1
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Usoltsev D, Kolosov N, Rotar O, Loboda A, Boyarinova M, Moguchaya E, Kolesova E, Erina A, Tolkunova K, Rezapova V, Molotkov I, Melnik O, Freylikhman O, Paskar N, Alieva A, Baranova E, Bazhenova E, Beliaeva O, Vasilyeva E, Kibkalo S, Skitchenko R, Babenko A, Sergushichev A, Dushina A, Lopina E, Basyrova I, Libis R, Duplyakov D, Cherepanova N, Donner K, Laiho P, Kostareva A, Konradi A, Shlyakhto E, Palotie A, Daly MJ, Artomov M. Complex trait susceptibilities and population diversity in a sample of 4,145 Russians. Nat Commun 2024; 15:6212. [PMID: 39043636 PMCID: PMC11266540 DOI: 10.1038/s41467-024-50304-1] [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: 03/27/2023] [Accepted: 07/02/2024] [Indexed: 07/25/2024] Open
Abstract
The population of Russia consists of more than 150 local ethnicities. The ethnic diversity and geographic origins, which extend from eastern Europe to Asia, make the population uniquely positioned to investigate the shared properties of inherited disease risks between European and Asian ancestries. We present the analysis of genetic and phenotypic data from a cohort of 4,145 individuals collected in three metro areas in western Russia. We show the presence of multiple admixed genetic ancestry clusters spanning from primarily European to Asian and high identity-by-descent sharing with the Finnish population. As a result, there was notable enrichment of Finnish-specific variants in Russia. We illustrate the utility of Russian-descent cohorts for discovery of novel population-specific genetic associations, as well as replication of previously identified associations that were thought to be population-specific in other cohorts. Finally, we provide access to a database of allele frequencies and GWAS results for 464 phenotypes.
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Affiliation(s)
- Dmitrii Usoltsev
- Almazov National Medical Research Centre, St Petersburg, Russia
- ITMO University, St Petersburg, Russia
- Broad Institute, Cambridge, MA, USA
- The Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Nikita Kolosov
- Almazov National Medical Research Centre, St Petersburg, Russia
- ITMO University, St Petersburg, Russia
- Broad Institute, Cambridge, MA, USA
- The Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Oxana Rotar
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - Alexander Loboda
- Almazov National Medical Research Centre, St Petersburg, Russia
- ITMO University, St Petersburg, Russia
- Broad Institute, Cambridge, MA, USA
| | | | | | | | - Anastasia Erina
- Almazov National Medical Research Centre, St Petersburg, Russia
| | | | - Valeriia Rezapova
- Almazov National Medical Research Centre, St Petersburg, Russia
- ITMO University, St Petersburg, Russia
- Broad Institute, Cambridge, MA, USA
| | - Ivan Molotkov
- The Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Olesya Melnik
- Almazov National Medical Research Centre, St Petersburg, Russia
| | | | - Nadezhda Paskar
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - Asiiat Alieva
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - Elena Baranova
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - Elena Bazhenova
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - Olga Beliaeva
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - Elena Vasilyeva
- Almazov National Medical Research Centre, St Petersburg, Russia
| | - Sofia Kibkalo
- Almazov National Medical Research Centre, St Petersburg, Russia
| | | | - Alina Babenko
- Almazov National Medical Research Centre, St Petersburg, Russia
| | | | | | | | | | - Roman Libis
- Orenburg State Medical University, Orenburg, Russia
| | - Dmitrii Duplyakov
- Samara State Medical University, Samara, Russia
- Samara Regional Cardiology Dispensary, Samara, Russia
| | | | - Kati Donner
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Paivi Laiho
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Anna Kostareva
- Almazov National Medical Research Centre, St Petersburg, Russia
- ITMO University, St Petersburg, Russia
| | - Alexandra Konradi
- Almazov National Medical Research Centre, St Petersburg, Russia
- ITMO University, St Petersburg, Russia
| | | | - Aarno Palotie
- Broad Institute, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Mark J Daly
- Broad Institute, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Mykyta Artomov
- Almazov National Medical Research Centre, St Petersburg, Russia.
- ITMO University, St Petersburg, Russia.
- Broad Institute, Cambridge, MA, USA.
- The Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA.
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA.
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
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2
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Misek SA, Fultineer A, Kalfon J, Noorbakhsh J, Boyle I, Roy P, Dempster J, Petronio L, Huang K, Saadat A, Green T, Brown A, Doench JG, Root DE, McFarland JM, Beroukhim R, Boehm JS. Germline variation contributes to false negatives in CRISPR-based experiments with varying burden across ancestries. Nat Commun 2024; 15:4892. [PMID: 38849329 PMCID: PMC11161638 DOI: 10.1038/s41467-024-48957-z] [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: 12/05/2023] [Accepted: 05/20/2024] [Indexed: 06/09/2024] Open
Abstract
Reducing disparities is vital for equitable access to precision treatments in cancer. Socioenvironmental factors are a major driver of disparities, but differences in genetic variation likely also contribute. The impact of genetic ancestry on prioritization of cancer targets in drug discovery pipelines has not been systematically explored due to the absence of pre-clinical data at the appropriate scale. Here, we analyze data from 611 genome-scale CRISPR/Cas9 viability experiments in human cell line models to identify ancestry-associated genetic dependencies essential for cell survival. Surprisingly, we find that most putative associations between ancestry and dependency arise from artifacts related to germline variants. Our analysis suggests that for 1.2-2.5% of guides, germline variants in sgRNA targeting sequences reduce cutting by the CRISPR/Cas9 nuclease, disproportionately affecting cell models derived from individuals of recent African descent. We propose three approaches to mitigate this experimental bias, enabling the scientific community to address these disparities.
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Affiliation(s)
- Sean A Misek
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Departments of Cancer Biology and Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Aaron Fultineer
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Jeremie Kalfon
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | | | - Isabella Boyle
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Priyanka Roy
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Joshua Dempster
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Lia Petronio
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Katherine Huang
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Alham Saadat
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Thomas Green
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Adam Brown
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - John G Doench
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - David E Root
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | | | - Rameen Beroukhim
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Departments of Cancer Biology and Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
| | - Jesse S Boehm
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA.
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3
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Trapani D, Girardi F, Cinieri S, Curigliano G. There is no such a thing as a ' biological' basis for cancer disparities: A call to end misreporting of the ultimate determinants of health outcomes. TUMORI JOURNAL 2024; 110:82-87. [PMID: 37688414 DOI: 10.1177/03008916231196369] [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] [Indexed: 09/10/2023]
Abstract
Improved strategies of cancer prevention and control have resulted in tangible benefits for patients with cancer. Disparities in outcome have been reported as a result of inequal access to health care. Historically, differences in health outcomes at population level have been reported according to key characteristics, including race, ethnicity and, more recently, ancestry. These population descriptors have been used to display the differences in the outcome and highlight actionable areas of health disparities, through policy and population health interventions. Yet, they have been commonly mis-intended as ultimate determinants of health outcomes, as recapitulating intrinsic biological differences. A plethora of past literature has described "biological" differences in patients belonging to a specific racial, ethnical or ancestral group, with certain cancers - commonly overlooking the social and economic contextures. The attention has ultimately focused on the existence of intrinsic differences and biological reasons, as opposed to social and economic determinants of disparities in the outcome in disadvantaged or excluded communities, thus nurturing double stigma. In our editorial, we evaluate some key roots of racial attitudes in displaying patient outcomes in oncology epidemiological studies, and call to report ultimate determinants of health - that are, primarily social and economic determinants.
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Affiliation(s)
- Dario Trapani
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Fabio Girardi
- Division of Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Saverio Cinieri
- Department of Medical Oncology, Perrino Hospital, ASL Brindisi, Brindisi, Italy
- Associazione Italiana di Oncologia Medica (AIOM), Milan, Italy (President)
| | - Giuseppe Curigliano
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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4
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King DE, Lalwani PD, Mercado GP, Dolan EL, Frierson JM, Meyer JN, Murphy SK. The use of race terms in epigenetics research: considerations moving forward. Front Genet 2024; 15:1348855. [PMID: 38356697 PMCID: PMC10864599 DOI: 10.3389/fgene.2024.1348855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 01/11/2024] [Indexed: 02/16/2024] Open
Abstract
The field of environmental epigenetics is uniquely suited to investigate biologic mechanisms that have the potential to link stressors to health disparities. However, it is common practice in basic epigenetic research to treat race as a covariable in large data analyses in a way that can perpetuate harmful biases without providing any biologic insight. In this article, we i) propose that epigenetic researchers open a dialogue about how and why race is employed in study designs and think critically about how this might perpetuate harmful biases; ii) call for interdisciplinary conversation and collaboration between epigeneticists and social scientists to promote the collection of more detailed social metrics, particularly institutional and structural metrics such as levels of discrimination that could improve our understanding of individual health outcomes; iii) encourage the development of standards and practices that promote full transparency about data collection methods, particularly with regard to race; and iv) encourage the field of epigenetics to continue to investigate how social structures contribute to biological health disparities, with a particular focus on the influence that structural racism may have in driving these health disparities.
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Affiliation(s)
- Dillon E. King
- Nicholas School of the Environment, Duke University, Durham, NC, United States
- Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, United States
| | - Pooja D. Lalwani
- Nicholas School of the Environment, Duke University, Durham, NC, United States
| | - Gilberto Padilla Mercado
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States
| | - Emma L. Dolan
- Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, United States
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, United States
| | - Johnna M. Frierson
- IDEALS Office, Duke University School of Medicine, Durham, NC, United States
| | - Joel N. Meyer
- Nicholas School of the Environment, Duke University, Durham, NC, United States
| | - Susan K. Murphy
- Nicholas School of the Environment, Duke University, Durham, NC, United States
- Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, United States
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5
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Guevara E, Gopalan S, Massey DJ, Adegboyega M, Zhou W, Solis A, Anaya AD, Churchill SE, Feldblum J, Lawler RR. Getting it right: Teaching undergraduate biology to undermine racial essentialism. Biol Methods Protoc 2023; 8:bpad032. [PMID: 38023347 PMCID: PMC10674104 DOI: 10.1093/biomethods/bpad032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/03/2023] [Accepted: 11/10/2023] [Indexed: 12/01/2023] Open
Abstract
How we teach human genetics matters for social equity. The biology curriculum appears to be a crucial locus of intervention for either reinforcing or undermining students' racial essentialist views. The Mendelian genetic models dominating textbooks, particularly in combination with racially inflected language sometimes used when teaching about monogenic disorders, can increase middle and high school students' racial essentialism and opposition to policies to increase equity. These findings are of particular concern given the increasing spread of racist misinformation online and the misappropriation of human genomics research by white supremacists, who take advantage of low levels of genetics literacy in the general public. Encouragingly, however, teaching updated information about the geographical distribution of human genetic variation and the complex, multifactorial basis of most human traits, reduces students' endorsement of racial essentialism. The genetics curriculum is therefore a key tool in combating misinformation and scientific racism. Here, we describe a framework and example teaching materials for teaching students key concepts in genetics, human evolutionary history, and human phenotypic variation at the undergraduate level. This framework can be flexibly applied in biology and anthropology classes and adjusted based on time availability. Our goal is to provide undergraduate-level instructors with varying levels of expertise with a set of evidence-informed tools for teaching human genetics to combat scientific racism, including an evolving set of instructional resources, as well as learning goals and pedagogical approaches. Resources can be found at https://noto.li/YIlhZ5. Additionally, we hope to generate conversation about integrating modern genetics into the undergraduate curriculum, in light of recent findings about the risks and opportunities associated with teaching genetics.
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Affiliation(s)
- Elaine Guevara
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Shyamalika Gopalan
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Dashiell J Massey
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Mayowa Adegboyega
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Wen Zhou
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
- Department of Evolutionary Anthropology, Duke Kunshan University, Kunshan, Jiangsu 215316, China
| | - Alma Solis
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Alisha D Anaya
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Steven E Churchill
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Joseph Feldblum
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Richard R Lawler
- Department of Sociology and Anthropology, James Madison University, Harrisonburg, Virginia 22807, United States
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6
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Gouveia MH, Bentley AR, Leal TP, Tarazona-Santos E, Bustamante CD, Adeyemo AA, Rotimi CN, Shriner D. Unappreciated subcontinental admixture in Europeans and European Americans and implications for genetic epidemiology studies. Nat Commun 2023; 14:6802. [PMID: 37935687 PMCID: PMC10630423 DOI: 10.1038/s41467-023-42491-0] [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: 03/16/2023] [Accepted: 10/12/2023] [Indexed: 11/09/2023] Open
Abstract
European-ancestry populations are recognized as stratified but not as admixed, implying that residual confounding by locus-specific ancestry can affect studies of association, polygenic adaptation, and polygenic risk scores. We integrate individual-level genome-wide data from ~19,000 European-ancestry individuals across 79 European populations and five European American cohorts. We generate a new reference panel that captures ancestral diversity missed by both the 1000 Genomes and Human Genome Diversity Projects. Both Europeans and European Americans are admixed at the subcontinental level, with admixture dates differing among subgroups of European Americans. After adjustment for both genome-wide and locus-specific ancestry, associations between a highly differentiated variant in LCT (rs4988235) and height or LDL-cholesterol were confirmed to be false positives whereas the association between LCT and body mass index was genuine. We provide formal evidence of subcontinental admixture in individuals with European ancestry, which, if not properly accounted for, can produce spurious results in genetic epidemiology studies.
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Affiliation(s)
- Mateus H Gouveia
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Thiago P Leal
- Department of Genomic Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44197, USA
| | - Eduardo Tarazona-Santos
- Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-910, Brazil
| | - Carlos D Bustamante
- Center for Computational, Evolutionary and Human Genomics (CEHG), Stanford University, Stanford, CA, 94305, USA
| | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
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7
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Shriner D, Bentley AR, Gouveia MH, Heuston EF, Doumatey AP, Chen G, Zhou J, Adeyemo A, Rotimi CN. Universal genome-wide association studies: Powerful joint ancestry and association testing. HGG ADVANCES 2023; 4:100235. [PMID: 37653728 PMCID: PMC10507155 DOI: 10.1016/j.xhgg.2023.100235] [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: 12/01/2022] [Revised: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 09/02/2023] Open
Abstract
The vast majority of human populations and individuals have mixed ancestry. Consequently, adjustment for locus-specific ancestry is essential for genetic association studies. To empower association studies for all populations, it is necessary to integrate effects of locus-specific ancestry and genotype. We developed a joint test of ancestry and association that can be performed with summary statistics, is independent of study design, can take advantage of locus-specific ancestry effects to boost power in association testing, and can utilize association effects to fine map admixture peaks. We illustrate the test using the association between serum triglycerides and LPL. By combining data from African Americans, European Americans, and West Africans, we identify three conditionally independent variants with varying amounts of ancestrally differentiated allele frequencies. Using out-of-sample data, we demonstrate improved prediction achievable by accounting for multiple causal variants and locus-specific ancestry effects at a single locus.
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Affiliation(s)
- Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Mateus H Gouveia
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Elisabeth F Heuston
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
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8
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Doumatey AP, Bentley AR, Akinyemi R, Olanrewaju TO, Adeyemo A, Rotimi C. Genes, environment, and African ancestry in cardiometabolic disorders. Trends Endocrinol Metab 2023; 34:601-621. [PMID: 37598069 PMCID: PMC10548552 DOI: 10.1016/j.tem.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/24/2023] [Accepted: 07/25/2023] [Indexed: 08/21/2023]
Abstract
The past two decades have been characterized by a substantial global increase in cardiometabolic diseases, but the prevalence and incidence of these diseases and related traits differ across populations. African ancestry populations are among the most affected yet least included in research. Populations of African descent manifest significant genetic and environmental diversity and this under-representation is a missed opportunity for discovery and could exacerbate existing health disparities and curtail equitable implementation of precision medicine. Here, we discuss cardiometabolic diseases and traits in the context of African descent populations, including both genetic and environmental contributors and emphasizing novel discoveries. We also review new initiatives to include more individuals of African descent in genomics to address current gaps in the field.
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Affiliation(s)
- Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Rufus Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training and Centre for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria; Department of Neurology, University College Hospital, Ibadan, Nigeria
| | - Timothy O Olanrewaju
- Division of Nephrology, Department of Medicine, University of Ilorin & University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Charles Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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9
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Török T. Integrating Linguistic, Archaeological and Genetic Perspectives Unfold the Origin of Ugrians. Genes (Basel) 2023; 14:1345. [PMID: 37510249 PMCID: PMC10379071 DOI: 10.3390/genes14071345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/20/2023] [Accepted: 06/24/2023] [Indexed: 07/30/2023] Open
Abstract
In the last year two publications shed new light on the linguistic and genomic history of ancient Uralic speakers. Here I show that these novel genetic and linguistic data are compatible with each-other and with the archaeological inferences, allowing us to formulate a very plausible hypothesis about the prehistory of Ugric speakers. Both genetic and archaeological data indicate the admixture of the Mezhovskaya population with northern forest hunters in the late Bronze Age, which gave rise to a "proto-Ugric" community. This finding is consistent with the linguistic reconstruction of the proto-Ugric language. Genetic data indicate an admixture of proto-Hungarians with early Sarmatians and early Huns, and I show that the first admixture can be reconciled with the formation of the Gorokhovo culture and its integration into the early Sarmatian Prokhorovka culture, while the second admixture corresponds to the transformation of the Sargat and Sarmatian cultures due to Xiongnu invasions.
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Affiliation(s)
- Tibor Török
- Department of Genetics, University of Szeged, H-6726 Szeged, Hungary
- Department of Archaeogenetics, Institute of Hungarian Research, H-1041 Budapest, Hungary
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10
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Rotimi CN. 2022 ASHG presidential address-One human race: Billions of genomes. Am J Hum Genet 2023; 110:398-401. [PMID: 36868199 PMCID: PMC10036743 DOI: 10.1016/j.ajhg.2023.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023] Open
Abstract
This article is based on the address given by the author at the 2022 meeting of The American Society of Human Genetics (ASHG) in Los Angeles, California. The video of the original address can be found at the ASHG website.
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11
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Dumont M, Hickman G, Hovnanian A, Bagot M, Bourrat E, Petit A. "African" acral keratoderma: Further evidence for a single entity. A retrospective study of 42 patients. Ann Dermatol Venereol 2023; 150:16-23. [PMID: 36424301 DOI: 10.1016/j.annder.2022.08.004] [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: 03/15/2022] [Revised: 05/17/2022] [Accepted: 08/30/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Several phenotypes of non-inflammatory palmar and plantar keratoderma (PPK) have been described in patients of Sub-Saharan African descent. They include keratosis punctata of the palmar creases, marginal keratoderma, also known as acrokeratoelastoidosis or focal acral hyperkeratosis, knuckle pads, other forms of diffuse hyperkeratosis, the very rare "mosaic acral keratosis", and ainhum. A previous survey has shown that these various forms of PPK are particularly frequent in patients of Sub-Saharan African descent and that they commonly occur concurrently, suggesting that they could form part of a single entity called "African" Acral Keratoderma (AAK). AIM To assess the validity of the concept of AAK and clarify its main characteristics. METHODS A retrospective, descriptive, monocenter study was carried out on patients with AAK seen at our institution between 2009 and 2020. RESULTS There were 42 patients (median age 38 years, range: 12-69 years), all of Sub-Saharan African descent. The male-female sex ratio was 0.3. Thirty-three (78%) had diffuse keratoderma, 25 (59%) had marginal keratoderma on their hands and/or feet, 20 (48%) had knuckle pads, 20 (48%) had keratosis punctata of the palmar creases, 3 had ainhum, and 2 had mosaic acral keratoderma. Mixed forms were seen in 76% of the patients (n = 32). Familial histories were reported by 17 patients (40%). Treatment was topical in over 90% of patients and systemic in 9 patients (21%). Ainhum was managed surgically. CONCLUSION This retrospective study provides additional evidence for the concept of AAK. A genetic origin is suggested by the familial aggregation of cases.
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Affiliation(s)
- M Dumont
- Department of Dermatology, APHP, Saint-Louis Hospital, 75010 Paris, France.
| | - G Hickman
- Department of Dermatology, APHP, Saint-Louis Hospital, 75010 Paris, France
| | - A Hovnanian
- INSERM UMR1163, Laboratory of Genetic Skin Diseases, Imagine Institute, 75015 Paris, France; Department of Genetics, Necker Hospital for Sick Children, 75015 Paris, France; University of Paris, 75006 Paris, France
| | - M Bagot
- Department of Dermatology, APHP, Saint-Louis Hospital, 75010 Paris, France; Department of Medicine, Université de Paris, 75010 Paris, France; INSERM U976, Human Immunology, Pathophysiology and Immunotherapy, Institut de Recherche Saint-Louis, 75010 Paris, France
| | - E Bourrat
- Department of Dermatology, APHP, Saint-Louis Hospital, 75010 Paris, France
| | - A Petit
- Department of Dermatology, APHP, Saint-Louis Hospital, 75010 Paris, France
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12
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Arrieta-Bolaños E, Hernández-Zaragoza DI, Barquera R. An HLA map of the world: A comparison of HLA frequencies in 200 worldwide populations reveals diverse patterns for class I and class II. Front Genet 2023; 14:866407. [PMID: 37035735 PMCID: PMC10076764 DOI: 10.3389/fgene.2023.866407] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 03/13/2023] [Indexed: 04/11/2023] Open
Abstract
HLA frequencies show widespread variation across human populations. Demographic factors as well as selection are thought to have shaped HLA variation across continents. In this study, a worldwide comparison of HLA class I and class II diversity was carried out. Multidimensional scaling techniques were applied to 50 HLA-A and HLA-B (class I) as well as 13 HLA-DRB1 (class II) first-field frequencies in 200 populations from all continents. Our results confirm a strong effect of geography on the distribution of HLA class I allele groups, with principal coordinates analysis closely resembling geographical location of populations, especially those of Africa-Eurasia. Conversely, class II frequencies stratify populations along a continuum of differentiation less clearly correlated to actual geographic location. Double clustering analysis revealed finer intra-continental sub-clusters (e.g., Northern and Western Europe vs. South East Europe, North Africa and Southwest Asia; South and East Africa vs. West Africa), and HLA allele group patterns characteristic of these clusters. Ancient (Austronesian expansion) and more recent (Romani people in Europe) migrations, as well as extreme differentiation (Taiwan indigenous peoples, Native Americans), and interregional gene flow (Sámi, Egyptians) are also reflected by the results. Barrier analysis comparing DST and geographic location identified genetic discontinuities caused by natural barriers or human behavior explaining inter and intra-continental HLA borders for class I and class II. Overall, a progressive reduction in HLA diversity from African to Oceanian and Native American populations is noted. This analysis of HLA frequencies in a unique set of worldwide populations confirms previous findings on the remarkable similarity of class I frequencies to geography, but also shows a more complex development for class II, with implications for both human evolutionary studies and biomedical research.
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Affiliation(s)
- Esteban Arrieta-Bolaños
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Heidelberg, Germany
- *Correspondence: Esteban Arrieta-Bolaños,
| | | | - Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
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13
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Mallah N, Zapata-Cachafeiro M, Aguirre C, Ibarra-García E, Palacios-Zabalza I, Macías-García F, Piñeiro-Lamas M, Ibáñez L, Vidal X, Vendrell L, Martin-Arias L, Sáinz-Gil M, Velasco-González V, Bacariza-Cortiñas M, Salgado A, Estany-Gestal A, Figueiras A. Synergism interaction between genetic polymorphisms in drug metabolizing enzymes and NSAIDs on upper gastrointestinal haemorrhage: a multicenter case-control study. Ann Med 2022; 54:379-392. [PMID: 35114859 PMCID: PMC8820810 DOI: 10.1080/07853890.2021.2016940] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Interindividual genetic variations contribute to differences in patients' response to drugs as well as to the development of certain disorders. Patients who use non-steroidal anti-inflammatory drugs (NSAIDs) may develop serious gastrointestinal disorders, mainly upper gastrointestinal haemorrhage (UGIH). Studies about the interaction between NSAIDs and genetic variations on the risk of UGIH are scarce. Therefore, we investigated the effect of 16 single nucleotide polymorphisms (SNPs) involved in drug metabolism on the risk of NSAIDs-induced UGIH. MATERIALS AND METHODS We conducted a multicenter case-control study of 326 cases and 748 controls. Participants were sub-grouped into four categories according to NSAID exposure and genetic profile. We estimated odds ratios (ORs) and their 95% confidence intervals (CI) using generalized linear mixed models for dependent binomial variables and then calculated the measures of interaction, synergism index (S), and relative excess risk due to interaction (RERI). We undertook stratified analyses by the type of NSAID (aspirin, non-aspirin). RESULTS We observed an excess risk of UGIH due to an interaction between any NSAID, non-aspirin NSAIDs or aspirin and carrying certain SNPs. The greatest excess risk was observed for carriers of: rs2180314:C>G [any NSAID: S = 3.30 (95%CI: 1.24-8.80), RERI = 4.39 (95%CI: 0.70-8.07); non-aspirin NSAIDs: S = 3.42 (95%CI: 1.12-10.47), RERI = 3.97 (95%CI: 0.44-7.50)], and rs4809957:A>G [any NSAID: S = 2.11 (95%CI: 0.90-4.97), RERI = 3.46 (95%CI: -0.40-7.31)]. Aspirin use by carriers of rs6664:C>T is also associated with increased risk of UGIH [ORaspirin(+),wild-type: 2.22 (95%CI: 0.69-7.17) vs. ORaspirin(+),genetic-variation: 7.72 (95%CI: 2.75-21.68)], yet larger sample size is needed to confirm this observation. CONCLUSIONS The joint effect of the SNPs s2180314:C>G and rs4809957:A>G and NSAIDs are more than three times higher than the sum of their individual effects. Personalized prescriptions based on genotyping would permit a better weighing of risks and benefits from NSAID consumption.KEY MESSAGESMulticenter case-control study of the effect of genetic variations involved in drug metabolism on upper gastrointestinal haemorrhage (UGIH) induced by NSAIDs (aspirin and non-aspirin).There is a statistically significant additive synergism interaction between certain genetic polymorphisms and NSAIDs on UGIH: rs2180314:C>G and rs4809957:A>G. The joint effect of each of these single nucleotide polymorphisms and NSAIDs on UGIH is more than three times higher than the sum of their individual effects.Genetic profiling and personalized prescriptions would be useful in managing the risks and benefits associated with NSAIDs.
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Affiliation(s)
- Narmeen Mallah
- Department of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.,WHO Collaborating Centre for Vaccine Safety, Santiago de Compostela, Spain.,Genetics, Vaccines and Pediatric Infectious Diseases Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Carlos III Health Institute, Madrid, Spain
| | - Maruxa Zapata-Cachafeiro
- Department of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Carlos III Health Institute, Madrid, Spain
| | - Carmelo Aguirre
- Pharmacotherapy Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain.,Basque Country Pharmacovigilance Unit, University Hospital of Galdakao-Usansolo, Osakidetza, Spain.,Pharmacology Department, Medicine and Nursing Faculty, University of the Basque Country, Barakaldo, Spain
| | - Eguzkiñe Ibarra-García
- Pharmacotherapy Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain.,Osakidetza Basque Health Service, Pharmacy Department, Urduliz Hospital, Urduliz, Spain
| | - Itziar Palacios-Zabalza
- Pharmacotherapy Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain.,Basque Country Pharmacovigilance Unit, University Hospital of Galdakao-Usansolo, Osakidetza, Spain
| | - Fernando Macías-García
- Department of Gastroenterology and Hepatology, University Hospital of Santiago de Compostela, Santiago de Compostela, Spain
| | - María Piñeiro-Lamas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Carlos III Health Institute, Madrid, Spain.,Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Luisa Ibáñez
- Department of Pharmacology, Therapeutics and Toxicology, Catalonian Institute of Pharmacology, Clinical Pharmacology Service, Vall d'Hebron University Teaching Hospital, Autonomous University, Barcelona, Spain
| | - Xavier Vidal
- Department of Pharmacology, Therapeutics and Toxicology, Catalonian Institute of Pharmacology, Clinical Pharmacology Service, Vall d'Hebron University Teaching Hospital, Autonomous University, Barcelona, Spain
| | - Lourdes Vendrell
- Department of Pharmacology, Therapeutics and Toxicology, Catalonian Institute of Pharmacology, Clinical Pharmacology Service, Vall d'Hebron University Teaching Hospital, Autonomous University, Barcelona, Spain
| | - Luis Martin-Arias
- Centre for Research on Drug Safety (CESME), Valladolid University, Valladolid, Spain
| | - María Sáinz-Gil
- Centre for Research on Drug Safety (CESME), Valladolid University, Valladolid, Spain
| | | | | | - Angel Salgado
- Department of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Ana Estany-Gestal
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Adolfo Figueiras
- Department of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Carlos III Health Institute, Madrid, Spain.,Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
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14
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Greater genetic diversity is needed in human pluripotent stem cell models. Nat Commun 2022; 13:7301. [PMID: 36435871 PMCID: PMC9701202 DOI: 10.1038/s41467-022-34940-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 11/11/2022] [Indexed: 11/28/2022] Open
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15
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Caliebe A, Tekola‐Ayele F, Darst BF, Wang X, Song YE, Gui J, Sebro RA, Balding DJ, Saad M, Dubé M. Including diverse and admixed populations in genetic epidemiology research. Genet Epidemiol 2022; 46:347-371. [PMID: 35842778 PMCID: PMC9452464 DOI: 10.1002/gepi.22492] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 05/31/2022] [Accepted: 06/06/2022] [Indexed: 11/25/2022]
Abstract
The inclusion of ancestrally diverse participants in genetic studies can lead to new discoveries and is important to ensure equitable health care benefit from research advances. Here, members of the Ethical, Legal, Social, Implications (ELSI) committee of the International Genetic Epidemiology Society (IGES) offer perspectives on methods and analysis tools for the conduct of inclusive genetic epidemiology research, with a focus on admixed and ancestrally diverse populations in support of reproducible research practices. We emphasize the importance of distinguishing socially defined population categorizations from genetic ancestry in the design, analysis, reporting, and interpretation of genetic epidemiology research findings. Finally, we discuss the current state of genomic resources used in genetic association studies, functional interpretation, and clinical and public health translation of genomic findings with respect to diverse populations.
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Affiliation(s)
- Amke Caliebe
- Institute of Medical Informatics and StatisticsKiel University and University Hospital Schleswig‐HolsteinKielGermany
| | - Fasil Tekola‐Ayele
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institutes of HealthBethesdaMarylandUSA
| | - Burcu F. Darst
- Center for Genetic EpidemiologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Xuexia Wang
- Department of MathematicsUniversity of North TexasDentonTexasUSA
| | - Yeunjoo E. Song
- Department of Population and Quantitative Health SciencesCase Western Reserve UniversityClevelandOhioUSA
| | - Jiang Gui
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth CollegeOne Medical Center Dr.LebanonNew HampshireUSA
| | | | - David J. Balding
- Melbourne Integrative Genomics, Schools of BioSciences and of Mathematics & StatisticsUniversity of MelbourneMelbourneAustralia
| | - Mohamad Saad
- Qatar Computing Research InstituteHamad Bin Khalifa UniversityDohaQatar
- Neuroscience Research Center, Faculty of Medical SciencesLebanese UniversityBeirutLebanon
| | - Marie‐Pierre Dubé
- Department of Medicine, and Social and Preventive MedicineUniversité de MontréalMontréalQuébecCanada
- Beaulieu‐Saucier Pharmacogenomcis CentreMontreal Heart InstituteMontrealCanada
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16
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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.
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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
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Ejaz S, Nandam N, Maygarden S, Styner M. A Study of Paraganglioma Cases With Non-European Ancestry. Cureus 2022; 14:e27854. [PMID: 36110458 PMCID: PMC9462397 DOI: 10.7759/cureus.27854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2022] [Indexed: 11/05/2022] Open
Abstract
Capable of generating excess catecholamines, untreated extra-adrenal paragangliomas (PGLs) result in severe cardiovascular morbidity and mortality. Increasingly, a hereditary basis can be identified to underlie PGLs, though such data are largely absent in populations of non-European descent. We present two patients with PGL, both exhibiting similar age, sex, and geographic ancestry. Our patients are unrelated, Kinyarwanda-speaking females from the Democratic Republic of the Congo. The first patient presented with lower extremity edema and poorly controlled hypertension and was found to have multifocal PGL in the abdomen and bladder, proven by biopsy and treated with surgical excision. Our second patient presented with palpitations, shortness of breath, headache, and hypertension, was found to have mediastinal PGL, and underwent surgical excision. Genetic testing was negative in both cases. The first patient has not shown recurrence based on active surveillance with imaging and biochemical testing. There is a concern for recurrence in the second patient, eight years after diagnosis, which is currently being investigated. Our second patient lived at a high altitude for most of her life, pointing toward a possible role of hypoxia in the pathogenesis of her tumor development. Our cases raise questions that require active inquiry regarding additional environmental and/or genetic factors that might predispose to PGLs in uncommon anatomic sites and in understudied, vulnerable populations.
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18
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Fakunle ES, Pratola VG, Peterson SE, Loring JF, Madanat H. The Promoting Equity in Stem Cell Genomics Survey. Regen Med 2022; 17:203-218. [PMID: 35255713 DOI: 10.2217/rme-2021-0081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: This study aimed to determine knowledge and attitudes toward induced pluripotent stem cell technology and biobanking. Methods: A survey instrument was developed to determine individuals' knowledge of and attitudes toward these technologies. Results: Results from 276 ethnically diverse participants who took the online survey demonstrated significant associations (p ≤ 0. 05) in knowledge by ethnicity and race regarding properties of stem cells, different types of stem cells and previous sample donation behavior. Significantly more Whites 39% (n = 53) compared with Blacks or African-Americans 19.2% (n = 14) had previous knowledge of induced pluripotent stem cells (χ2 = 8.544; p = 0.003) Conclusion: Overall, White race was associated with greater knowledge about stem cells and biobanks and greater willingness to donate samples for future research.
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Affiliation(s)
- Eyitayo S Fakunle
- Founder at IFASEMB & Ilera "I am Pluripotent", Chandler, AZ 85286, USA.,Currently employed at Covis Pharmaceuticals, Grafenauweg 12, 6300 Zug, Switzerland.,J. Orin Edson Entrepreneurship + Innovation Institute, Venture Devils Program for startups, Arizona State University, Tempe, AZ 85281, USA
| | - Victoria Glenn Pratola
- The Scripps Research Institute, Center for Regenerative Medicine, La Jolla, CA 92037 USA
| | - Suzanne E Peterson
- The Scripps Research Institute, Center for Regenerative Medicine, La Jolla, CA 92037 USA
| | - Jeanne F Loring
- The Scripps Research Institute, Center for Regenerative Medicine, La Jolla, CA 92037 USA.,Graduate School of Public Health, Division of Health Promotion and Behavioral Science San Diego State University, San Diego, CA 92182, USA
| | - Hala Madanat
- Interim Vice President for Research and Innovation, Distinguished Professor, School of Public Health, Core Investigator, Institute for Behavioral and Community Health San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-4162
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A multicenter case-control study of the effect of e-nos VNTR polymorphism on upper gastrointestinal hemorrhage in NSAID users. Sci Rep 2021; 11:19923. [PMID: 34620931 PMCID: PMC8497469 DOI: 10.1038/s41598-021-99402-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 09/23/2021] [Indexed: 01/03/2023] Open
Abstract
Bleeding in non-steroidal anti-inflammatory drug (NSAID) users limited their prescription. This first multicenter full case–control study (325 cases and 744 controls), explored the association of e-NOS intron 4 variable number tandem repeat (VNTR) polymorphism with upper gastrointestinal hemorrhage (UGIH) in NSAID exposed and unexposed populations and assessed any interaction between this polymorphism and NSAIDs. NSAID users carrying e-NOS intron 4 wild type genotype or VNTR polymorphism have higher odds of UGIH than those unexposed to NSAIDs [Odds Ratio (OR): 6.62 (95% Confidence Interval (CI): 4.24, 10.36) and OR: 5.41 (95% CI 2.62, 11.51), respectively], with no effect modification from VNTR polymorphism-NSAIDs interaction [Relative Excess Risk due to Interaction (RERI): −1.35 (95% CI −5.73, 3.03); Synergism Index (S): 0.77 (95% CI 0.31, 1.94)]. Similar findings were obtained for aspirin exposure. Non-aspirin NSAID users who carry e-NOS intron 4 VNTR polymorphism have lower odds of UGIH [OR: 4.02 (95% CI 1.85, 8.75) than those users with wild type genotype [OR: 6.52 (95% CI 4.09, 10.38)]; though the interaction estimates are not statistically significant [RERI: −2.68 (95% CI −6.67, 1.31); S: 0.53 (95% CI 0.18, 1.55)]. This exploratory study suggests that the odds of UGIH in NSAID or aspirin users does not modify according to patient´s e-NOS intron 4 genotype.
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Caldwell J, Jackson FLC. Evolutionary perspectives on African North American genetic diversity: Origins and prospects for future investigations. Evol Anthropol 2021; 30:242-252. [PMID: 34388300 DOI: 10.1002/evan.21910] [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: 05/28/2020] [Revised: 09/03/2020] [Accepted: 11/13/2020] [Indexed: 11/07/2022]
Abstract
African-descended peoples of the Americas represent an amalgamation of West, Central, and Southeast African regional and ethnic groups with modest gene flow from specific non-African populations. Despite 16+ generations of residence in the Americas, there is a deficit of evolutionary knowledge about these populations. Focusing on Legacy African American, the African North American descendants of survivors of the transatlantic trade in enslaved Africans, we report on emic evolutionary perspectives of their self-identity gleaned from our interviews of 600 individuals collected over 2 years. Gullah-Geechee peoples of Carolina Coastal regions are a model case study due to their historical antiquity, substantial African retentions, relative geospatial isolation, and proposed progenitor status to other Legacy African American microethnic groups. We identify salient research questions for future studies that will begin to bridge the evolutionary gaps in our knowledge of these diverse peoples and the historical evidence for specific evolutionary processes.
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Affiliation(s)
- Jennifer Caldwell
- Genetics Department, Howard University, Washington, District of Columbia, USA
| | - Fatimah L C Jackson
- Biology Department, Howard University, Washington, District of Columbia, USA
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21
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López S, Tarekegn A, Band G, van Dorp L, Bird N, Morris S, Oljira T, Mekonnen E, Bekele E, Blench R, Thomas MG, Bradman N, Hellenthal G. Evidence of the interplay of genetics and culture in Ethiopia. Nat Commun 2021; 12:3581. [PMID: 34117245 PMCID: PMC8196081 DOI: 10.1038/s41467-021-23712-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 05/13/2021] [Indexed: 11/13/2022] Open
Abstract
The rich linguistic, ethnic and cultural diversity of Ethiopia provides an unprecedented opportunity to understand the level to which cultural factors correlate with-and shape-genetic structure in human populations. Using primarily new genetic variation data covering 1,214 Ethiopians representing 68 different ethnic groups, together with information on individuals' birthplaces, linguistic/religious practices and 31 cultural practices, we disentangle the effects of geographic distance, elevation, and social factors on the genetic structure of Ethiopians today. We provide evidence of associations between social behaviours and genetic differences among present-day peoples. We show that genetic similarity is broadly associated with linguistic affiliation, but also identify pronounced genetic similarity among groups from disparate language classifications that may in part be attributable to recent intermixing. We also illustrate how groups reporting the same culture traits are more genetically similar on average and show evidence of recent intermixing, suggesting that shared cultural traits may promote admixture. In addition to providing insights into the genetic structure and history of Ethiopia, we identify the most important cultural and geographic predictors of genetic differentiation and provide a resource for designing sampling protocols for future genetic studies involving Ethiopians.
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Affiliation(s)
- Saioa López
- Research Department of Genetics, Evolution & Environment, University College London, London, UK.
- UCL Genetics Institute, University College London, London, UK.
| | - Ayele Tarekegn
- Department of Archaeology and Heritage Management, College of Social Sciences, Addis Ababa University, New Classrooms (NCR) Building, Second Floor, Office No. 214, Addis Ababa University, Addis Ababa, Ethiopia.
| | - Gavin Band
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Lucy van Dorp
- Research Department of Genetics, Evolution & Environment, University College London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - Nancy Bird
- Research Department of Genetics, Evolution & Environment, University College London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - Sam Morris
- Research Department of Genetics, Evolution & Environment, University College London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - Tamiru Oljira
- Genomics & Bioinformatics Research Directorate (GBRD), Ethiopian Biotechnology Institute (EBTi), Addis Ababa, Ethiopia
| | - Ephrem Mekonnen
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Endashaw Bekele
- College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Roger Blench
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Department of History, University of Jos, Jos, Nigeria
| | - Mark G Thomas
- Research Department of Genetics, Evolution & Environment, University College London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | | | - Garrett Hellenthal
- Research Department of Genetics, Evolution & Environment, University College London, London, UK.
- UCL Genetics Institute, University College London, London, UK.
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Abstract
Genomic information is poised to play an increasing role in clinical care, extending beyond highly penetrant genetic conditions to less penetrant genotypes and common disorders. But with this shift, the question of clinical utility becomes a major challenge. A collaborative effort is necessary to determine the information needed to evaluate different uses of genomic information and then acquire that information. Another challenge must also be addressed if that process is to provide equitable benefits: the lack of diversity of genomic data. Current genomic knowledge comes primarily from populations of European descent, which poses the risk that most of the human population will be shortchanged when health benefits of genomics emerge. These two challenges have defined my career as a geneticist and have taught me that solutions must start with dialogue across disciplinary and social divides.
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Affiliation(s)
- Wylie Burke
- Department of Bioethics and Humanities, University of Washington, Seattle, Washington 98195, USA;
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Tekola-Ayele F, Ouidir M, Shrestha D, Workalemahu T, Rahman ML, Mendola P, Grantz KL, Hinkle SN, Wu J, Zhang C. Admixture mapping identifies African and Amerindigenous local ancestry loci associated with fetal growth. Hum Genet 2021; 140:985-997. [PMID: 33590300 DOI: 10.1007/s00439-021-02265-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 02/04/2021] [Indexed: 12/31/2022]
Abstract
Fetal growth is an important determinant of cardiometabolic disease risk during childhood and adulthood. The genetic architecture of fetal growth remains largely understudied in ancestrally diverse populations. We conducted genome-wide admixture mapping scan and analysis of genetic ancestry among Hispanic American, African American, European American, and Asian American pregnant women to identify genetic loci associated with fetal growth measures across 13-40 weeks gestation. Fetal growth measures were associated with genome-wide average African, European, Amerindigenous and East Asian ancestry proportions (P ranged from10-3 to 4.8 × 10-2). Admixture mapping analysis identified ten African ancestry loci and three Amerindigenous ancestry loci significantly associated with fetal growth measures at Bonferroni-corrected levels of significance (P ranged from 2.18 × 10-8 to 3.71 × 10-6). At the chr2q23.3-24.2 locus in which higher African ancestry was associated with long bone (femur and humerus) lengths, the T allele of rs13030825 (GALNT13) was associated with longer humerus length in African Americans (β = 0.44, P = 6.25 × 10-6 at week 27; β = 0.39, P = 7.72 × 10-5 at week 40). The rs13030825 SNP accounted for most of the admixture association at the chr2q23.3-24.2 locus and has substantial allele frequency difference between African and European reference samples (FST = 0.55, P = 0.03). Regulatory annotation shows that rs13030825 overlaps with the serum response factor (SRF) transcription factor previously implicated in postnatal bone development of mice. Overall, we identified ancestry-related maternal genetic loci that influence fetal growth, shedding light on molecular pathways that regulate fetal growth and potential effects on health across the lifespan.Clinical trials registration ClinicalTrials.gov, NCT00912132.
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Affiliation(s)
- Fasil Tekola-Ayele
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Dr, 6710B-3204, Bethesda, MD, 20892-7004, USA.
| | - Marion Ouidir
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Dr, 6710B-3204, Bethesda, MD, 20892-7004, USA
| | - Deepika Shrestha
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Dr, 6710B-3204, Bethesda, MD, 20892-7004, USA
| | - Tsegaselassie Workalemahu
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Dr, 6710B-3204, Bethesda, MD, 20892-7004, USA
| | - Mohammad L Rahman
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Dr, 6710B-3204, Bethesda, MD, 20892-7004, USA.,Department of Population Medicine and Harvard Pilgrim Healthcare Institute, Harvard Medical School, Boston, MA, USA
| | - Pauline Mendola
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Dr, 6710B-3204, Bethesda, MD, 20892-7004, USA.,Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Katherine L Grantz
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Dr, 6710B-3204, Bethesda, MD, 20892-7004, USA
| | - Stefanie N Hinkle
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Dr, 6710B-3204, Bethesda, MD, 20892-7004, USA
| | - Jing Wu
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Dr, 6710B-3204, Bethesda, MD, 20892-7004, USA
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25
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Gendered Migration and Agroforestry in Indonesia: Livelihoods, Labor, Know-How, Networks. LAND 2020. [DOI: 10.3390/land9120529] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Migration connects land use in areas of origin with areas of new residence, impacting both through individual, gendered choices on the use of land, labor, and knowledge. Synthesizing across two case studies in Indonesia, we focus on five aspects: (i) conditions within the community of origin linked to the reason for people to venture elsewhere, temporarily or permanently; (ii) the changes in the receiving community and its environment, generally in rural areas with lower human population density; (iii) the effect of migration on land use and livelihoods in the areas of origin; (iv) the dynamics of migrants returning with different levels of success; and (v) interactions of migrants in all four aspects with government and other stakeholders of development policies. In-depth interviews and focus group discussions in the study areas showed how decisions vary with gender and age, between individuals, households, and groups of households joining after signs of success. Most of the decision making is linked to perceived poverty, natural resource and land competition, and emergencies, such as natural disasters or increased human conflicts. People returning successfully may help to rebuild the village and its agricultural and agroforestry systems and can invest in social capital (mosques, healthcare, schools).
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Evaluation of the Ion AmpliSeq™ PhenoTrivium Panel: MPS-Based Assay for Ancestry and Phenotype Predictions Challenged by Casework Samples. Genes (Basel) 2020; 11:genes11121398. [PMID: 33255693 PMCID: PMC7760956 DOI: 10.3390/genes11121398] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 11/19/2020] [Accepted: 11/22/2020] [Indexed: 12/21/2022] Open
Abstract
As the field of forensic DNA analysis has started to transition from genetics to genomics, new methods to aid in crime scene investigations have arisen. The development of informative single nucleotide polymorphism (SNP) markers has led the forensic community to question if DNA can be a reliable "eye-witness" and whether the data it provides can shed light on unknown perpetrators. We have developed an assay called the Ion AmpliSeq™ PhenoTrivium Panel, which combines three groups of markers: 41 phenotype- and 163 ancestry-informative autosomal SNPs together with 120 lineage-specific Y-SNPs. Here, we report the results of testing the assay's sensitivity and the predictions obtained for known reference samples. Moreover, we present the outcome of a blind study performed on real casework samples in order to understand the value and reliability of the information that would be provided to police investigators. Furthermore, we evaluated the accuracy of admixture prediction in Converge™ Software. The results show the panel to be a robust and sensitive assay which can be used to analyze casework samples. We conclude that the combination of the obtained predictions of phenotype, biogeographical ancestry, and male lineage can serve as a potential lead in challenging police investigations such as cold cases or cases with no suspect.
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27
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Cooper RS, Rotimi CN. The Practice of Anti-racist Science Requires an Internationalist Perspective. Am J Hum Genet 2020. [DOI: 10.1016/j.ajhg.2020.09.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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28
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Msimang P. Lessons in our faults: Fault lines on race and research ethics. S AFR J SCI 2020. [DOI: 10.17159/sajs.2020/8449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Phila Msimang
- Department of Philosophy, Stellenbosch University, Stellenbosch, South Africa
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29
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Msimang PM. Medicine, anti-realism and ideology: Variation in medical genetics does not show that race is biologically real. ACTA ACUST UNITED AC 2020. [DOI: 10.1515/sats-2020-2003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
AbstractLee McIntyre’s Respecting Truth chronicles the contemporary challenges regarding the relationship amongst evidence, belief formation and ideology. The discussion in his book focusses on the ‘politicisation of knowledge’ and the purportedly growing public (and sometimes academic) tendency to choose to believe what is determined by prior ideological commitments rather than what is determined by evidence-based reasoning. In considering these issues, McIntyre posits that the claim “race is a myth” is founded on a political ideology rather than on support from scientific evidence. He contrasts this view with the argument that racially correlated biomedical outcomes for self-identified racial groups suggest that biological races are real. I explore how McIntyre’s framing of the claim “race is a myth” as fundamentally ideological results in him failing to engage with the arguments and evidence many constructionists and biological anti-realists put forward in support of their views. I also show how the biomedical evidence he thinks supports biological realism is unconvincing.
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Affiliation(s)
- Phila Mfundo Msimang
- Faculty of Arts and Social Sciences, Stellenbosch University, 80 Ryneveldt Street, Stellenbosch7602, South Africa
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30
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Fernandez-Rhodes L, Young KL, Lilly AG, Raffield LM, Highland HM, Wojcik GL, Agler C, M Love SA, Okello S, Petty LE, Graff M, Below JE, Divaris K, North KE. Importance of Genetic Studies of Cardiometabolic Disease in Diverse Populations. Circ Res 2020; 126:1816-1840. [PMID: 32496918 PMCID: PMC7285892 DOI: 10.1161/circresaha.120.315893] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Genome-wide association studies have revolutionized our understanding of the genetic underpinnings of cardiometabolic disease. Yet, the inadequate representation of individuals of diverse ancestral backgrounds in these studies may undercut their ultimate potential for both public health and precision medicine. The goal of this review is to describe the imperativeness of studying the populations who are most affected by cardiometabolic disease, to the aim of better understanding the genetic underpinnings of the disease. We support this premise by describing the current variation in the global burden of cardiometabolic disease and emphasize the importance of building a globally and ancestrally representative genetics evidence base for the identification of population-specific variants, fine-mapping, and polygenic risk score estimation. We discuss the important ethical, legal, and social implications of increasing ancestral diversity in genetic studies of cardiometabolic disease and the challenges that arise from the (1) lack of diversity in current reference populations and available analytic samples and the (2) unequal generation of health-associated genomic data and their prediction accuracies. Despite these challenges, we conclude that additional, unprecedented opportunities lie ahead for public health genomics and the realization of precision medicine, provided that the gap in diversity can be systematically addressed. Achieving this goal will require concerted efforts by social, academic, professional and regulatory stakeholders and communities, and these efforts must be based on principles of equity and social justice.
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Affiliation(s)
- Lindsay Fernandez-Rhodes
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Adam G Lilly
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Heather M Highland
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Cary Agler
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Shelly-Ann M Love
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Samson Okello
- Department of Internal Medicine, Mbarara University of Science and Technology, Uganda
- University of Virginia, Charlottesville, VA
- Harvard TH Chan School of Public Health, Boston, MA
| | - Lauren E Petty
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Vanderbilt, TN
- Department of Genetic Medicine, Vanderbilt University, Vanderbilt, TN
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Vanderbilt, TN
- Department of Genetic Medicine, Vanderbilt University, Vanderbilt, TN
| | - Kimon Divaris
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Carolina Center for Genome Sciences, Chapel Hill, NC
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Liu Z, Shriner D, Hansen NF, Rotimi CN, Mullikin JC. Admixture mapping identifies genetic regions associated with blood pressure phenotypes in African Americans. PLoS One 2020; 15:e0232048. [PMID: 32315356 PMCID: PMC7173845 DOI: 10.1371/journal.pone.0232048] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/06/2020] [Indexed: 01/11/2023] Open
Abstract
Hypertension occurs at a higher rate in African Americans than in European Americans. Based on the assumption that causal variants are more frequently found on DNA segments inherited from the ancestral population with higher disease risk, we employed admixture mapping to identify genetic loci with excess local African ancestry associated with blood pressure. Chromosomal regions 1q21.2–21.3, 4p15.1, 19q12 and 20p13 were significantly associated with diastolic blood pressure (β = 5.28, -7.94, -6.82 and 5.89, P-value = 6.39E-04, 2.07E-04, 6.56E-05 and 5.04E-04, respectively); 1q21.2–21.3 and 19q12 were also significantly associated with mean arterial pressure (β = 5.86 and -6.40, P-value = 5.32E-04 and 6.37E-04, respectively). We further selected SNPs that had large allele frequency differences within these regions and tested their association with blood pressure. SNP rs4815428 was significantly associated with diastolic blood pressure after Bonferroni correction (β = -2.42, P-value = 9.57E-04), and it partially explained the admixture mapping signal at 20p13. SNPs rs771205 (β = -1.99, P-value = 3.37E-03), rs3126067, rs2184953 and rs58001094 (the latter three exhibit strong linkage disequilibrium, β = -2.3, P-value = 1.4E-03) were identified to be significantly associated with mean arterial pressure, and together they fully explained the admixture signal at 1q21.2–21.3. Although no SNP at 4p15.1 showed large ancestral allele frequency differences in our dataset, we detected association at low-frequency African-specific variants that mapped predominantly to the gene PCDH7, which is most highly expressed in aorta. Our results suggest that these regions may harbor genetic variants that contribute to the different prevalence of hypertension.
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Affiliation(s)
- Zhi Liu
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Nancy F. Hansen
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - James C. Mullikin
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail:
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32
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Bentley AR, Callier SL, Rotimi CN. Evaluating the promise of inclusion of African ancestry populations in genomics. NPJ Genom Med 2020; 5:5. [PMID: 32140257 PMCID: PMC7042246 DOI: 10.1038/s41525-019-0111-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 12/16/2019] [Indexed: 12/24/2022] Open
Abstract
The lack of representation of diverse ancestral backgrounds in genomic research is well-known, and the resultant scientific and ethical limitations are becoming increasingly appreciated. The paucity of data on individuals with African ancestry is especially noteworthy as Africa is the birthplace of modern humans and harbors the greatest genetic diversity. It is expected that greater representation of those with African ancestry in genomic research will bring novel insights into human biology, and lead to improvements in clinical care and improved understanding of health disparities. Now that major efforts have been undertaken to address this failing, is there evidence of these anticipated advances? Here, we evaluate the promise of including diverse individuals in genomic research in the context of recent literature on individuals of African ancestry. In addition, we discuss progress and achievements on related technological challenges and diversity among scientists conducting genomic research.
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Affiliation(s)
- Amy R. Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Shawneequa L. Callier
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
- Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, DC USA
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
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33
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Roewer L. Y‐chromosome short tandem repeats in forensics—Sexing, profiling, and matching male DNA. ACTA ACUST UNITED AC 2019. [DOI: 10.1002/wfs2.1336] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Lutz Roewer
- Department of Forensic Genetics, Institute of Legal Medicine and Forensic Sciences Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin and Berlin Institute of Health, Charité‐Universitätsmedizin Berlin 13353 Berlin Germany
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Shriner D, Rotimi CN. Genetic history of Chad. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2018; 167:804-812. [PMID: 30259956 DOI: 10.1002/ajpa.23711] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 08/17/2018] [Accepted: 08/29/2018] [Indexed: 11/11/2022]
Abstract
OBJECTIVES The Sahel is a semi-arid zone stretching from the Atlantic Ocean in the west to the Red Sea in the east and from the Sahara in the north to the Sudanian Savanna in the south. Here, we investigated the genetic history of the spread of Northern African ancestry common among Berbers, the Y DNA haplogroup R1b-V88, and Chadic languages throughout the Sahel, with a focus on Chad. MATERIALS AND METHODS We integrated and analyzed genotype data from 751 individuals from Chad, Burkina Faso, Mali, South Sudan, and Sudan in the context of a global reference panel of 5,966 individuals. RESULTS We found that genetic diversity in Chad was broadly divided by a north-south axis. The core ancestry of Southern Chadians was Central African, most closely related to Pygmies. Southern Chadians then experienced four waves of gene flow over the last 3,000 years from West-Central Africans, Eastern Africans, West-Central Africans again, and then Arabians. In contrast, Northern Chadians did not share Central African ancestry and were not influenced by the first wave of West-Central Africans but were influenced by Northern African ancestry. DISCUSSION We found that Y DNA haplogroup R1b entered the Chadian gene pool during Baggarization. Baggara Arabs spoke Arabic, not Chadic, implying that people carrying R1b-V88 were not responsible for the spread of Chadic languages, which may have spread approximately 3,700 years ago. We found no evidence for migration of Near Eastern farmers or any ancient episodes involving Eurasian backflow.
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Affiliation(s)
- Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland
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Criollo-Rayo AA, Bohórquez M, Prieto R, Howarth K, Culma C, Carracedo A, Tomlinson I, Echeverry de Polnaco MM, Carvajal Carmona LG. Native American gene continuity to the modern admixed population from the Colombian Andes: Implication for biomedical, population and forensic studies. Forensic Sci Int Genet 2018; 36:e1-e7. [PMID: 29909140 DOI: 10.1016/j.fsigen.2018.06.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 06/05/2018] [Accepted: 06/05/2018] [Indexed: 12/14/2022]
Abstract
Andean populations have variable degrees of Native American and European ancestry, representing an opportunity to study admixture dynamics in the populations from Latin America (also known as Hispanics). We characterized the genetic structure of two indigenous (Nasa and Pijao) and three admixed (Ibagué, Ortega and Planadas) groups from Tolima, in the Colombian Andes. DNA samples from 348 individuals were genotyped for six mitochondrial DNA (mtDNA), seven non-recombining Y-chromosome (NRY) region and 100 autosomal ancestry informative markers. Nasa and Pijao had a predominant Native American ancestry at the autosomal (92%), maternal (97%) and paternal (70%) level. The admixed groups had a predominant Native American mtDNA ancestry (90%), a substantial frequency of European NRY haplotypes (72%) and similar autosomal contributions from Europeans (51%) and Amerindians (45%). Pijao and nearby Ortega were indistinguishable at the mtDNA and autosomal level, suggesting a genetic continuity between them. Comparisons with multiple Native American populations throughout the Americas revealed that Pijao, had close similarities with Carib-speakers from distant parts of the continent, suggesting an ancient correlation between language and genes. In summary, our study aimed to understand Hispanic patterns of migration, settlement and admixture, supporting an extensive contribution of local Amerindian women to the gene pool of admixed groups and consistent with previous reports of European-male driven admixture in Colombia.
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Affiliation(s)
- Angel A Criollo-Rayo
- Grupo de Citogenética, Filogenia y Evolución de Poblaciones, Facultad de Ciencias y Facultad de Ciencias de la Salud, Universidad del Tolima, Ibagué, Colombia
| | - Mabel Bohórquez
- Grupo de Citogenética, Filogenia y Evolución de Poblaciones, Facultad de Ciencias y Facultad de Ciencias de la Salud, Universidad del Tolima, Ibagué, Colombia
| | - Rodrigo Prieto
- Grupo de Citogenética, Filogenia y Evolución de Poblaciones, Facultad de Ciencias y Facultad de Ciencias de la Salud, Universidad del Tolima, Ibagué, Colombia
| | - Kimberley Howarth
- Institute of Cancer and Genomics Sciences, University of Birmingham, UK
| | - Cesar Culma
- Comite Regional Indígena del Tolima, Ibagué, Tolima, Colombia
| | - Angel Carracedo
- Fundación Pública Galega de Medicina Xenómica (SERGAS)-CIBERER, Universidad de Santiago de Compostela, Santiago de Compostela, Spain; Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ian Tomlinson
- Institute of Cancer and Genomics Sciences, University of Birmingham, UK
| | - Maria M Echeverry de Polnaco
- Grupo de Citogenética, Filogenia y Evolución de Poblaciones, Facultad de Ciencias y Facultad de Ciencias de la Salud, Universidad del Tolima, Ibagué, Colombia
| | - Luis G Carvajal Carmona
- Grupo de Citogenética, Filogenia y Evolución de Poblaciones, Facultad de Ciencias y Facultad de Ciencias de la Salud, Universidad del Tolima, Ibagué, Colombia; Fundación de Genética y Genómica, Medellin, Colombia; Corporación Universitaria Remington, Medellin, Colombia; Genome Center and Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, GBSF, 451 Health Science Drive Davis, CA, 95616-8816, USA.
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Shriner D. Re-analysis of Whole Genome Sequence Data From 279 Ancient Eurasians Reveals Substantial Ancestral Heterogeneity. Front Genet 2018; 9:268. [PMID: 30079081 PMCID: PMC6062619 DOI: 10.3389/fgene.2018.00268] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 07/02/2018] [Indexed: 12/14/2022] Open
Abstract
Supervised clustering or projection analysis is a staple technique in population genetic analysis. The utility of this technique depends critically on the reference panel. The most commonly used reference panel in the analysis of ancient DNA to date is based on the Human Origins array. We previously described a larger reference panel that captures more ancestries on the global level. Here, I reanalyzed DNA data from 279 ancient Eurasians using our reference panel. I found substantially more ancestral heterogeneity than has been reported. Reanalysis provides evidence against a resurgence of Western hunter-gatherer ancestry in the Middle to Late Neolithic and evidence for a common ancestor of farmers characterized by Western Asian ancestry, a transition of the spread of agriculture from demic to cultural diffusion, at least two migrations between the Pontic-Caspian steppes and Bronze Age Europe, and a sub-Saharan African component in Natufians that localizes to present-day southern Ethiopia.
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Affiliation(s)
- Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD, United States
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Shriner D, Rotimi CN. Whole-Genome-Sequence-Based Haplotypes Reveal Single Origin of the Sickle Allele during the Holocene Wet Phase. Am J Hum Genet 2018. [PMID: 29526279 PMCID: PMC5985360 DOI: 10.1016/j.ajhg.2018.02.003] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Five classical designations of sickle haplotypes are made on the basis of the presence or absence of restriction sites and are named after the ethno-linguistic groups or geographic regions from which the individuals with sickle cell anemia originated. Each haplotype is thought to represent an independent occurrence of the sickle mutation rs334 (c.20A>T [p.Glu7Val] in HBB). We investigated the origins of the sickle mutation by using whole-genome-sequence data. We identified 156 carriers from the 1000 Genomes Project, the African Genome Variation Project, and Qatar. We classified haplotypes by using 27 polymorphisms in linkage disequilibrium with rs334. Network analysis revealed a common haplotype that differed from the ancestral haplotype only by the derived sickle mutation at rs334 and correlated collectively with the Central African Republic (CAR), Cameroon, and Arabian/Indian haplotypes. Other haplotypes were derived from this haplotype and fell into two clusters, one composed of Senegal haplotypes and the other composed of Benin and Senegal haplotypes. The near-exclusive presence of the original sickle haplotype in the CAR, Kenya, Uganda, and South Africa is consistent with this haplotype predating the Bantu expansions. Modeling of balancing selection indicated that the heterozygote advantage was 15.2%, an equilibrium frequency of 12.0% was reached after 87 generations, and the selective environment predated the mutation. The posterior distribution of the ancestral recombination graph yielded a sickle mutation age of 259 generations, corresponding to 7,300 years ago during the Holocene Wet Phase. These results clarify the origin of the sickle allele and improve and simplify the classification of sickle haplotypes.
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Shriner D, Tekola-Ayele F, Adeyemo A, Rotimi CN. Genetic Ancestry of Hadza and Sandawe Peoples Reveals Ancient Population Structure in Africa. Genome Biol Evol 2018; 10:875-882. [PMID: 29608727 PMCID: PMC5863221 DOI: 10.1093/gbe/evy051] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2018] [Indexed: 12/19/2022] Open
Abstract
The Hadza and Sandawe populations in present-day Tanzania speak languages containing click sounds and therefore thought to be distantly related to southern African Khoisan languages. We analyzed genome-wide genotype data for individuals sampled from the Hadza and Sandawe populations in the context of a global data set of 3,528 individuals from 163 ethno-linguistic groups. We found that Hadza and Sandawe individuals share ancestry distinct from and most closely related to Omotic ancestry; share Khoisan ancestry with populations such as ≠Khomani, Karretjie, and Ju/'hoansi in southern Africa; share Niger-Congo ancestry with populations such as Yoruba from Nigeria and Luhya from Kenya, consistent with migration associated with the Bantu Expansion; and share Cushitic ancestry with Somali, multiple Ethiopian populations, the Maasai population in Kenya, and the Nama population in Namibia. We detected evidence for low levels of Arabian, Nilo-Saharan, and Pygmy ancestries in a minority of individuals. Our results indicate that west Eurasian ancestry in eastern Africa is more precisely the Arabian parent of Cushitic ancestry. Relative to the Out-of-Africa migrations, Hadza ancestry emerged early whereas Sandawe ancestry emerged late.
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Affiliation(s)
- Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland
| | - Fasil Tekola-Ayele
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland
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Rotimi CN, Bentley AR, Doumatey AP, Chen G, Shriner D, Adeyemo A. The genomic landscape of African populations in health and disease. Hum Mol Genet 2017; 26:R225-R236. [PMID: 28977439 PMCID: PMC6075021 DOI: 10.1093/hmg/ddx253] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 06/19/2017] [Accepted: 06/29/2017] [Indexed: 12/12/2022] Open
Abstract
A deeper appreciation of the complex architecture of African genomes is critical to the global effort to understand human history, biology and differential distribution of disease by geography and ancestry. Here, we report on how the growing engagement of African populations in genome science is providing new insights into the forces that shaped human genomes before and after the Out-of-Africa migrations. As a result of this human evolutionary history, African ancestry populations have the greatest genomic diversity in the world, and this diversity has important ramifications for genomic research. In the case of pharmacogenomics, for instance, variants of consequence are not limited to those identified in other populations, and diversity within African ancestry populations precludes summarizing risk across different African ethnic groups. Exposure of Africans to fatal pathogens, such as Plasmodium falciparum, Lassa Virus and Trypanosoma brucei rhodesiense, has resulted in elevated frequencies of alleles conferring survival advantages for infectious diseases, but that are maladaptive in modern-day environments. Illustrating with cardiometabolic traits, we show that while genomic research in African ancestry populations is still in early stages, there are already many examples of novel and African ancestry-specific disease loci that have been discovered. Furthermore, the shorter haplotypes in African genomes have facilitated fine-mapping of loci discovered in other human ancestry populations. Given the insights already gained from the interrogation of African genomes, it is imperative to continue and increase our efforts to describe genomic risk in and across African ancestry populations.
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Affiliation(s)
- Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Amy R. Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Ayo P. Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA
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Diversity and inclusion in genomic research: why the uneven progress? J Community Genet 2017; 8:255-266. [PMID: 28770442 PMCID: PMC5614884 DOI: 10.1007/s12687-017-0316-6] [Citation(s) in RCA: 170] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 06/29/2017] [Indexed: 12/15/2022] Open
Abstract
Conducting genomic research in diverse populations has led to numerous advances in our understanding of human history, biology, and health disparities, in addition to discoveries of vital clinical significance. Conducting genomic research in diverse populations is also important in ensuring that the genomic revolution does not exacerbate health disparities by facilitating discoveries that will disproportionately benefit well-represented populations. Despite the general agreement on the need for genomic research in diverse populations in terms of equity and scientific progress, genomic research remains largely focused on populations of European descent. In this article, we describe the rationale for conducting genomic research in diverse populations by reviewing examples of advances facilitated by their inclusion. We also explore some of the factors that perpetuate the disproportionate attention on well-represented populations. Finally, we discuss ongoing efforts to ameliorate this continuing bias. Collaborative and intensive efforts at all levels of research, from the funding of studies to the publication of their findings, will be necessary to ensure that genomic research does not conserve historical inequalities or curtail the contribution that genomics could make to the health of all humanity.
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