Understanding Our Genetic Inheritance

Total Page:16

File Type:pdf, Size:1020Kb

Understanding Our Genetic Inheritance Available from the Nat ional Technical Information Service, U.S. Department of Commerce, Springfield, Virginia 22161 Price: Printed copy A05 Microfiche A01 Codes are used for pricing all publications. The code is determined by the number of pages in publication. Information pertaining to the pricing codes can be found in current issues of the following publications, which are generally available in most libraries: Energy Research Abstracts (ERA)_- Government Reports Announcements and Index (GRA and I); Scientific and Technical Abstract Reports (STAR)_- and pGblication, NTIS-PR-360 available from NTIS at the above address. Cover: Schematic representation of selected human chromosomes, the cellular structures that contain genes. Human cells contain 23 pairs of chromosomes. Alternating dark and light bands, the result of chemical staining, arc used as visible landmarks for locating genes. Lines to the right of each chromo­ some mark positions where genetic markers have been mapped. DOE/ER-0452P Understanding Our Genetic Inheritance • The U.S. Human Genome Project: The First Five Years FY 1991-1995 U.S. DEPARTMENT OF HEALTH U.S. DEPARTMENT OF ENERGY AND HUMAN SERVICES Office of Energy Research Public Health Service Office of Health and National Institutes of Health Environmental Research National Center for Human Human Genome Program Genome Research NIH Publication No. 90-1590 April 1990 i ;/ Table of Contents Executive Summary . vu Introduction . ~ . 1 Program Goals 5 Scientific Goals • • • • • • • • • • • • • • • •I • • • • • • • • • • • • • • • • • • • 9 1. Mapping and Sequencing the Human Genome . 9 Genetic Map . 10 Physical Map . 11 DNA Sequencing . 14 2. Model Organisms . 17 3. Informatics: Data Collection and Analysis 18 4. Ethical, Legal, and Social Considerations 20 5. Research Training 22 6. Technology Development 23 7. Technology Transfer . 24 Implementation 27 Administration of Research . 27 Management Systems . 27 Role of Research Centers . 27 Construction . 29 Workshops and Meetings . 29 Role of NIH and DOE . 30 National Institutes of Health . 30 U.S. Department of Energy . .. 31 Memorandum of Understanding . 31 iii I il JV Role of Other Federal Agencies . 34 National Science Foundation . 34 U.S. Department of Agriculture . 34 Howard Hughes Medical Institute . 35 International Collaboration . 35 Budget 37 Appendix 1: U.S. Department of Energy Health And Environmental Research Advisory Committee . 41 Appendix 2: National Institutes of Heal ~h Program Advisory Committee on the Human Genome . 43 Appendix 3: Joint DOE-NIH Subcommittee on the Human Genome . 45 Appendix 4: Memorandum of Understanding Between the U.S. Department of Energy and the National Institutes of Health . 47 Appendix 5: Additional Participants in the Development of the Five-Year Plan 51 Appendix 6: Joint Informatics Task Force Proposal . 53 Appendix 7: Report of the Working Group on Ethical, Legal, and Social Issues Related to Mapping and Sequencing the Human Genome . 65 Appendix 8: Joint Mapping Working Group 75 Appendix 9: Joint Informatics Task Force . 77 Appendix 10: Joint Working Group on Ethical, Legal, and Social Issues . 79 Appendix 11: Scientific Goals of the U.S. Human Genome Project . 81 Glossary 85 v VI Understanding Our Genetic Inheritance The U.S. Human Genome Project: I ;{ The First Five Years FY 1991-1995 Executive Summary The Human Genome Initiative is a worldwide research effort with the goal of analyzing the structure of humari DNA and determining the location of the estimated 100,000 human genes. In parallel with this effort, the DNA of a set of model organisms will be studied to provide the comparative information necessary for understanding the functioning of the human genome. The information generated by the human genome project is expected to be the source book for biomedical science in the 21st century and will be of immense benefit to the field of medicine. It will help us to understand and eventually treat many of the more than 4000 genetic diseases that afflict mankind, as well as the many multifactorial diseases in which genetic predisposition plays an important role. A centrally coordinated project focussed on specific objectives is believed to be the most efficient and least expensive way of obtaining this information. In the course of the project much new technology will be developed to facilitate a broad range of biological and biomedical research, bring down the cost of many experiments, and find application in numerous other fields. The basic data produced will be collected Vll m electronic databases that will make the information readily accessible m convenient form to all who need it. This report describes the plans for the U.S. human genome project and updates those originally prepared by the Office of Technology Assessment (OTA) and the National Research Council (NRC) in 1988. In the intervening two years, improvements in technology for almost every aspect of genomics research have taken place. As a result, more specific goals can now be set for the project. Five-year goals have been identified for the following areas, which together encompass the human genome project: o Mapping and Sequencing the Human Genome o Mapping and Sequencing the Genomes of Model Organisms o Data Collection and Distribution o Ethical, Legal, and Social Considerations o Research Training o Technology Development o Technology Transfer This plan sets out specific scientific goals to be achieved in the first five years together with the rationale for each goal. The specific goals will be reviewed annually and updated as further advances in the underlying technology occur. The plan presented here was prepared jointly by the National Institutes of Health (NIH) and the Department of Energy (DOE), the two agencies that have received funding earmarked for the human genome project. Over the past two years, these agencies have developed a highly synergistic and well-integrated approach to carrying out this initiative, as evidenced by the adoption of this common plan. The National Institutes of Health has a natural interest in the Human Genome Initiative in view of its long history of supporting research in genetics and molecular biology as an integral part of its mission to improve the health of all Americans. The Department of Energy has a long-standing program of genetic research directed at improving the ability to assess the effects of radiation and energy~related chemicals on human health. viii To achieve the scientific goals set out in this report, a number of administrative measures have been put in place. In addition, a newsletter, an electronic bulletin board, a comprehensive administrative database, and other communications tools are being set up to facilitate communication and tracking of progress. Research centers will be established to promote the collaboration of investigators from diverse disciplines on a major task of the genome program. DOE has already established three large centers in its National Laboratories and NIH will establish 10 to 20 additional centers over the next five years. The centers will become foci for collaboration with investigators at other locations and with industrial organizations that want to develop applications of the research results, thereby creating networks of interrelated projects. Meetings and workshops will be organized to bring together investigators with common research objectives and to encourage collaboration, exchange of materials and use of common starting materials or protocols wherever these are appropriate. It is expected that mapping and sequencing groups will coalesce around individual human chromosomes or around particular model organisms. NIH and DOE will continue their synergistic working relationship and will also interact closely with other interested agencies, as well as with genome mapping programs in other countries as they get organized. Close ties with industry and with the medical community have been established, and will continue to be encouraged, to ensure efficient technology transfer. The private sector is involved in this project at all levels from participation in the advisory committees to receipt of grants and contracts. The overall budget needs for the effort are still anticipated to be the same as those identified by the OTA and the NRC, namely about $200 million per year for approximately 15 years. Fiscal years 1988 to 1990 have been a period for getting organized and getting research under way. The five-year goals specified in this plan are for the period FY 1991 through FY 1995 and assume the program will rapidly reach the level of funding specified above. ix X The First Five Years FY 1991-1995 Introduction The Human Genome Initiative is a worldwide research effort that has the goal of analyzing the structure of human DNA and determining the location of all human genes. In parallel with this effort, the DNA of a set of model organisms will be studied to provide the comparative information necessary for understanding the functioning of the human genome. The information generated by the human genome project is expected to be the source book for biomedical science in the 21st century. It will have a profound impact on and expedite progress in a variety of biological fields, including those such as developmental biology and neurobiology, where scientists are just beginning to understand the underlying molecular mechanisms. The analysis and interpretation of the information will occupy scientists for many years to come. Thus, the maximal benefit of the human
Recommended publications
  • (APOCI, -C2, and -E and LDLR) and the Genes C3, PEPD, and GPI (Whole-Arm Translocation/Somatic Cell Hybrids/Genomic Clones/Gene Family/Atherosclerosis) A
    Proc. Natl. Acad. Sci. USA Vol. 83, pp. 3929-3933, June 1986 Genetics Regional mapping of human chromosome 19: Organization of genes for plasma lipid transport (APOCI, -C2, and -E and LDLR) and the genes C3, PEPD, and GPI (whole-arm translocation/somatic cell hybrids/genomic clones/gene family/atherosclerosis) A. J. LUSIS*t, C. HEINZMANN*, R. S. SPARKES*, J. SCOTTt, T. J. KNOTTt, R. GELLER§, M. C. SPARKES*, AND T. MOHANDAS§ *Departments of Medicine and Microbiology, University of California School of Medicine, Center for the Health Sciences, Los Angeles, CA 90024; tMolecular Medicine, Medical Research Council Clinical Research Centre, Harrow, Middlesex HA1 3UJ, United Kingdom; and §Department of Pediatrics, Harbor Medical Center, Torrance, CA 90509 Communicated by Richard E. Dickerson, February 6, 1986 ABSTRACT We report the regional mapping of human from defects in the expression of the low density lipoprotein chromosome 19 genes for three apolipoproteins and a lipopro- (LDL) receptor and is strongly correlated with atheroscle- tein receptor as well as genes for three other markers. The rosis (15). Another relatively common dyslipoproteinemia, regional mapping was made possible by the use of a reciprocal type III hyperlipoproteinemia, is associated with a structural whole-arm translocation between the long arm of chromosome variation of apolipoprotein E (apoE) (16). Also, a variety of 19 and the short arm of chromosome 1. Examination of three rare apolipoprotein deficiencies result in gross perturbations separate somatic cell hybrids containing the long arm but not of plasma lipid transport; for example, apoCII deficiency the short arm of chromosome 19 indicated that the genes for results in high fasting levels oftriacylglycerol (17).
    [Show full text]
  • Harnessing the Power of Epigenetics for Targeted Nutrition
    SPONSOR FEATURE SPONSOR FEATURE NESTLÉ RESEARCH: Harnessing the power of epigenetics for targeted nutrition Authors Diet and genomes interact. Because of its contin- products that are nutritious, safe, promote and Martin Kussmann*, Jennifer Dean*, uous and lifelong impact, nutrition might be the maintain health, and prevent disease. With the Rondo P. Middleton†, Peter J. van most important environmental factor for human advent and development of many new technolo- Bladeren* & Johannes le Coutre* health. Molecular nutrition research strives gies, molecular nutrition research has opened to understand this interaction. Nutrigenetics up new doors of understanding – not only con- *Nestlé Research Center, addresses how an individual’s genetic make-up cerning which dietary components may impact 1000 Lausanne 26, Switzerland. leads to a predisposition for nutritional health; an organism’s health, but also how. These new †Nestlé Purina Research, St. Louis, MO, nutrigenomics (encompassing transcriptomics, insights have allowed a greater understanding 63164 USA. proteomics and metabonomics) asks how nutri- of the systems involved at multiple levels, from tion modulates gene expression; and epigenetics whole animal to the cellular and molecular lev- provides insights into a new level of regulation els. Although challenges in this area still remain, involving mechanisms of development, parental the main focus continues to be the improvement gene imprinting and metabolic programming that of health through diet. Modern molecular nutri- are beyond genetic control. tional research aims at health promotion, dis- Tailoring diets and nutrient compositions to the ease prevention, performance improvement and needs of consumer groups that share the same benefit-risk assessment1. health state, life stage or life style is a main goal Nutrition has conventionally been considered of current nutritional research.
    [Show full text]
  • The New Science of Metagenomics: Revealing the Secrets of Our Microbial Planet Is Available from the National Academies Press, 500 Fifth Street, NW, Washington, D.C
    THE NATIONALA REPORTIN BRIEF C The New Science of Metagenomics Revealing the Secrets of Our Microbial Planet ADEMIES Although we can’t see them, microbes are essential for every part of human life— indeed all life on Earth. The emerging field of metagenomics provides a new way of viewing the microbial world that will not only transform modern microbiology, but also may revolu- tionize understanding of the entire living world. very part of the biosphere is impacted Eby the seemingly endless ability of microorganisms to transform the world around them. It is microorganisms, or microbes, that convert the key elements of life—carbon, nitrogen, oxygen, and sulfur—into forms accessible to other living things. They also make necessary nutrients, minerals, and vitamins available to plants and animals. The billions of microbes living in the human gut help humans digest food, break down toxins, and fight off disease-causing pathogens. Microbes also clean up pollutants in the environment, such as oil and Bacteria in human saliva. Trillions of chemical spills. All of these activities are carried bacteria make up the normal microbial com- out not by individual microbes but by complex munity found in and on the human body. microbial communities—intricate, balanced, and The new science of metagenomics can help integrated entities that have a remarkable ability to us understand the role of microbial commu- adapt swiftly to environmental change. nities in human health and the environment. Historically, microbiology has focused on (Image courtesy of Michael Abbey) single species in pure laboratory culture, and thus understanding of microbial communities has lagged behind understanding of their individual mem- bers.
    [Show full text]
  • University of Maryland Establishes Center for Health Related Informatics and Bioimaging
    University of Maryland Establishes Center for Health Related Informatics and Bioimaging News & Events UNIVERSITY OF MARYLAND ESTABLISHES CENTER FOR HEALTH CONTACT RELATED INFORMATICS AND BIOIMAGING Monday, June 10, 2013 Karen Robinson, Media Relations New Center, Led By Distinguished Bioinformatics Scientist Owen White, (410) 706-7590 Ph.D., Unites Scientists Across Disciplines to Integrate Genomics and Personalized Medicine into Research and Clinical Care [email protected] University of Maryland, Baltimore campus President Jay A. Perman, M.D., and Media Relations Team University of Maryland School of Medicine Dean E. Albert Reece, M.D., Ph.D., M.B.A., wish to announce the establishment of a new center to unite research scientists and physicians across disciplines. The center will employ these SEARCH ARTICLES interdisciplinary connections to enhance the use of cutting edge medical science such as genomics and personalized medicine to accelerate research discoveries and improve health care outcomes. Participants in the new News Archives University of Maryland Center for Health-Related Informatics and Bioimaging (CHIB) will collaborate with computer scientists, engineers, life scientists and others at a similar center at the University of Maryland, College Park campus, CHIB Co-Director Owen White, Ph.D. together forming a joint center supported by the M-Power Maryland initiative. LEARN MORE University of Maryland School of Medicine Dean E. Albert Reece, M.D., Ph.D., M.B.A., with the concurrence of President Perman, has appointed as co-director of the new center Owen White, Ph.D., Professor of Epidemiology and Public Health and Director of Bioinformatics at the University of Maryland School of Medicine Institute for Genome Sciences.
    [Show full text]
  • Genomics and Its Impact on Science and Society: the Human Genome Project and Beyond
    DOE/SC-0083 Genomics and Its Impact on Science and Society The Human Genome Project and Beyond U.S. Department of Energy Genome Research Programs: genomics.energy.gov A Primer ells are the fundamental working units of every living system. All the instructions Cneeded to direct their activities are contained within the chemical DNA (deoxyribonucleic acid). DNA from all organisms is made up of the same chemical and physical components. The DNA sequence is the particular side-by-side arrangement of bases along the DNA strand (e.g., ATTCCGGA). This order spells out the exact instruc- tions required to create a particular organism with protein complex its own unique traits. The genome is an organism’s complete set of DNA. Genomes vary widely in size: The smallest known genome for a free-living organism (a bac- terium) contains about 600,000 DNA base pairs, while human and mouse genomes have some From Genes to Proteins 3 billion (see p. 3). Except for mature red blood cells, all human cells contain a complete genome. Although genes get a lot of attention, the proteins DNA in each human cell is packaged into 46 chro- perform most life functions and even comprise the mosomes arranged into 23 pairs. Each chromosome is majority of cellular structures. Proteins are large, complex a physically separate molecule of DNA that ranges in molecules made up of chains of small chemical com- length from about 50 million to 250 million base pairs. pounds called amino acids. Chemical properties that A few types of major chromosomal abnormalities, distinguish the 20 different amino acids cause the including missing or extra copies or gross breaks and protein chains to fold up into specific three-dimensional rejoinings (translocations), can be detected by micro- structures that define their particular functions in the cell.
    [Show full text]
  • Computational Analysis and Predictive Cheminformatics Modeling of Small Molecule Inhibitors of Epigenetic Modifiers
    RESEARCH ARTICLE Computational Analysis and Predictive Cheminformatics Modeling of Small Molecule Inhibitors of Epigenetic Modifiers Salma Jamal1☯‡, Sonam Arora2☯‡, Vinod Scaria3* 1 CSIR Open Source Drug Discovery Unit (CSIR-OSDD), Anusandhan Bhawan, Delhi, India, 2 Delhi Technological University, Delhi, India, 3 GN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India ☯ These authors contributed equally to this work. ‡ These authors are joint first authors on this work. * [email protected] a11111 Abstract Background The dynamic and differential regulation and expression of genes is majorly governed by the OPEN ACCESS complex interactions of a subset of biomolecules in the cell operating at multiple levels start- Citation: Jamal S, Arora S, Scaria V (2016) ing from genome organisation to protein post-translational regulation. The regulatory layer Computational Analysis and Predictive contributed by the epigenetic layer has been one of the favourite areas of interest recently. Cheminformatics Modeling of Small Molecule Inhibitors of Epigenetic Modifiers. PLoS ONE 11(9): This layer of regulation as we know today largely comprises of DNA modifications, histone e0083032. doi:10.1371/journal.pone.0083032 modifications and noncoding RNA regulation and the interplay between each of these major Editor: Wei Yan, University of Nevada School of components. Epigenetic regulation has been recently shown to be central to development Medicine, UNITED STATES of a number of disease processes. The availability of datasets of high-throughput screens Received: June 10, 2013 for molecules for biological properties offer a new opportunity to develop computational methodologies which would enable in-silico screening of large molecular libraries.
    [Show full text]
  • Gene Linkage and Genetic Mapping 4TH PAGES © Jones & Bartlett Learning, LLC
    © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION Gene Linkage and © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC 4NOTGenetic FOR SALE OR DISTRIBUTIONMapping NOT FOR SALE OR DISTRIBUTION CHAPTER ORGANIZATION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR4.1 SALELinked OR alleles DISTRIBUTION tend to stay 4.4NOT Polymorphic FOR SALE DNA ORsequences DISTRIBUTION are together in meiosis. 112 used in human genetic mapping. 128 The degree of linkage is measured by the Single-nucleotide polymorphisms (SNPs) frequency of recombination. 113 are abundant in the human genome. 129 The frequency of recombination is the same SNPs in restriction sites yield restriction for coupling and repulsion heterozygotes. 114 fragment length polymorphisms (RFLPs). 130 © Jones & Bartlett Learning,The frequency LLC of recombination differs © Jones & BartlettSimple-sequence Learning, repeats LLC (SSRs) often NOT FOR SALE OR DISTRIBUTIONfrom one gene pair to the next. NOT114 FOR SALEdiffer OR in copyDISTRIBUTION number. 131 Recombination does not occur in Gene dosage can differ owing to copy- Drosophila males. 115 number variation (CNV). 133 4.2 Recombination results from Copy-number variation has helped human populations adapt to a high-starch diet. 134 crossing-over between linked© Jones alleles. & Bartlett Learning,116 LLC 4.5 Tetrads contain© Jonesall & Bartlett Learning, LLC four products of meiosis.
    [Show full text]
  • From the Human Genome Project to Genomic Medicine a Journey to Advance Human Health
    From the Human Genome Project to Genomic Medicine A Journey to Advance Human Health Eric Green, M.D., Ph.D. Director, NHGRI The Origin of “Genomics”: 1987 Genomics (1987) “For the newly developing discipline of [genome] mapping/sequencing (including the analysis of the information), we have adopted the term GENOMICS… ‘The Genome Institute’ Office for Human Genome Research 1988-1989 National Center for Human Genome Research 1989-1997 National Human Genome Research Institute 1997-present NHGRI: Circa 1990-2003 Human Genome Project NHGRI Today: Characteristic Features . Relatively young (~28 years) . Relatively small (~1.7% of NIH) . Unusual historical origins (think ‘Human Genome Project’) . Emphasis on ‘Team Science’ (think managed ‘consortia’) . Rapidly disseminating footprint (think ‘genomics’) . Novel societal/bioethics research component (think ‘ELSI’) . Over-achievers for trans-NIH initiatives (think ‘Common Fund’) . Vibrant (and large) Intramural Research Program A Quarter Century of Genomics Human Genome Sequenced for First Time by the Human Genome Project Genomic Medicine An emerging medical discipline that involves using genomic information about an individual as part of their clinical care (e.g., for diagnostic or therapeutic decision- making) and the other implications of that clinical use The Path to Genomic Medicine ? Human Realization of Genome Genomic Project Medicine Nature Nature Base Pairs to Bedside 2003 Heli201x to 1Health A Quarter Century of Genomics Human Genome Sequenced for First Time by the Human Genome Project
    [Show full text]
  • Genome Analysis and Knowledge
    Dahary et al. BMC Medical Genomics (2019) 12:200 https://doi.org/10.1186/s12920-019-0647-8 SOFTWARE Open Access Genome analysis and knowledge-driven variant interpretation with TGex Dvir Dahary1*, Yaron Golan1, Yaron Mazor1, Ofer Zelig1, Ruth Barshir2, Michal Twik2, Tsippi Iny Stein2, Guy Rosner3,4, Revital Kariv3,4, Fei Chen5, Qiang Zhang5, Yiping Shen5,6,7, Marilyn Safran2, Doron Lancet2* and Simon Fishilevich2* Abstract Background: The clinical genetics revolution ushers in great opportunities, accompanied by significant challenges. The fundamental mission in clinical genetics is to analyze genomes, and to identify the most relevant genetic variations underlying a patient’s phenotypes and symptoms. The adoption of Whole Genome Sequencing requires novel capacities for interpretation of non-coding variants. Results: We present TGex, the Translational Genomics expert, a novel genome variation analysis and interpretation platform, with remarkable exome analysis capacities and a pioneering approach of non-coding variants interpretation. TGex’s main strength is combining state-of-the-art variant filtering with knowledge-driven analysis made possible by VarElect, our highly effective gene-phenotype interpretation tool. VarElect leverages the widely used GeneCards knowledgebase, which integrates information from > 150 automatically-mined data sources. Access to such a comprehensive data compendium also facilitates TGex’s broad variant annotation, supporting evidence exploration, and decision making. TGex has an interactive, user-friendly, and easy adaptive interface, ACMG compliance, and an automated reporting system. Beyond comprehensive whole exome sequence capabilities, TGex encompasses innovative non-coding variants interpretation, towards the goal of maximal exploitation of whole genome sequence analyses in the clinical genetics practice. This is enabled by GeneCards’ recently developed GeneHancer, a novel integrative and fully annotated database of human enhancers and promoters.
    [Show full text]
  • The Circular Genetic Map of Phage 813 by Ron Baker and Irwin Tessman
    THE CIRCULAR GENETIC MAP OF PHAGE 813 BY RON BAKER AND IRWIN TESSMAN DEPARTMENT OF BIOLOGICAL SCIENCES, PURDUE UNIVERSITY, LAFAYETTE, INDIANA Communicated by S. E. Luria, July 24, 1967 Because of its small size1 phage S13 is suitable for a study of all its genes and their functions. With this aim, conditionally lethal mutants of the suppressible (su) and temperature-sensitive (t) type have been isolated and classified into seven complementation groups, and the general function of five of the genes implicitly defined by these complementation groups has been determined.8-10 This paper is concerned with the mapping of the seven known phage genes, with the ultimate aim of understanding both the organization of the phage genome and the mechanism by which it undergoes genetic recombination. Although the DNA molecule of S13, as shown for the closely related phage ,X174, is physically circular both in the single-stranded form of the mature virus11 and in the double-stranded replicative form,12' 13 this does not necessarily imply that the genetic map should also be circular since circular DNA is neither necessary nor sufficient for genetic circularity. On the one hand, a linear DNA molecule can give rise to a circular genetic map if the nucleotide sequences are circularly permuted;14 an example is the T2-T4 phage system.'5-17 On the other hand, a circular DNA can yield a linear map if recombination involves opening of the ring at a unique site, as seems to occur for phage X, which forms a closed DNA molecule after infections yet has a linear vegetative and prophage genetic map.19 In this report it will be shown that the genetic map of S13, as determined entirely by 3-factor crosses, is indeed circular, and, as might be expected for a circular genome, the occurrence of double recombination events appears to be the rule.
    [Show full text]
  • Genetics and Genomics of Human Population Structure 20
    Genetics and Genomics of Human Population Structure 20 Sohini Ramachandran , Hua Tang , Ryan N. Gutenkunst , and Carlos D. Bustamante Abstract Recent developments in sequencing technology have created a fl ood of new data on human genetic variation, and this data has yielded new insights into human popu- lation structure. Here we review what both early and more recent studies have taught us about human population structure and history. Early studies showed that most human genetic variation occurs within populations rather than between them, and that genetically related populations often cluster geographically. Recent studies based on much larger data sets have recapitulated these observations, but have also demonstrated that high-density genotyping allows individuals to be reliably assigned to their population of origin. In fact, for admixed individuals, even the ancestry of particular genomic regions can often be reli- ably inferred. Recent studies have also offered detailed information about the composition of specifi c populations from around the world, revealing how history has shaped their genetic makeup. We also briefl y review quantitative models of human genetic history, including the role natural selection has played in shaping human genetic variation. Contents 20.2.3 Characterizing Locus-Specifi c Ancestry ...................................................... 594 20.1 Introduction ............................................................... 590 20.3 Global Patterns of Human Population Structure ....... 595 20.1.1 Evolutionary Forces Shaping 20.3.1 The Apportionment of Human Human Genetic Variation ........................... 590 Diversity ..................................................... 595 20.2 Quantifying Population Structure ............................. 592 20.3.2 The History and Geography of Human Genes ......................................... 596 20.2.1 FST and Genetic Distance ............................ 592 20.2.2 Model-Based Clustering 20.3.3 Genetic Structure of Human Populations ..
    [Show full text]
  • In Silico Analysis of Single Nucleotide Polymorphisms
    Central JSM Bioinformatics, Genomics and Proteomics Original Research *Corresponding author Anfal Ibrahim Bahereldeen, Department of medical laboratory sciences, Sudan University of Science and In silico analysis of Single Technology, Khartoum, Sudan; Tel: 249916060120; Email: [email protected] Submitted: 14 October 2019 Nucleotide Polymorphisms Accepted: 23 January 2020 Published: 27 January 2020 (SNPs) in Human HFE Gene ISSN: 2576-1102 Copyright coding region © 2020 Bahereldeen AI, et ail. OPEN ACCESS Anfal Ibrahim Bahereldeen1*, Reel Gamal Alfadil2, Hala Mohammed Ali2, Randa Musa Nasser2, Nada Tagelsir Eisa2, Keywords Wesal Hassan Mahmoud2, and Shaymaa Mohammedazeem • In silico • HFE gene, Polyphen-2 2 Osman • I mutant 1Department of Medical laboratory sciences, Sudan University of science and • Project hope Technology, Sudan 2Department of Medical laboratory sciences, Al-Neelain University, Sudan Abstract Background: HFE gene is a HLA class1-like molecule, expressed in the different cells and tissues, mutations on this gene reported to cause about 80-90% of Hereditary haemochromatosis (HHC) and it is increasing the risk of different diseases. In this study; we aimed to analysis the SNPs in HFE gene by using different computational methods. Methodology: We obtained HFE gene nsSNPs from dbSNP/NCBI database, Deleterious nsSNPs predicted by different bioinformatics servers including; SIFT, polyphen-2, I-mutant and SNPs & GO servers. Protein structure analysis done by using Project hope and RaptorX tools then visualized by Chimera software and function, interaction and network of HFE gene analysis done by Gene MANIA program. Results: SIFT and Polyphen-2 servers predicted 75 deleterious nsSNPs and nine polymorphisms from them predicted as highly damaging and disease associated.
    [Show full text]