sydney, Sydney, NSW, Australia; School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Garrett Hellenthal
- UCL Genetics Institute and Research Department of Genetics, Evolution, and Environment, University College London, London, UK
| | - Solomon Kebede
- Authority for Research and Conservation of Cultural Heritage Ethiopia, Addis Ababa, Ethiopia
| | - Abdikadir Kurewa
- National Museums of Kenya, Nairobi, Kenya; Department of Anthropology, University of Florida, Gainesville, FL, USA
| | | | - Elizabeth Kyazike
- Department of History, Archaeology and Heritage Studies, Faculty of Arts and Humanities, Kyambogo University, Kampala, Uganda
| | - Paul J Lane
- Department of Archaeology, University of Cambridge, Cambridge, UK; School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa
| | - Scott MacEachern
- Department of Archaeology and Anthropology, Duke Kunshan University, Kunshan, China
| | - Diyendo Massilani
- Department of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Emma Mbua
- National Museums of Kenya, Nairobi, Kenya
| | - Alan G Morris
- Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | | | | | - Austin W Reynolds
- Department of Microbiology, Immunology, and Genetics, School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Sarah Tishkoff
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA; Penn Center for Global Genomics & Health Equity, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Miguel Vilar
- Department of Anthropology, University of Maryland, College Park, MD, USA
| | - Getnet Yimer
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA; Penn Center for Global Genomics & Health Equity, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
3
|
Getahun KA, Angaw DA, Asres MS, Kahaliw W, Petros Z, Abay SM, Yimer G, Berhane N. The Role of Pharmacogenomics Studies for Precision Medicine Among Ethiopian Patients and Their Clinical Implications: A Scoping Review. Pharmgenomics Pers Med 2024; 17:347-361. [PMID: 38974617 PMCID: PMC11226858 DOI: 10.2147/pgpm.s454328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 06/12/2024] [Indexed: 07/09/2024] Open
Abstract
Background Pharmacogenomics research is currently revolutionizing treatment optimization by discovering molecular markers. Medicines are the cornerstone of treatment for both acute and chronic diseases. Pharmacogenomics associated treatment response varies from 20% to 95%, resulting in from lack of efficacy to serious toxicity. Pharmacogenomics has emerged as a useful tool for therapy optimization and plays a bigger role in clinical care going forward. However, in Africa, in particular in Ethiopia, such studies are scanty and not generalizing. Therefore, the objective of this review was to outline such studies, generating comprehensive evidence and identify studied variants' association with treatment responses in Ethiopian patients. Methods The Joanna Briggs Institute's updated 2020 methodological guidelines for conducting and guidance for scoping reviews were used. We meticulously adhered to the systemic review reporting items checklist and scoping review meta-analyses extension. Results Two hundred twenty-nine possibly relevant studies were searched. These include: 64, 54, 21, 48 and 42 from PubMed, Scopus, Google Scholar, EMBASE, and manual search, respectively. Seventy-seven duplicate studies were removed. Thirty-nine papers were rejected with justification, whereas 58 studies were qualified for full-text screening. Finally 19 studies were examined. The primary pharmacogene that was found to have a significant influence on the pharmacokinetics of efavirenz was CYP2B6. Drug-induced liver injury has frequently identified toxicity among studied medications. Conclusion and Future Perspectives Pharmacogenomics studies in Ethiopian populations are less abundant. The studies conducted focused on infectious diseases, specifically on HAART commonly efavirenz and backbone first-line anti-tuberculosis drugs. There is a high need for further pharmacogenomics research to verify the discrepancies among the studies and for guiding precision medicine. Systematic review and meta-analysis are also recommended for pooled effects of different parameters in pharmacogenomics studies.
Collapse
Affiliation(s)
- Kefyalew Ayalew Getahun
- Department of Pharmacology, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Dessie Abebaw Angaw
- Department of Biostatistics and Epidemiology, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mezgebu Silamsaw Asres
- Department of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Wubayehu Kahaliw
- Department of Pharmacology, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zelalem Petros
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Solomon Mequanente Abay
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Getnet Yimer
- Department of Genetics and Center for Global Genomics and Health Equity, School of Medicine, University of Pennsylvania, Pennsylvania, US, USA
| | - Nega Berhane
- Department of Medical Biotechnology, Institute of Biotechnology, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
4
|
Xia ZY, Chen X, Wang CC, Deng Q. Tracing the fine-scale demographic history and recent admixture in Hmong-Mien speakers. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2024; 184:e24945. [PMID: 38708925 DOI: 10.1002/ajpa.24945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 03/11/2024] [Accepted: 04/02/2024] [Indexed: 05/07/2024]
Abstract
The linguistic, historical, and subsistent uniqueness of Hmong-Mien (HM) speakers offers a wonderful opportunity to investigate how these factors impact the genetic structure. The genetic differentiation among HM speakers and their population history are not well characterized. Here, we generate genome-wide data from 65 Yao ethnicity samples and analyze them with published data, particularly by leveraging haplotype-based methods. We determined that the fine-scale genetic substructure of HM speakers corresponds better with linguistic classification than with geography. Particularly, parallels between serial founder events and language differentiations can be observed in West Hmongic speakers. Multiple lines of evidence indicate that ~500-year-old GaoHuaHua individuals are most closely related to West Hmongic-speaking Bunu. The strong genetic bottleneck of some HM-speaking groups, especially Bunu, could potentially be associated with their long-term practice of swidden agriculture to some degree. The inferred admixture dates for most of the HM speakers overlap with the reign of the Ming dynasty (1368-1644 CE). Besides a common genetic origin for HM speakers, their genetic ancestry is shared primarily with neighboring Han Chinese and Tai-Kadai speakers in south China. In conclusion, our analyses reveal that recent isolation and admixture events have contributed to the genetic population history of present-day HM speakers.
Collapse
Affiliation(s)
- Zi-Yang Xia
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Computational Biology, Cornell University, Ithaca, New York, USA
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Xingcai Chen
- Department of Human Anatomy, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, Nanning, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
- Department of Anthropology and Ethnology, Institute of Anthropology, Fujian Provincial Key Laboratory of Philosophy and Social Sciences in Bioanthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Qiongying Deng
- Department of Human Anatomy, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, Nanning, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
- Key Laboratory of Human Development and Disease Research, Guangxi Medical University, Education Department of Guangxi Zhuang Autonomous Region, Nanning, China
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning, Guangxi, China
| |
Collapse
|
5
|
Zhang H, Yang M, Zhang H, Ren Z, Wang Q, Liu Y, Jin X, Ji J, Feng Y, Cai C, Ran Q, Li C, Huang J. Forensic features and phylogenetic structure survey of four populations from southwest China via the autosomal insertion/deletion markers. Forensic Sci Res 2024; 9:owad052. [PMID: 38765700 PMCID: PMC11102079 DOI: 10.1093/fsr/owad052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 05/09/2023] [Indexed: 05/22/2024] Open
Abstract
Insertion/Deletion (InDel) polymorphisms, characterized by their smaller amplicons, reduced mutation rates, and compatibility with the prevalent capillary electrophoresis (CE) platforms in forensic laboratories, significantly contribute to the advancement and application of genetic analysis. Guizhou province in China serves as an important region for investigating the genetic structure, ethnic group origins, and human evolution. However, DNA data and the sampling of present-day populations are lacking, especially about the InDel markers. Here, we reported data on 47 autosomal InDels from 592 individuals from four populations in Guizhou (Han, Dong, Yi, and Chuanqing). Genotyping was performed with the AGCU InDel 50 kit to evaluate their utility for forensic purposes and to explore the population genetic structure. Our findings showed no significant deviations from Hardy-Weinberg and linkage equilibriums. The combined power of discrimination (CPD) and the combined power of exclusion (CPE) for each population demonstrated that the kit could be applied to forensic individual identification and was an effective supplement for parentage testing. Genetic structure analyses, including principal component analysis, multidimensional scaling, genetic distance calculation, STRUCTURE, and phylogenetic analysis, highlighted that the genetic proximity of the studied populations correlates with linguistic, geographical, and cultural factors. The observed genetic variances within four research populations were less pronounced than those discerned between populations across different regions. Notably, the Guizhou Han, Dong, and Chuanqing populations showed closer genetic affiliations with linguistically similar groups than the Guizhou Yi. These results underscore the potential of InDel markers in forensic science and provide insights into the genetic landscape and human evolution in multi-ethnic regions like Guizhou. Key points InDel markers show promise for forensic individual identification and parentage testing via the AGCU InDel 50 kit.Genetic analysis of Guizhou populations reveals correlations with linguistic, geographical, and cultural factors.Guizhou Han, Dong, and Chuanqing populations showed closer genetic affiliations with linguistically similar groups than the Guizhou Yi.
Collapse
Affiliation(s)
- Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
- Institute of Forensic Science, Fudan University, Shanghai, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yuhang Feng
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Changsheng Cai
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Qianchong Ran
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Chengtao Li
- Institute of Forensic Science, Fudan University, Shanghai, China
| | - Jiang Huang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| |
Collapse
|
6
|
Sirak K, Jansen Van Rensburg J, Brielle E, Chen B, Lazaridis I, Ringbauer H, Mah M, Mallick S, Micco A, Rohland N, Callan K, Curtis E, Kearns A, Lawson AM, Workman JN, Zalzala F, Ahmed Al-Orqbi AS, Ahmed Salem EM, Salem Hasan AM, Britton DC, Reich D. Medieval DNA from Soqotra points to Eurasian origins of an isolated population at the crossroads of Africa and Arabia. Nat Ecol Evol 2024; 8:817-829. [PMID: 38332026 PMCID: PMC11009077 DOI: 10.1038/s41559-024-02322-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 12/11/2023] [Indexed: 02/10/2024]
Abstract
Soqotra, an island situated at the mouth of the Gulf of Aden in the northwest Indian Ocean between Africa and Arabia, is home to ~60,000 people subsisting through fishing and semi-nomadic pastoralism who speak a Modern South Arabian language. Most of what is known about Soqotri history derives from writings of foreign travellers who provided little detail about local people, and the geographic origins and genetic affinities of early Soqotri people has not yet been investigated directly. Here we report genome-wide data from 39 individuals who lived between ~650 and 1750 CE at six locations across the island and document strong genetic connections between Soqotra and the similarly isolated Hadramawt region of coastal South Arabia that likely reflects a source for the peopling of Soqotra. Medieval Soqotri can be modelled as deriving ~86% of their ancestry from a population such as that found in the Hadramawt today, with the remaining ~14% best proxied by an Iranian-related source with up to 2% ancestry from the Indian sub-continent, possibly reflecting genetic exchanges that occurred along with archaeologically documented trade from these regions. In contrast to all other genotyped populations of the Arabian Peninsula, genome-level analysis of the medieval Soqotri is consistent with no sub-Saharan African admixture dating to the Holocene. The deep ancestry of people from medieval Soqotra and the Hadramawt is also unique in deriving less from early Holocene Levantine farmers and more from groups such as Late Pleistocene hunter-gatherers from the Levant (Natufians) than other mainland Arabians. This attests to migrations by early farmers having less impact in southernmost Arabia and Soqotra and provides compelling evidence that there has not been complete population replacement between the Pleistocene and Holocene throughout the Arabian Peninsula. Medieval Soqotra harboured a small population that showed qualitatively different marriage practices from modern Soqotri, with first-cousin unions occurring significantly less frequently than today.
Collapse
Affiliation(s)
- Kendra Sirak
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
| | | | - Esther Brielle
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Bowen Chen
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Iosif Lazaridis
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Harald Ringbauer
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Matthew Mah
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Swapan Mallick
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Adam Micco
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Kimberly Callan
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Elizabeth Curtis
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Aisling Kearns
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Ann Marie Lawson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - J Noah Workman
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Fatma Zalzala
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | | | | | | | | | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| |
Collapse
|
7
|
Tamene S, Negash M, Makonda FB, Chiwona-Karltun L. Influence of socio-demographic factors on medicinal plant knowledge among three selected ethnic groups in south-central Ethiopia. JOURNAL OF ETHNOBIOLOGY AND ETHNOMEDICINE 2024; 20:29. [PMID: 38419117 PMCID: PMC11340053 DOI: 10.1186/s13002-024-00672-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 02/23/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND The influence of socio-demographic variables was widely explored to evaluate their impact on indigenous and local ethnobotanical knowledge. However, the studies conducted in Ethiopia mainly focused on rural areas. They were limited to exploring and documenting ethnobotanical knowledge and the associated impacts of socio-demographic variables in rural-urban interface areas among ethnic groups. Hence, this study aimed to document plant-based indigenous and local ethnomedicinal knowledge and the associated impacts of socio-demographic variables among selected three ethnic groups in south-central Ethiopia. METHODS Ethnobotanical data were collected using semi-structured interviews with 189 key informants, floristic species inventories, and field observations. Quantitative approaches were used to evaluate the use values (UV) of the most important medicinal plants, the informant consensus factor (ICF), fidelity level (FL), relative popularity level (RPL), and rank-order priority (ROP). Statistical tests were applied to evaluate the influences of socio-demographic factors and associations between variables on local ethnobotanical knowledge across ethnic groups in different informant categories. RESULTS Statistical analysis revealed significant differences (p < 0.05) in the mean number of medicinal plants reported among age categories. There was also a positive association between the respondent's age and plant knowledge acquisition. Croton macrostachyus Hochst. ex Delile, Albizia gummifera C.A.Sm., Zingiber officinale Roscoe, Aloe macrocarpa Tod., Gymnanthemum amygdalinum (Delile) Sch.Bip., Calpurnia aurea (Aiton) Benth, and Allium sativum L. had the highest use values among ethnic groups. The highest informant consensus factor values were recorded for circulatory system disorders (0.68) followed by febrile illness and reproductive organ complications (0.66 each) across the three studied ethnic groups. The highest FL, RPL, and ROP values were noted for Lactuca inermis Forssk., Moringa stenopetala (Baker f.) Cufod., Withania somnifera (L.) Dunal, Allium sativum L., Citrus limon (L.) Osbeck, Ricinus communis L., Schinus molle L., Antiaris toxicaria (J.F.Gmel.) Lesch., Brucea antidysenterica J.F.Mill., Echinops kebericho Mesfin, Ocimum jamesii Sebald, Afrocarpus falcatus (Thunb.) C.N.Page, Searsia natalensis (Bernh. ex Krauss) F.A.Barkley, and Ricinus communis L. across ethnic groups in the study areas, which showed the conformity of knowledge on species curing potential and their prevalent uses. CONCLUSION The study revealed that the ethnic groups of Gedeo, Oromo, and Sidama have considerable indigenous and local ethnobotanical knowledge practices. Statistical analysis shown high variation in the acquisition of local ethnobotanical knowledge among age groups, which boosted our understanding of the effects of socio-demographic factors on the local ethnobotanical knowledge dynamics. Thus, this finding advocates for efforts to repair the observed generation gap via continued professional support and educating local communities to preserve traditional knowledge and practices through systematic documentation.
Collapse
Affiliation(s)
- Sintayehu Tamene
- Wondo Genet College of Forestry and Natural Resources, Hawassa University, PO Box 05, Hawassa, Ethiopia.
| | | | | | - Linley Chiwona-Karltun
- Department of Urban and Rural Development, Swedish University of Agricultural Sciences, Uppsala, Sweden
| |
Collapse
|
8
|
Mallick S, Micco A, Mah M, Ringbauer H, Lazaridis I, Olalde I, Patterson N, Reich D. The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci Data 2024; 11:182. [PMID: 38341426 PMCID: PMC10858950 DOI: 10.1038/s41597-024-03031-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
More than two hundred papers have reported genome-wide data from ancient humans. While the raw data for the vast majority are fully publicly available testifying to the commitment of the paleogenomics community to open data, formats for both raw data and meta-data differ. There is thus a need for uniform curation and a centralized, version-controlled compendium that researchers can download, analyze, and reference. Since 2019, we have been maintaining the Allen Ancient DNA Resource (AADR), which aims to provide an up-to-date, curated version of the world's published ancient human DNA data, represented at more than a million single nucleotide polymorphisms (SNPs) at which almost all ancient individuals have been assayed. The AADR has gone through six public releases at the time of writing and review of this manuscript, and crossed the threshold of >10,000 individuals with published genome-wide ancient DNA data at the end of 2022. This note is intended as a citable descriptor of the AADR.
Collapse
Affiliation(s)
- Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
| | - Adam Micco
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Harald Ringbauer
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
- Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Iosif Lazaridis
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Iñigo Olalde
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- BIOMICs Research Group, University of the Basque Country, 01006, Vitoria-Gasteiz, Spain
| | - Nick Patterson
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.
| |
Collapse
|
9
|
Tallman S, Sungo MDD, Saranga S, Beleza S. Whole genomes from Angola and Mozambique inform about the origins and dispersals of major African migrations. Nat Commun 2023; 14:7967. [PMID: 38042927 PMCID: PMC10693643 DOI: 10.1038/s41467-023-43717-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 11/17/2023] [Indexed: 12/04/2023] Open
Abstract
As the continent of origin for our species, Africa harbours the highest levels of diversity anywhere on Earth. However, many regions of Africa remain under-sampled genetically. Here we present 350 whole genomes from Angola and Mozambique belonging to ten Bantu ethnolinguistic groups, enabling the construction of a reference variation catalogue including 2.9 million novel SNPs. We investigate the emergence of Bantu speaker population structure, admixture involving migrations across sub-Saharan Africa and model the demographic histories of Angolan and Mozambican Bantu speakers. Our results bring together concordant views from genomics, archaeology, and linguistics to paint an updated view of the complexity of the Bantu Expansion. Moreover, we generate reference panels that better represents the diversity of African populations involved in the trans-Atlantic slave trade, improving imputation accuracy in African Americans and Brazilians. We anticipate that our collection of genomes will form the foundation for future African genomic healthcare initiatives.
Collapse
Affiliation(s)
- Sam Tallman
- University of Leicester, Department of Genetics & Genome Biology, University Road, Leicester, LE1 7RH, UK
- Genomics England, 1 Canada Square, London, E14 5AB, UK
| | | | - Sílvio Saranga
- Universidade Pedagógica, Avenida Eduardo Mondlane, CP 2107, Maputo, Mozambique
| | - Sandra Beleza
- University of Leicester, Department of Genetics & Genome Biology, University Road, Leicester, LE1 7RH, UK.
| |
Collapse
|
10
|
Harris DN, Platt A, Hansen MEB, Fan S, McQuillan MA, Nyambo T, Mpoloka SW, Mokone GG, Belay G, Fokunang C, Njamnshi AK, Tishkoff SA. Diverse African genomes reveal selection on ancient modern human introgressions in Neanderthals. Curr Biol 2023; 33:4905-4916.e5. [PMID: 37837965 PMCID: PMC10841429 DOI: 10.1016/j.cub.2023.09.066] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 07/18/2023] [Accepted: 09/26/2023] [Indexed: 10/16/2023]
Abstract
Comparisons of Neanderthal genomes to anatomically modern human (AMH) genomes show a history of Neanderthal-to-AMH introgression stemming from interbreeding after the migration of AMHs from Africa to Eurasia. All non-sub-Saharan African AMHs have genomic regions genetically similar to Neanderthals that descend from this introgression. Regions of the genome with Neanderthal similarities have also been identified in sub-Saharan African populations, but their origins have been unclear. To better understand how these regions are distributed across sub-Saharan Africa, the source of their origin, and what their distribution within the genome tells us about early AMH and Neanderthal evolution, we analyzed a dataset of high-coverage, whole-genome sequences from 180 individuals from 12 diverse sub-Saharan African populations. In sub-Saharan African populations with non-sub-Saharan African ancestry, as much as 1% of their genomes can be attributed to Neanderthal sequence introduced by recent migration, and subsequent admixture, of AMH populations originating from the Levant and North Africa. However, most Neanderthal homologous regions in sub-Saharan African populations originate from migration of AMH populations from Africa to Eurasia ∼250 kya, and subsequent admixture with Neanderthals, resulting in ∼6% AMH ancestry in Neanderthals. These results indicate that there have been multiple migration events of AMHs out of Africa and that Neanderthal and AMH gene flow has been bi-directional. Observing that genomic regions where AMHs show a depletion of Neanderthal introgression are also regions where Neanderthal genomes show a depletion of AMH introgression points to deleterious interactions between introgressed variants and background genomes in both groups-a hallmark of incipient speciation.
Collapse
Affiliation(s)
- Daniel N Harris
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alexander Platt
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew E B Hansen
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Shaohua Fan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai 200438, China
| | - Michael A McQuillan
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Thomas Nyambo
- Department of Biochemistry and Molecular Biology, Hubert Kairuki Memorial University, Dar es Salaam, Tanzania
| | - Sununguko Wata Mpoloka
- Department of Biological Sciences, Faculty of Science, University of Botswana, Private Bag UB 0022, Gaborone, Botswana
| | - Gaonyadiwe George Mokone
- Department of Biomedical Sciences, Faculty of Medicine, University of Botswana, Private Bag UB 0022, Gaborone, Botswana
| | - Gurja Belay
- Department of Microbial Cellular and Molecular Biology, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia
| | - Charles Fokunang
- Department of Pharmacotoxicology and Pharmacokinetics, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, P.O. Box 337, Yaoundé, Cameroon
| | - Alfred K Njamnshi
- Brain Research Africa Initiative (BRAIN), P.O. Box 25625, Yaoundé, Cameroon; Neuroscience Lab, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Sarah A Tishkoff
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
| |
Collapse
|
11
|
Belachew EB, Desta AF, Gebremariam TY, Deneke DB, Ashenafi S, Yeshi MM, Fenta BD, Alem AT, Alemu A, Abafogi AK, Desta T, Chanyalew M, Beshah D, Taylor L, Bauer M, Tsehay D, Girma S, Melka DS, Tessema TS, Kantelhardt EJ, Howe R. Immunohistochemistry-derived subtypes of breast cancer distribution in four regions of Ethiopia. Front Endocrinol (Lausanne) 2023; 14:1250189. [PMID: 38027092 PMCID: PMC10666628 DOI: 10.3389/fendo.2023.1250189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose Different biological characteristics, therapeutic responses, and disease-specific outcomes are associated with different molecular subtypes of breast cancer (BC). Although there have been different studies on BC in the Ethiopian capital city of Addis Ababa, there have been few studies in other parts of the nation, and none have evaluated biological characteristics in other locations in the context of the extensive ethnic and genetic diversity found in Ethiopia. This study was carried out to evaluate the distribution of immunohistochemistry (IHC) subtypes of BCs throughout four Ethiopian regions. Methods A total of 227 formalin-fixed paraffin-embedded (FFPE) tissue blocks were collected from tertiary hospitals in four Ethiopian regions between 2015 and 2021. The IHC staining was performed for subtyping, ER, PR, HER2, and Ki-67 proliferation markers. Results The mean age at diagnosis was 43.9 years. The percentage of ER and PR-negative tumors were 48.3% and 53.2%, respectively. The IHC subtypes showed the following distribution: 33.1% triple-negative breast cancer (TNBC), 27.6% luminal B, 25.2% luminal A, and 14.1% HER2 enriched. In multiple logistic regression analysis, grade III and HER2 positivity were associated with larger tumor size, and also originating from Jimma compared to Mekele. Conclusion Patients with ER-negative, PR-negative, and TNBC were found in 48.3%, 53.2%, and 33.1% of cases, respectively, showing that half the patients could potentially benefit from endocrine treatment. A considerably high prevalence of TNBC was reported in our study, demanding additional research that includes genetic predisposition factors. Additionally, aggressive tumors were found in a high percentage of younger age groups, which must be considered when planning personalized treatment strategies.
Collapse
Affiliation(s)
- Esmael Besufikad Belachew
- Biology Department, College of Natural and Computational Sciences, Mizan Tepi University, Mizan, Ethiopia
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Adey Feleke Desta
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Tewodros Yalew Gebremariam
- Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital and Addis Ababa University, Addis Ababa, Ethiopia
| | - Dinikisira Bekele Deneke
- Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital and Addis Ababa University, Addis Ababa, Ethiopia
| | - Senait Ashenafi
- Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital and Addis Ababa University, Addis Ababa, Ethiopia
| | - Melisachew Mulatu Yeshi
- Department of Pathology, School of Medicine, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | | | | | - Addisu Alemu
- College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Abdo Kedir Abafogi
- Pathology Department, Jimma University Specialized Hospital, Jimma, Ethiopia
| | - Tigist Desta
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Menberework Chanyalew
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Daniel Beshah
- Department of Diagnostic Laboratory, Tikur Anbessa Specialized Hospital, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Lesley Taylor
- City of Hope National Medical Center, Duarte, CA, United States
| | - Marcus Bauer
- Global Health Working Group, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Institute of Pathology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Dareskedar Tsehay
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Selfu Girma
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Daniel Seifu Melka
- Department of Biochemistry, Division of Basic Sciences, University of Global Health Equity, Kigali, Rwanda
| | | | - Eva J. Kantelhardt
- Department of Gynecology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Institute of Medical Epidemiology, Biostatistics and Informatics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Rawleigh Howe
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| |
Collapse
|
12
|
Hammarén R, Goldstein ST, Schlebusch CM. Eurasian back-migration into Northeast Africa was a complex and multifaceted process. PLoS One 2023; 18:e0290423. [PMID: 37939042 PMCID: PMC10631636 DOI: 10.1371/journal.pone.0290423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 08/08/2023] [Indexed: 11/10/2023] Open
Abstract
Recent studies have identified Northeast Africa as an important area for human movements during the Holocene. Eurasian populations have moved back into Northeastern Africa and contributed to the genetic composition of its people. By gathering the largest reference dataset to date of Northeast, North, and East African as well as Middle Eastern populations, we give new depth to our knowledge of Northeast African demographic history. By employing local ancestry methods, we isolated the Non-African parts of modern-day Northeast African genomes and identified the best putative source populations. Egyptians and Sudanese Copts bore most similarities to Levantine populations whilst other populations in the region generally had predominantly genetic contributions from the Arabian peninsula rather than Levantine populations for their Non-African genetic component. We also date admixture events and investigated which factors influenced the date of admixture and find that major linguistic families were associated with the date of Eurasian admixture. Taken as a whole we detect complex patterns of admixture and diverse origins of Eurasian admixture in Northeast African populations of today.
Collapse
Affiliation(s)
- Rickard Hammarén
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany
| | - Steven T. Goldstein
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany
| | - Carina M. Schlebusch
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa
- SciLifeLab, Uppsala, Sweden
| |
Collapse
|
13
|
Pless E, Eckburg AM, Henn BM. Predicting Environmental and Ecological Drivers of Human Population Structure. Mol Biol Evol 2023; 40:msad094. [PMID: 37146165 PMCID: PMC10172848 DOI: 10.1093/molbev/msad094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 03/30/2023] [Accepted: 04/03/2023] [Indexed: 05/07/2023] Open
Abstract
Landscape, climate, and culture can all structure human populations, but few existing methods are designed to simultaneously disentangle among a large number of variables in explaining genetic patterns. We developed a machine learning method for identifying the variables which best explain migration rates, as measured by the coalescent-based program MAPS that uses shared identical by descent tracts to infer spatial migration across a region of interest. We applied our method to 30 human populations in eastern Africa with high-density single nucleotide polymorphism array data. The remarkable diversity of ethnicities, languages, and environments in this region offers a unique opportunity to explore the variables that shape migration and genetic structure. We explored more than 20 spatial variables relating to landscape, climate, and presence of tsetse flies. The full model explained ∼40% of the variance in migration rate over the past 56 generations. Precipitation, minimum temperature of the coldest month, and elevation were the variables with the highest impact. Among the three groups of tsetse flies, the most impactful was fusca which transmits livestock trypanosomiasis. We also tested for adaptation to high elevation among Ethiopian populations. We did not identify well-known genes related to high elevation, but we did find signatures of positive selection related to metabolism and disease. We conclude that the environment has influenced the migration and adaptation of human populations in eastern Africa; the remaining variance in structure is likely due in part to cultural or other factors not captured in our model.
Collapse
Affiliation(s)
- Evlyn Pless
- Department of Anthropology, Center for Population Biology, University of California, Davis, CA
| | - Anders M Eckburg
- Department of Anthropology, Center for Population Biology, University of California, Davis, CA
| | - Brenna M Henn
- Department of Anthropology, Center for Population Biology, University of California, Davis, CA
- UC Davis Genome Center, University of California, Davis, CA
| |
Collapse
|
14
|
Bird N, Ormond L, Awah P, Caldwell EF, Connell B, Elamin M, Fadlelmola FM, Matthew Fomine FL, López S, MacEachern S, Moñino Y, Morris S, Näsänen-Gilmore P, Nketsia V NK, Veeramah K, Weale ME, Zeitlyn D, Thomas MG, Bradman N, Hellenthal G. Dense sampling of ethnic groups within African countries reveals fine-scale genetic structure and extensive historical admixture. SCIENCE ADVANCES 2023; 9:eabq2616. [PMID: 36989356 PMCID: PMC10058250 DOI: 10.1126/sciadv.abq2616] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 02/27/2023] [Indexed: 06/19/2023]
Abstract
Previous studies have highlighted how African genomes have been shaped by a complex series of historical events. Despite this, genome-wide data have only been obtained from a small proportion of present-day ethnolinguistic groups. By analyzing new autosomal genetic variation data of 1333 individuals from over 150 ethnic groups from Cameroon, Republic of the Congo, Ghana, Nigeria, and Sudan, we demonstrate a previously underappreciated fine-scale level of genetic structure within these countries, for example, correlating with historical polities in western Cameroon. By comparing genetic variation patterns among populations, we infer that many northern Cameroonian and Sudanese groups share genetic links with multiple geographically disparate populations, likely resulting from long-distance migrations. In Ghana and Nigeria, we infer signatures of intermixing dated to over 2000 years ago, corresponding to reports of environmental transformations possibly related to climate change. We also infer recent intermixing signals in multiple African populations, including Congolese, that likely relate to the expansions of Bantu language-speaking peoples.
Collapse
Affiliation(s)
- Nancy Bird
- Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London, London, UK
| | - Louise Ormond
- Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London, London, UK
| | - Paschal Awah
- Faculty of Arts, Letters and Social Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | | | - Bruce Connell
- Linguistics and Language Studies Program, York University, Toronto, Ontario, Canada
| | | | - Faisal M. Fadlelmola
- Kush Centre for Genomics and Biomedical Informatics, Biotechnology Perspectives Organisation, Khartoum, Sudan
| | | | | | - Scott MacEachern
- Division of Social Science, Duke Kunshan University, Kunshan, China
| | | | - Sam Morris
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pieta Näsänen-Gilmore
- Tampere Centre for Child, Adolescent and Maternal Health Research: Global Health Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department for Health Promotion, Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | - Krishna Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA
| | | | - David Zeitlyn
- School of Anthropology and Museum Ethnography, University of Oxford, Oxford, UK
| | - Mark G. Thomas
- Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London, London, UK
| | | | - Garrett Hellenthal
- Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London, London, UK
| |
Collapse
|
15
|
Atkinson EG, Dalvie S, Pichkar Y, Kalungi A, Majara L, Stevenson A, Abebe T, Akena D, Alemayehu M, Ashaba FK, Atwoli L, Baker M, Chibnik LB, Creanza N, Daly MJ, Fekadu A, Gelaye B, Gichuru S, Injera WE, James R, Kariuki SM, Kigen G, Koen N, Koenen KC, Koenig Z, Kwobah E, Kyebuzibwa J, Musinguzi H, Mwema RM, Neale BM, Newman CP, Newton CRJC, Ongeri L, Ramachandran S, Ramesar R, Shiferaw W, Stein DJ, Stroud RE, Teferra S, Yohannes MT, Zingela Z, Martin AR. Genetic structure correlates with ethnolinguistic diversity in eastern and southern Africa. Am J Hum Genet 2022; 109:1667-1679. [PMID: 36055213 PMCID: PMC9502052 DOI: 10.1016/j.ajhg.2022.07.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 07/28/2022] [Indexed: 12/22/2022] Open
Abstract
African populations are the most diverse in the world yet are sorely underrepresented in medical genetics research. Here, we examine the structure of African populations using genetic and comprehensive multi-generational ethnolinguistic data from the Neuropsychiatric Genetics of African Populations-Psychosis study (NeuroGAP-Psychosis) consisting of 900 individuals from Ethiopia, Kenya, South Africa, and Uganda. We find that self-reported language classifications meaningfully tag underlying genetic variation that would be missed with consideration of geography alone, highlighting the importance of culture in shaping genetic diversity. Leveraging our uniquely rich multi-generational ethnolinguistic metadata, we track language transmission through the pedigree, observing the disappearance of several languages in our cohort as well as notable shifts in frequency over three generations. We find suggestive evidence for the rate of language transmission in matrilineal groups having been higher than that for patrilineal ones. We highlight both the diversity of variation within Africa as well as how within-Africa variation can be informative for broader variant interpretation; many variants that are rare elsewhere are common in parts of Africa. The work presented here improves the understanding of the spectrum of genetic variation in African populations and highlights the enormous and complex genetic and ethnolinguistic diversity across Africa.
Collapse
Affiliation(s)
- Elizabeth G Atkinson
- Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Shareefa Dalvie
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Yakov Pichkar
- Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN, USA
| | - Allan Kalungi
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda; Mental Health Section of MRC/UVRI & LSHTM Uganda Research Unit, Entebbe, Uganda
| | - Lerato Majara
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; South African Medical Research Council (SAMRC) Human Genetics Research Unit, Division of Human Genetics, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Anne Stevenson
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Tamrat Abebe
- Department of Microbiology, Immunology, and Parasitology, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Dickens Akena
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Melkam Alemayehu
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Fred K Ashaba
- Department of Immunology & Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Lukoye Atwoli
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya; Brain and Mind Institute and Department of Internal Medicine, Medical College East Africa, the Aga Khan University, Nairobi, Kenya
| | - Mark Baker
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lori B Chibnik
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Nicole Creanza
- Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN, USA
| | - Mark J Daly
- Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Abebaw Fekadu
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia; Centre for Innovative Drug Development & Therapeutic Trials for Africa, Addis Ababa University, Addis Ababa, Ethiopia
| | - Bizu Gelaye
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Stella Gichuru
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Wilfred E Injera
- Department of Immunology, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Roxanne James
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Symon M Kariuki
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Gabriel Kigen
- Department of Pharmacology and Toxicology, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Nastassja Koen
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Karestan C Koenen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Zan Koenig
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edith Kwobah
- Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya
| | - Joseph Kyebuzibwa
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Henry Musinguzi
- Department of Immunology & Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rehema M Mwema
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Carter P Newman
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Charles R J C Newton
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Linnet Ongeri
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya
| | - Sohini Ramachandran
- Department of Ecology and Evolutionary Biology and Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Raj Ramesar
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Welelta Shiferaw
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Rocky E Stroud
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Solomon Teferra
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Mary T Yohannes
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zukiswa Zingela
- Executive Dean's Office, Faculty of Health Sciences, Nelson Mandela University, Port Elizabeth, South Africa
| | - Alicia R Martin
- Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | |
Collapse
|
16
|
Wangkumhang P, Greenfield M, Hellenthal G. An efficient method to identify, date, and describe admixture events using haplotype information. Genome Res 2022; 32:1553-1564. [PMID: 35794007 PMCID: PMC9435750 DOI: 10.1101/gr.275994.121] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 06/28/2022] [Indexed: 11/24/2022]
Abstract
We present fastGLOBETROTTER, an efficient new haplotype-based technique to identify, date, and describe admixture events using genome-wide autosomal data. With simulations, we show how fastGLOBETROTTER reduces computation time by an order of magnitude relative to the related technique GLOBETROTTER without suffering loss of accuracy. We apply fastGLOBETROTTER to a cohort of more than 6000 Europeans from 10 countries, revealing previously unreported admixture signals. In particular, we infer multiple periods of admixture related to East Asian or Siberian-like sources, starting >2000 yr ago, in people living in countries north of the Baltic Sea. In contrast, we infer admixture related to West Asian, North African, and/or Southern European sources in populations south of the Baltic Sea, including admixture dated to ∼300-700 CE, overlapping the fall of the Roman Empire, in people from Belgium, France, and parts of Germany. Our new approach scales to analyzing hundreds to thousands of individuals from a putatively admixed population and, hence, is applicable to emerging large-scale cohorts of genetically homogeneous populations.
Collapse
Affiliation(s)
- Pongsakorn Wangkumhang
- University College London Genetics Institute (UGI), Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, United Kingdom
- National Biobank of Thailand, National Science and Technology Development Agency, Pathum Thani 12120, Thailand
| | - Matthew Greenfield
- University College London Genetics Institute (UGI), Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, United Kingdom
| | - Garrett Hellenthal
- University College London Genetics Institute (UGI), Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, United Kingdom
| |
Collapse
|
17
|
Vellani V, Garrett N, Gaule A, Patil KR, Sharot T. Quantifying the heritability of belief formation. Sci Rep 2022; 12:11833. [PMID: 35821231 PMCID: PMC9276818 DOI: 10.1038/s41598-022-15492-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 06/24/2022] [Indexed: 11/09/2022] Open
Abstract
Individual differences in behaviour, traits and mental-health are partially heritable. Traditionally, studies have focused on quantifying the heritability of high-order characteristics, such as happiness or education attainment. Here, we quantify the degree of heritability of lower-level mental processes that likely contribute to complex traits and behaviour. In particular, we quantify the degree of heritability of cognitive and affective factors that contribute to the generation of beliefs about risk, which drive behavior in domains ranging from finance to health. Monozygotic and dizygotic twin pairs completed a belief formation task. We first show that beliefs about risk are associated with vividness of imagination, affective evaluation and learning abilities. We then demonstrate that the genetic contribution to individual differences in these processes range between 13.5 and 39%, with affect evaluation showing a particular robust heritability component. These results provide clues to which mental factors may be driving the heritability component of beliefs formation, which in turn contribute to the heritability of complex traits.
Collapse
Affiliation(s)
- Valentina Vellani
- Affective Brain Lab, Department of Experimental Psychology, University College London, London, WC1H 0AP, UK.
- The Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, WC1B 5EH, UK.
| | - Neil Garrett
- School of Psychology, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - Anne Gaule
- Developmental Risk and Resilience Unit, Department of Experimental Psychology, University College London, London, WC1H 0AP, UK
| | - Kaustubh R Patil
- Institute of Neuroscience and Medicine (INM-7), Forschungszentrum Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Tali Sharot
- Affective Brain Lab, Department of Experimental Psychology, University College London, London, WC1H 0AP, UK.
- The Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, WC1B 5EH, UK.
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
| |
Collapse
|
18
|
Oill AMT, Handley C, Howell EK, Stone AC, Mathew S, Wilson MA. Genomic analysis reveals geography rather than culture as the predominant factor shaping genetic variation in northern Kenyan human populations. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2022; 178:488-503. [PMID: 36790743 PMCID: PMC9949739 DOI: 10.1002/ajpa.24521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 02/04/2022] [Accepted: 02/21/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVES The aim of this study was to characterize the genetic relationships within and among four neighboring ethnolinguistic groups in northern Kenya in light of cultural relationships to understand the extent to which geography and culture shape patterns of genetic variation. MATERIALS AND METHODS We collected DNA and demographic information pertaining to aspects of social identity and heritage from 572 individuals across the Turkana, Samburu, Waso Borana, and Rendille of northern Kenya. We sampled individuals across a total of nine clans from these four groups and, additionally, three territorial sections within the Turkana and successfully genotyped 376 individuals. RESULTS Here we report that geography predominately shapes genetic variation within and among human groups in northern Kenya. We observed a clinal pattern of genetic variation that mirrors the overall geographic distribution of the individuals we sampled. We also found relatively higher rates of intermarriage between the Rendille and Samburu and evidence of gene flow between them that reflect these higher rates of intermarriage. Among the Turkana, we observed strong recent genetic substructuring based on territorial section affiliation. Within ethnolinguistic groups, we found that Y chromosome haplotypes do not consistently cluster by natal clan affiliation. Finally, we found that sampled populations that are geographically closer have lower genetic differentiation, and that cultural similarity does not predict genetic similarity as a whole across these northern Kenyan populations. DISCUSSION Overall, the results from this study highlight the importance of geography, even on a local geographic scale, in shaping observed patterns of genetic variation in human populations.
Collapse
Affiliation(s)
- Angela M. Taravella Oill
- School of Life Sciences, Arizona State University, Tempe, AZ 85287 USA,Center for Evolution and Medicine, Arizona State University, Tempe, AZ 85287 USA
| | - Carla Handley
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287 USA
| | - Emma K. Howell
- School of Life Sciences, Arizona State University, Tempe, AZ 85287 USA,Center for Evolution and Medicine, Arizona State University, Tempe, AZ 85287 USA
| | - Anne C. Stone
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ 85287 USA,School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287 USA,Institute of Human Origins, Arizona State University, Tempe, AZ 85287, USA
| | - Sarah Mathew
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287 USA,Institute of Human Origins, Arizona State University, Tempe, AZ 85287, USA,Co-corresponding authors
| | - Melissa A. Wilson
- School of Life Sciences, Arizona State University, Tempe, AZ 85287 USA,Center for Evolution and Medicine, Arizona State University, Tempe, AZ 85287 USA,Co-corresponding authors
| |
Collapse
|
19
|
Gopalan S, Berl REW, Myrick JW, Garfield ZH, Reynolds AW, Bafens BK, Belbin G, Mastoras M, Williams C, Daya M, Negash AN, Feldman MW, Hewlett BS, Henn BM. Hunter-gatherer genomes reveal diverse demographic trajectories during the rise of farming in Eastern Africa. Curr Biol 2022; 32:1852-1860.e5. [PMID: 35271793 PMCID: PMC9050894 DOI: 10.1016/j.cub.2022.02.050] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 05/12/2021] [Accepted: 02/16/2022] [Indexed: 12/31/2022]
Abstract
The fate of hunting and gathering populations following the rise of agriculture and pastoralism remains a topic of debate in the study of human prehistory. Studies of ancient and modern genomes have found that autochthonous groups were largely replaced by expanding farmer populations with varying levels of gene flow, a characterization that is influenced by the almost universal focus on the European Neolithic.1-5 We sought to understand the demographic impact of an ongoing cultural transition to farming in Southwest Ethiopia, one of the last regions in Africa to experience such shifts.6 Importantly, Southwest Ethiopia is home to several of the world's remaining hunter-gatherer groups, including the Chabu people, who are currently transitioning away from their traditional mode of subsistence.7 We generated genome-wide data from the Chabu and four neighboring populations, the Majang, Shekkacho, Bench, and Sheko, to characterize their genetic ancestry and estimate their effective population sizes over the last 60 generations. We show that the Chabu are a distinct population closely related to ancient people who occupied Southwest Ethiopia >4,500 years ago. Furthermore, the Chabu are undergoing a severe population bottleneck, which began approximately 1,400 years ago. By analyzing eleven Eastern African populations, we find evidence for divergent demographic trajectories among hunter-gatherer-descendant groups. Our results illustrate that although foragers respond to encroaching agriculture and pastoralism with multiple strategies, including cultural adoption of agropastoralism, gene flow, and economic specialization, they often face population decline.
Collapse
Affiliation(s)
- Shyamalika Gopalan
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794, USA; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Richard E W Berl
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA; Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA
| | - Justin W Myrick
- Department of Anthropology, University of California, Davis, Davis, CA 95616, USA; UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Zachary H Garfield
- Department of Anthropology, Washington State University, Vancouver, WA 98686, USA; Institute for Advanced Study in Toulouse, Université Toulouse, Toulouse 31080, France
| | - Austin W Reynolds
- Department of Anthropology, University of California, Davis, Davis, CA 95616, USA; Department of Anthropology, Baylor University, Waco, TX 76798, USA
| | - Barnabas K Bafens
- Diaspora and Protocol Affairs Office, Bench Sheko Zone Administration, Mizan, Ethiopia
| | - Gillian Belbin
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mira Mastoras
- UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Cole Williams
- Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Michelle Daya
- Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Akmel N Negash
- Department of Anthropology, Hawassa University, Hawassa, SNNPR, Ethiopia
| | - Marcus W Feldman
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Barry S Hewlett
- Department of Anthropology, Washington State University, Vancouver, WA 98686, USA.
| | - Brenna M Henn
- Department of Anthropology, University of California, Davis, Davis, CA 95616, USA; UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA.
| |
Collapse
|
20
|
Liu Z, Roberts R, Mercer TR, Xu J, Sedlazeck FJ, Tong W. Towards accurate and reliable resolution of structural variants for clinical diagnosis. Genome Biol 2022; 23:68. [PMID: 35241127 PMCID: PMC8892125 DOI: 10.1186/s13059-022-02636-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 02/15/2022] [Indexed: 12/17/2022] Open
Abstract
Structural variants (SVs) are a major source of human genetic diversity and have been associated with different diseases and phenotypes. The detection of SVs is difficult, and a diverse range of detection methods and data analysis protocols has been developed. This difficulty and diversity make the detection of SVs for clinical applications challenging and requires a framework to ensure accuracy and reproducibility. Here, we discuss current developments in the diagnosis of SVs and propose a roadmap for the accurate and reproducible detection of SVs that includes case studies provided from the FDA-led SEquencing Quality Control Phase II (SEQC-II) and other consortium efforts.
Collapse
Affiliation(s)
- Zhichao Liu
- National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Ruth Roberts
- ApconiX, BioHub at Alderley Park, Alderley Edge, SK10 4TG, UK
- University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Timothy R Mercer
- Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD, Australia
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Joshua Xu
- National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Weida Tong
- National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, 72079, USA.
| |
Collapse
|
21
|
A reference database of forensic autosomal and gonosomal STR markers in the Tigray population of Ethiopia. Forensic Sci Int Genet 2021; 56:102618. [PMID: 34735940 DOI: 10.1016/j.fsigen.2021.102618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/31/2021] [Accepted: 10/20/2021] [Indexed: 11/20/2022]
Abstract
Allele frequencies of 21 autosomal STR markers (AmpF/STR GlobalFiler) and haplotype frequencies of 27 Y- and 12 X-STR markers (AmpF/STR YFiler Plus and Investigator Argus X-12, respectively) were investigated in the Tigray population of Ethiopia, representing the main population group in the Tigray regional state of Ethiopia and neighboring Eritrea. For autosomal STR allele frequencies, the average random match probability in the Tigray sample was 2.1 × 10-27. The average locus by locus FST distance calculated comparing autosomal STR allele frequencies from Tigray and from a broad regional reference dataset currently available for the Horn of Africa was 0.003. The Tigray male sample displayed high Y-STR diversity, with complete individualization of haplotypes using the AmpF/STR YFiler Plus panel. Analysis of molecular variance did not detect significant heterogeneity between Y-STR haplotypes observed in the present study and those previously reported in the literature for other Tigray population samples from Ethiopia and Eritrea. Study of the X-STR landscape in Tigray evidenced several distinctive features including: the molecular characterization of a novel null allele at locus DXS10146 with frequency > 1%; allele dependency between loci within linkage groups I and III; significant differences in haplotype distribution compared to other Horn of Africa populations, that should be taken into account in kinship analysis. The collected data can be used as a reference STR database by local forensic genetics services and in genetic identification procedures of victims of human trafficking in the Mediterranean Sea, which frequently involve individuals originating from the Horn of Africa.
Collapse
|