Human Evolution Svante Pššbo
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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. -
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 -
The Economic Impact and Functional Applications of Human Genetics and Genomics
The Economic Impact and Functional Applications of Human Genetics and Genomics Commissioned by the American Society of Human Genetics Produced by TEConomy Partners, LLC. Report Authors: Simon Tripp and Martin Grueber May 2021 TEConomy Partners, LLC (TEConomy) endeavors at all times to produce work of the highest quality, consistent with our contract commitments. However, because of the research and/or experimental nature of this work, the client undertakes the sole responsibility for the consequence of any use or misuse of, or inability to use, any information or result obtained from TEConomy, and TEConomy, its partners, or employees have no legal liability for the accuracy, adequacy, or efficacy thereof. Acknowledgements ASHG and the project authors wish to thank the following organizations for their generous support of this study. Invitae Corporation, San Francisco, CA Regeneron Pharmaceuticals, Inc., Tarrytown, NY The project authors express their sincere appreciation to the following indi- viduals who provided their advice and input to this project. ASHG Government and Public Advocacy Committee Lynn B. Jorde, PhD ASHG Government and Public Advocacy Committee (GPAC) Chair, President (2011) Professor and Chair of Human Genetics George and Dolores Eccles Institute of Human Genetics University of Utah School of Medicine Katrina Goddard, PhD ASHG GPAC Incoming Chair, Board of Directors (2018-2020) Distinguished Investigator, Associate Director, Science Programs Kaiser Permanente Northwest Melinda Aldrich, PhD, MPH Associate Professor, Department of Medicine, Division of Genetic Medicine Vanderbilt University Medical Center Wendy Chung, MD, PhD Professor of Pediatrics in Medicine and Director, Clinical Cancer Genetics Columbia University Mira Irons, MD Chief Health and Science Officer American Medical Association Peng Jin, PhD Professor and Chair, Department of Human Genetics Emory University Allison McCague, PhD Science Policy Analyst, Policy and Program Analysis Branch National Human Genome Research Institute Rebecca Meyer-Schuman, MS Human Genetics Ph.D. -
Evolutionary Genetics
Evolutionary Genetics Ruben C. Arslan & Lars Penke Institute of Psychology Georg August University Göttingen Forthcoming in D. M. Buss (Ed.), Handbook of Evolutionary Psychology (2nd ed.). New York: Wiley. September 17, 2014 Corresponding author: Ruben C. Arslan Georg August University Göttingen Biological Personality Psychology and Psychological Assessment Georg Elias Müller Institute of Psychology Goßlerstr. 14 37073 Göttingen, Germany Tel.: +49 551 3920704 Email: [email protected] 1 Introduction When Charles Darwin developed the theory of evolution, he knew nothing about genetics. Hence, one of its biggest weaknesses was that Darwin had to base it on crude ideas of inheritance. Around the same time, Gregor Mendel discovered the laws of inheritance, but the scientific community initially failed to appreciate his work’s importance. It was only in the 1930’s that Dobzhansky, Fisher, Haldane, Wright, Mayr and others unified genetics and the theory of evolution in the ‘modern synthesis’. Still, the modern synthesis was built on a basic understanding of genetics, with genes merely being particulate inherited information. The basics of molecular genetics, like the structure of DNA, were not discovered until the 1950’s. When modern evolutionary psychology emerged from ethology and sociobiology in the late 1980’s, it had a strong emphasis on human universals, borne from both the assumption that complex adaptations are monomorphic (or sexually dimorphic) and have to go back to at least the last common ancestor of all humans, and the methodological proximity to experimental cognitive psychology, which tends to treat individual differences as statistical noise. As a consequence, genetic differences between people were marginalized in evolutionary psychology (Tooby & Cosmides, 1990). -
A Longitudinal Cline Characterizes the Genetic Structure of Human Populations in the Tibetan Plateau
Dartmouth College Dartmouth Digital Commons Open Dartmouth: Published works by Dartmouth faculty Faculty Work 4-27-2017 A Longitudinal Cline Characterizes the Genetic Structure of Human Populations in the Tibetan Plateau Choongwon Jeong University of Chicago Benjamin M. Peter University of Chicago Buddha Basnyat Oxford University Maniraj Neupane Mountain Medicine Society of Nepal Geoff Childs Washington University in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.dartmouth.edu/facoa Part of the Biology Commons, and the Computational Biology Commons Dartmouth Digital Commons Citation Jeong, Choongwon; Peter, Benjamin M.; Basnyat, Buddha; Neupane, Maniraj; Childs, Geoff; Craig, Sienna; Novembre, John; and Di Rienzo, Anna, "A Longitudinal Cline Characterizes the Genetic Structure of Human Populations in the Tibetan Plateau" (2017). Open Dartmouth: Published works by Dartmouth faculty. 2500. https://digitalcommons.dartmouth.edu/facoa/2500 This Article is brought to you for free and open access by the Faculty Work at Dartmouth Digital Commons. It has been accepted for inclusion in Open Dartmouth: Published works by Dartmouth faculty by an authorized administrator of Dartmouth Digital Commons. For more information, please contact [email protected]. Authors Choongwon Jeong, Benjamin M. Peter, Buddha Basnyat, Maniraj Neupane, Geoff Childs, Sienna Craig, John Novembre, and Anna Di Rienzo This article is available at Dartmouth Digital Commons: https://digitalcommons.dartmouth.edu/facoa/2500 -
Human Evolution: Pathogen Influence on Human Genetic Variation
RESEARCH HIGHLIGHTS Nature Reviews Genetics | AOP, published online 22 November 2011; doi:10.1038/nrg3134 HUMAN EVOLUTION Pathogen influence on human genetic variation Human population genetic variation study, the statistical framework that by pathogens were heavily enriched in is known to be influenced by envi- was developed by Fumagalli et al. genes that are associated with autoim- ronmental pressures. By developing a enabled them to correlate allele mune diseases, such as coeliac disease novel statistical framework, Fumagalli frequencies for 500,000 SNPs in 55 and type 1 diabetes. and colleagues have been able to distinct human populations with local The finding that pathogens have discern the relative contributions of environmental factors, such as diet, left such a strong mark on human environmental factors to evolution climate conditions and pathogen load. genomes is perhaps not surprising of genomes, and they found that local Consistent with previous studies, given the influence that pathogens pathogen diversity had the strongest the authors found a greater correla- have on the human lifespan. However, role in the selective process. tion of these environmental factors the trace left by these pathogens Recent genome-wide human with the frequencies of genic SNPs at autoimmune disease gene loci population genetic analyses have and nonsynonymous SNPs than with suggests an intriguing relationship revealed that genes involved in traits non-genic SNPs. After correcting between achieving protection against such as immune function, skin pig- for demography, they showed that infection and maintaining disease- mentation and metabolism are non- pathogen diversity has the strongest causing mutations neutrally evolving sequences and have influence on local genetic variance, Hannah Stower therefore been under the influence of and they detected about 100 human environmental pressures. -
Global Clues to the Nature of Genomic Mutations in Humans
INSIGHT POPULATION GENETICS Global clues to the nature of genomic mutations in humans An analysis of worldwide human genetic variation reveals the footprints of ancient changes in genomic mutation processes. AYLWYN SCALLY factors may reflect recent evolutionary events, Related research article Harris K, Pritchard particularly the divergence of human popula- JK. 2017. Rapid evolution of the human tions and their global dispersal within the last mutation spectrum. eLife 6:e24284. doi: 10. 100,000 years. One way to address this question would be 7554/eLife.24284 to collect genomic and other data for thousands of families, identify de novo mutations in each of the offspring, and then analyse the factors con- tributing to them. However, this approach is ll children inherit a mixture of chromo- extremely demanding in terms of the resources somal sequences from their parents, needed. Now, in eLife, Kelley Harris and Jona- A and although the copying process than Pritchard of Stanford University report how involved is extremely accurate, some errors they have taken an alternative occur. We refer to such errors as de novo (new) approach (Harris and Pritchard, 2017) that germline mutations, and when they are passed involved using a dataset of whole-genome on to subsequent generations, these mutations sequences for 2504 individuals from 26 different are the raw material on which natural selection populations around the world (Auton et al., works and the source of all genetic differences 2015). Consider that any genetic variant in this between populations and species. Most have dataset, even if it is found today in many individ- negligible or minor effects, but some on very uals, was once a de novo mutation in a single rare occasions are responsible for serious ancestor. -
Genetics As Explanation: Limits to the Human Genome Project’ (2006, 2009)
els a0026653.tex V2 - 08/29/2016 4:00 P.M. Page 1 Version 3 a0026653 Genetics as Explanation: Introductory article Article Contents Limits to the Human • Definitions • Metaphors and Programs Genome Project • Metaphors and Expectations • Genome is Not a Simple Program Irun R Cohen, The Weizmann Institute of Science, Rehovot, Israel • Microbes, Symbiosis and the Holobiont Henri Atlan, Ecole des Hautes Etudes en Sciences Sociales, Paris, France and Hadas- • Stem Cells Express Multiple Genes • sah University Hospital, Jerusalem, Israel Meaning: Line or Loop? AU:1 • Self-Organisation and Program Sol Efroni, Bar-Ilan University, Ramat Gan, Israel • Complexity, Reduction and Emergence • Evolving Genomes AU:2 Based in part on the previous versions of this eLS article ‘Genetics as Explanation: Limits to the Human Genome Project’ (2006, 2009). • The Environment and the Genome • Language Metaphor • Tool and Toolbox Metaphors • Conclusion Online posting date: 14th October 2016 Living organisms are composed of cells and all biological evolution, single organisms, populations of organisms, living cells contain a genome, the organism’s stock species, cells and molecules, heredity, embryonic development, of deoxyribonucleic acid (DNA). The role of the health and disease and life management. These are quite diverse genome has been likened to a computer program subjects, and the people who study them would seem to use the term gene in distinctly different ways. But genetics as a whole that encodes the organism’s development and its is organised by a single unifying principle, the deoxyribonucleic subsequent response to the environment. Thus, the acid (DNA) code; all would agree that the information borne by organism and its fate can be explained by genetics, a gene is linked to particular sequences of DNA. -
The Human Genome Project: Frequently Asked Questions
The Human Genome Project: Frequently Asked Questions On April 14, 2003, the National Human Genome Research Institute (NHGRI), the Department of Energy (DOE) and their partners in the International Human Genome Sequencing Consortium announced the successful completion of the Human Genome Project. What is a genome? A genome is an organism's complete set of deoxyribonucleic acid (DNA), a chemical compound that contains the genetic instructions needed to develop and direct the biological activities of every organism. DNA molecules are made of two twisting, paired strands. Each strand is made of four chemical units, called nucleotide bases. The bases are adenine (A), thymine (T), guanine (G) and cytosine (C). Bases on opposite strands pair specifically: an A always pairs with a T, and a C always with a G. The human genome contains approximately 3 billion of these base pairs, which reside in the 23 pairs of chromosomes within the nucleus of all our cells. The Human Genome’s Project’s principal task was determining the order or sequence of those As, Ts, Cs, and Gs. What is sequencing and how do you sequence a genome? Sequencing means determining the exact order of the base pairs in a segment of DNA. Human chromosomes range in size from about 50 million to 300 million base pairs. One complete set of genomic instructions is about 3 billion base pairs. Specialized machines called DNA sequencers – the technologies have rapidly evolved over the last decade – use techniques of biochemistry to automatically determine the base pair order and deposit the read out in a computer. -
Genomics and Human Identity Grades 7-12
Genomics and Human Identity Grades 7-12 Lesson 1 Inspired by the museum exhibit Genome: Unlocking Life’s Code unlockinglifescode.org Smithsonian National Museum of Natural History Genomics and Human Identity: Lesson 1 Genomics and Human Identity: Lesson Table of Contents Table of Contents.................................................................................................................2 About the Genomics and Human Identity lessons ..................................................3 Introduction to Lesson 1 – Alike and Different .........................................................3 Lesson Components ............................................................................................................4 Time .........................................................................................................................................4 Key Concepts .........................................................................................................................4 Learning Objectives ............................................................................................................4 Next Generation Science Standards .............................................................................4 Prerequisite Knowledge ....................................................................................................5 Materials and Handouts ....................................................................................................5 Preparation ............................................................................................................................6 -
Initial Upper Palaeolithic Humans in Europe Had Recent Neanderthal Ancestry
Article Initial Upper Palaeolithic humans in Europe had recent Neanderthal ancestry https://doi.org/10.1038/s41586-021-03335-3 Mateja Hajdinjak1,2 ✉, Fabrizio Mafessoni1, Laurits Skov1, Benjamin Vernot1, Alexander Hübner1,3, Qiaomei Fu4, Elena Essel1, Sarah Nagel1, Birgit Nickel1, Julia Richter1, Received: 7 July 2020 Oana Teodora Moldovan5,6, Silviu Constantin7,8, Elena Endarova9, Nikolay Zahariev10, Accepted: 5 February 2021 Rosen Spasov10, Frido Welker11,12, Geoff M. Smith11, Virginie Sinet-Mathiot11, Lindsey Paskulin13, Helen Fewlass11, Sahra Talamo11,14, Zeljko Rezek11,15, Svoboda Sirakova16, Nikolay Sirakov16, Published online: 7 April 2021 Shannon P. McPherron11, Tsenka Tsanova11, Jean-Jacques Hublin11,17, Benjamin M. Peter1, Open access Matthias Meyer1, Pontus Skoglund2, Janet Kelso1 & Svante Pääbo1 ✉ Check for updates Modern humans appeared in Europe by at least 45,000 years ago1–5, but the extent of their interactions with Neanderthals, who disappeared by about 40,000 years ago6, and their relationship to the broader expansion of modern humans outside Africa are poorly understood. Here we present genome-wide data from three individuals dated to between 45,930 and 42,580 years ago from Bacho Kiro Cave, Bulgaria1,2. They are the earliest Late Pleistocene modern humans known to have been recovered in Europe so far, and were found in association with an Initial Upper Palaeolithic artefact assemblage. Unlike two previously studied individuals of similar ages from Romania7 and Siberia8 who did not contribute detectably to later populations, these individuals are more closely related to present-day and ancient populations in East Asia and the Americas than to later west Eurasian populations. This indicates that they belonged to a modern human migration into Europe that was not previously known from the genetic record, and provides evidence that there was at least some continuity between the earliest modern humans in Europe and later people in Eurasia. -
Human Genetic Variation Section 3 Learning Objectives
Human Genetic Variation Section 3 Learning objectives • Describe differences in types of genetic variation and how they affect phenotypes. • Identify inheritance patterns of genotype-phenotype relationships. • Describe the differences and the pros and cons of sequencing vs genotyping. Zoom Poll Our Genome in Numbers 23 chromosome pairs 3.2 billion base-pairs (A,C,G,T) ~20,000 genes ~1.5% of the genome is coding DNA Genetic variation to phenotype variation The changes in DNA What we actually see (disease, trait) Single base change = Single Nucleotide Polymorphism/Variant (SNP/SNV) Genetic variant – changes in amino acid codons Synonymous mutation Nonsynonymous is usually worse than synonymous Nonsense mutation Nonsynonymous mutations Missense mutation Some missense mutations can be less bad Both polar Deletions/insertions “Frameshifts” Mutations happen all the time, with every replication Human genome mutation rate is ~1.1×10−8 per site per generation. Human genome is over 3 billion base pairs. Each genome: 3,000,000,000 sites Mutation rate: 0.000000011 errors/site How many new mutations do you expect in expect in each cell replication? Zoom Poll Sometimes we don’t change the protein itself… A gene includes a lot of DNA that doesn’t become protein A gene includes a lot of DNA that doesn’t become protein A variant here can change gene “expression” A gene includes a lot of DNA that doesn’t become protein Or here can change the “splice site” to make a different protein Zoom breakout – discuss Q1 Besides single base changes, what types of changes can we have? Genetic Variation – structural variation tandem repeats (Huntington’s disease) The normal function of huntingtin is unknown.