Interpreting Your FTDNA & 23Andme Results Mary Eberle, JD Mary
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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. -
Family Tree Dna Complaints
Family Tree Dna Complaints If palladous or synchronal Zeus usually atrophies his Shane wadsets haggishly or beggar appealingly and soberly, how Peronist is Kaiser? Mongrel and auriferous Bradford circlings so paradigmatically that Clifford expatiates his dischargers. Ropier Carter injects very indigestibly while Reed remains skilful and topfull. Family finder results will receive an answer Of torch the DNA testing companies FamilyTreeDNA does not score has strong marks from its users In summer both 23andMe and AncestryDNA score. Sent off as a tree complaints about the aclu attorney vera eidelman wrote his preteen days you hand parts to handle a tree complaints and quickly build for a different charts and translation and. Family Tree DNA Reviews Legit or Scam Reviewopedia. Want to family tree dna family tree complaints. Everything about new england or genetic information contained some reason or personal data may share dna family complaints is the results. Family Tree DNA 53 Reviews Laboratory Testing 1445 N. It yourself help to verify your family modest and excellent helpful clues to inform. A genealogical relationship is integrity that appears on black family together It's documented by how memory and traditional genealogical research. These complaints are dna family complaints. The private history website Ancestrycom is selling a new DNA testing service called AncestryDNA But the DNA and genetic data that Ancestrycom collects may be. Available upon request to family tree dna complaints about family complaints and. In the authors may be as dna family tree complaints and visualise the mixing over the match explanation of your genealogy testing not want organized into the raw data that is less. -
Development of Novel SNP Assays for Genetic Analysis of Rare Minnow (Gobiocypris Rarus) in a Successive Generation Closed Colony
diversity Article Development of Novel SNP Assays for Genetic Analysis of Rare Minnow (Gobiocypris rarus) in a Successive Generation Closed Colony Lei Cai 1,2,3, Miaomiao Hou 1,2, Chunsen Xu 1,2, Zhijun Xia 1,2 and Jianwei Wang 1,4,* 1 The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430070, China; [email protected] (L.C.); [email protected] (M.H.); [email protected] (C.X.); [email protected] (Z.X.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510663, China 4 National Aquatic Biological Resource Center, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430070, China * Correspondence: [email protected] Received: 10 November 2020; Accepted: 11 December 2020; Published: 18 December 2020 Abstract: The complex genetic architecture of closed colonies during successive passages poses a significant challenge in the understanding of the genetic background. Research on the dynamic changes in genetic structure for the establishment of a new closed colony is limited. In this study, we developed 51 single nucleotide polymorphism (SNP) markers for the rare minnow (Gobiocypris rarus) and conducted genetic diversity and structure analyses in five successive generations of a closed colony using 20 SNPs. The range of mean Ho and He in five generations was 0.4547–0.4983 and 0.4445–0.4644, respectively. No significant differences were observed in the Ne, Ho, and He (p > 0.05) between the five closed colony generations, indicating well-maintained heterozygosity. -
The Polymerase Chain Reaction (PCR): the Second Generation of DNA Analysis Methods Takes the Stand, 9 Santa Clara High Tech
Santa Clara High Technology Law Journal Volume 9 | Issue 1 Article 8 January 1993 The olP ymerase Chain Reaction (PCR): The Second Generation of DNA Analysis Methods Takes the Stand Kamrin T. MacKnight Follow this and additional works at: http://digitalcommons.law.scu.edu/chtlj Part of the Law Commons Recommended Citation Kamrin T. MacKnight, The Polymerase Chain Reaction (PCR): The Second Generation of DNA Analysis Methods Takes the Stand, 9 Santa Clara High Tech. L.J. 287 (1993). Available at: http://digitalcommons.law.scu.edu/chtlj/vol9/iss1/8 This Comment is brought to you for free and open access by the Journals at Santa Clara Law Digital Commons. It has been accepted for inclusion in Santa Clara High Technology Law Journal by an authorized administrator of Santa Clara Law Digital Commons. For more information, please contact [email protected]. THE POLYMERASE CHAIN REACTION (PCR): THE SECOND GENERATION OF DNA ANALYSIS METHODS TAKES THE STAND Kamrin T. MacKnightt TABLE OF CONTENTS INTRODUCTION ........................................... 288 BASIC GENETICS AND DNA REPLICATION ................. 289 FORENSIC DNA ANALYSIS ................................ 292 Direct Sequencing ....................................... 293 Restriction FragmentLength Polymorphism (RFLP) ...... 294 Introduction .......................................... 294 Technology ........................................... 296 Polymerase Chain Reaction (PCR) ....................... 300 H istory ............................................... 300 Technology .......................................... -
Codis Dna Database
INDIANAPOLIS-MARION COUNTY FORENSIC SERVICES AGENCY Doctor Dennis J. Nicholas Institute of Forensic Science 40 SOUTH ALABAMA STREET INDIANAPOLIS, INDIANA 46204 PHONE (317) 327-3670 FAX (317) 327-3607 Michael Medler Laboratory Director Evidence Submission Guideline #7 CODIS DNA DATABASE The Combined DNA Index System (CODIS) is a computer database of DNA profiles used to solve crimes across the United States. In Indiana, DNA profiles obtained from the following categories can be entered into CODIS by the Indianapolis Marion County Forensic Services Agency: crime scene evidence, missing persons and unidentified human remains. The purpose of the database is to generate investigative leads. Not all cases are considered CODIS eligible. CODIS is maintained at the national level by the Federal Bureau of Investigation which has requirements to determine the eligibility of a DNA profile for CODIS entry. A continued “life of crime” or the high incidence of recidivism in criminals is the concept upon which the DNA database program is based. If a convicted offender’s profile matches crime scene evidence, this can identify a potential suspect(s). The database can also link multiple unsolved crimes to identify serial offenses and connect agencies who can then work together in the investigation. Finally, CODIS can be used to identify human remains by matching them to missing persons or to their biological relatives. To maximize the value of this program, biological evidence from unsolved crimes and missing persons cases must be analyzed and the DNA profile developed is entered into CODIS. I. NO SUSPECT/UNSOLVED CASES A. All unsolved cases with potential probative DNA qualifying case evidence, including those with no suspects, should be submitted to the Indianapolis-Marion County Forensic Services Agency (IMCFSA) for analysis. -
The Police National DNA Database: Balancing Crime Detection, Human Rights and Privacy
The Police National DNA Database: Balancing Crime Detection, Human Rights and Privacy A Report by GeneWatch UK The Police National DNA Database: Balancing Crime Detection, Human Rights and Privacy. A Report for GeneWatch UK by Kristina Staley January 2005 The Mill House, Manchester Road, Tideswell, Buxton Derbyshire, SK17 8LN, UK GeneWatch Phone: 01287 871898 Fax: 01298 872531 E-mail: [email protected] UK Website: www.genewatch.org Acknowledgements GeneWatch would like to thank Jan van Aken, Sarah Sexton and Paul Johnson for their helpful comments on a draft of this report. Kristina Staley would also like to thank Val Sales for her help in preparing the report. The content of the final report remains the responsibility of GeneWatch UK. Cover photograph DNA genetic fingerprinting on fingerprint blue backdrop. © Adam Hart-Davis, http://www.adam-hart-davis.org/ GeneWatch UK 2 January 2005 Contents 1 Executive summary ................................................................................................................5 2 Introduction...........................................................................................................................10 3 What is the National DNA Database?..................................................................................11 3.1 Using DNA to identify individuals...................................................................................11 3.2 How the police use DNA................................................................................................12 3.3 Concerns -
National DNA Databases 2011
NATIONAL FORENSIC DNA DATABASES COUNCIL FOR RESPONSIBLE GENETICS ANDREW D. THIBEDEAU, J.D. SENIOR FELLOW National DNA Databases 2011 National Forensic DNA Databases Table of Contents Executive Summary .................................................................................................................. - 5 - Summary Table ..................................................................................................................... - 5 - Laws on Point ...................................................................................................................... - 10 - Entry Criteria ...................................................................................................................... - 13 - Introduction & Trends ........................................................................................................... - 15 - National Status Reports Part I - Operational DNA Databases ........................................... - 19 - Australia............................................................................................................................... - 20 - Austria .................................................................................................................................. - 24 - Bahrain................................................................................................................................. - 27 - Belarus ................................................................................................................................. - -
Inference and Analysis of Population Structure Using Genetic Data and Network Theory
| INVESTIGATION Inference and Analysis of Population Structure Using Genetic Data and Network Theory Gili Greenbaum,*,†,1 Alan R. Templeton,‡,§ and Shirli Bar-David† *Department of Solar Energy and Environmental Physics and †Mitrani Department of Desert Ecology, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, 84990 Midreshet Ben-Gurion, Israel, ‡Department of Biology, Washington University, St. Louis, Missouri 63130, and §Department of Evolutionary and Environmental Ecology, University of Haifa, 31905 Haifa, Israel ABSTRACT Clustering individuals to subpopulations based on genetic data has become commonplace in many genetic studies. Inference about population structure is most often done by applying model-based approaches, aided by visualization using distance- based approaches such as multidimensional scaling. While existing distance-based approaches suffer from a lack of statistical rigor, model-based approaches entail assumptions of prior conditions such as that the subpopulations are at Hardy-Weinberg equilibria. Here we present a distance-based approach for inference about population structure using genetic data by defining population structure using network theory terminology and methods. A network is constructed from a pairwise genetic-similarity matrix of all sampled individuals. The community partition, a partition of a network to dense subgraphs, is equated with population structure, a partition of the population to genetically related groups. Community-detection algorithms are used to partition the network into communities, interpreted as a partition of the population to subpopulations. The statistical significance of the structure can be estimated by using permutation tests to evaluate the significance of the partition’s modularity, a network theory measure indicating the quality of community partitions. -
Determining the Identifiability of DNA Database Entries
Student Paper Finalist In Proceedings of the American Medical Informatics Association Annual Symposium. pp 547-551. Nov 2000. Determining the Identifiability of DNA Database Entries Bradley Malin 1 and Latanya Sweeney 2 1Department of Biological Sciences 2School of Computer Science and Heinz School of Public Policy Carnegie Mellon University Pittsburgh, Pennsylvania CleanGene is a software program that helps determine The rise in genetic data and resulting the identifiability of sequenced DNA, independent of databases have a variety of uses in genetic and any explicit demographics or identifiers maintained molecular biology research, including the ability to with the DNA. The program computes the likelihood determine hotspots of mutation in genes and familial that the release of DNA database entries could be studies. Despite the considerable amount of basic and related to specific individuals that are the subjects of clinical research that may benefit from the availability the data. The engine within CleanGene relies on of such data, care must be taken when such data are publicly available health care data and on knowledge population based. The issue of genetic privacy is of of particular diseases to help relate identified utmost concern and must be addressed in terms of what individuals to DNA entries. Over 20 diseases, ranging information can be leaked before population based over ataxias, blood diseases, and sex-linked mutations DNA data is shared. are accounted for, with 98-100% of individuals found identifiable. We assume the genetic material is BACKGROUND released in a linear sequencing format from an individual’s genome. CleanGene and its related To facilitate radical increases in human experiments are useful tools for any institution seeking genetic research information and expedite scientific to provide anonymous genetic material for research discovery, the National Center for Biotechnology purposes. -
National DNA Databases—Practice and Practicability. a Forum for Discussion
International Congress Series 1261 (2004) 1–8 www.ics-elsevier.com National DNA databases—practice and practicability. A forum for discussion Peter D. Martin* Ex-Metropolitan Police Laboratory, London, La Borderie, 87440 Saint Mathieu, France Abstract. The success of the established National DNA databases (NDNAD) in linking crimes and nominating possible suspects has prompted many countries to enact legislation for the introduction of their own databases. While the technology used in the production of the DNA profiles remains consistent (there is a core set of STR loci common to all laboratories), there is considerable variation in the regulations which cover the entry of personal profiles. Five invited speakers presented the current situation with NDNADs in Europe and North America. The presentations included: (1) the various categories of crime for which a profile can be entered onto a database; (2) the numbers of profiles held on the databases; (3) whether the DNA samples can be retained for future analysis; (4) the successes of the various databases; (5) the interaction between the operators of the databases and other elements of the criminal justice systems. There were also discussions of the possible future technological developments that may affect the databases and a cautionary note on the quality measures necessary to ensure accuracy of analysis and database management and the potential for the misuse of the data retained. D 2003 Elsevier B.V. All rights reserved. Keywords: National DNA database; DNA profile; STR multiplexes 1. Introduction DNA databases for criminal offenders and unsolved crimes have now become established in many countries as an everyday tool for use in the investigation of crime. -
Cancer Genomics Terminology
Cancer Genomics Terminology Acquired Susceptibility Mutation: A mutation in a gene that occurs after birth from a carcinogenic insult. Allele: One of the variant forms of a gene. Different alleles may produce variation in inherited characteristics. Allele Heterogeneity: A phenotype that can be produced by different genetic mechanisms. Amino Acid: The building blocks of protein, for which DNA carries the genetic code. Analytical Sensitivity: The proportion of positive test results correctly reported by the laboratory among samples with a mutation(s) that the laboratory’s test is designed to detect. Analytic Specificity: The proportion of negative test results correctly reported among samples when no detectable mutation is present. Analytic Validity: A test’s ability to accurately and reliably measure the genotype of interest. Apoptosis: Programmed cell death. Ashkenazi: Individuals of Eastern European Jewish ancestry/decent (For example-Germany and Poland). Non-assortative mating occurred in this population. Association: When significant differences in allele frequencies are found between a disease and control population, the disease and allele are said to be in association. Assortative Mating: In population genetics, selective mating in a population between individuals that are genetically related or have similar characteristics. Autosome: Any chromosome other than a sex chromosome. Humans have 22 pairs numbered 1-22. Base Excision Repair Gene: The gene responsible for the removal of a damaged base and replacing it with the correct nucleotide. Base Pair: Two bases, which form a “rung on the DNA ladder”. Bases are the “letters” (Adenine, Thymine, Cytosine, Guanine) that spell out the genetic code. Normally adenine pairs with thymine and cytosine pairs with guanine. -
Searching the Internet for Genealogical and Family History Records
Searching the Internet for Genealogical and Family History Records Welcome Spring 2019 1 Joseph Sell Gain confidence in your searching Using Genealogy sources to find records Course Objectives Improve your search skills Use research libraries and repositories 2 Bibliography • Built on the course George King has presented over several years • “The Complete Idiot’s Guide to Genealogy” Christine Rose and Kay Germain Ingalls • “The Sources – A Guidebook to American Genealogy” –(ed) Loretto Dennis Szuco and Sandra Hargreaves Luebking • “The Genealogy Handbook” – Ellen Galford • “Genealogy Online for Dummies” – Matthew L Helm and April Leigh Helm • “Genealogy Online” – Elizabeth Powell Crowe • “The Everything Guide to Online Genealogy” – Kimberly Powell • “Discover the 101 Genealogy Websites That Take the Cake in 2015” – David A Frywell (Family Tree Magazine Sept 2015 page 16) 3 Bibliography (Continued) • “Social Networking for Genealogist”, Drew Smith • “The Complete Beginner’s Guide to Genealogy, the Internet, and Your Genealogy Computer Program”, Karen Clifford • “Advanced Genealogy – Research Techniques” George G Morgan and Drew Smith • “101 of the Best Free Websites for Climbing Your Family Tree” – Nancy Hendrickson • “AARP Genealogy Online tech to connect” – Matthew L Helm and April Leigh Helm • Family Tree Magazine 4 • All records are the product of human endeavor • To err is human • Not all records are online; most General records are in local repositories Comments • Find, check, and verify the accuracy of all information • The internet is a dynamic environment with content constantly changing 5 • Tip 1: Start with the basic facts, first name, last name, a date, and a place. • Tip 2: Learn to use control to filter hits.