Basic Molecular Genetics for Epidemiologists F Calafell, N Malats
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Gene Mapping Techniques
Developmental Neurobiology, edited by Philippe Evrard and Alexandre Minkowski. Nestle Nutrition Workshop Series, Vol. 12. Nestec Ltd., Vevey/Raven Press, Ltd., New York © 1989. Gene Mapping Techniques Jean-Louis Guenet Institut Pasteur, 75724 Paris Cedex 15, France Very accurate gene mapping is essential in both man and laboratory mammals (1- 3). Several techniques have been used over the last 50 years to localize mammalian genes on the chromosomes of a given species. This chapter reviews these tech- niques, with special emphasis on the most recent ones that represent a true break- through in formal genetics. CLASSICAL GENE MAPPING TECHNIQUES AND THEIR LIMITATIONS When two genes are linked they have a tendency to cosegregate during successive generations. The closer the linkage, the more absolute is the cosegregation. This is the fundamental principle of gene mapping, which has been successfully applied to all species, including plants, over many years. In mammals such as humans and mice, the continued discovery of marker genes scattered throughout the genome has facilitated the mapping of new genes so that we now possess for these two species, particularly the mouse, linkage maps that are far more detailed than those existing for other mammals. In the mouse, special matings can be set up, with appropriate stocks, to test for possible autosomal linkage after two successive reproductive rounds: In general, cross-back crosses are used, cross-intercrosses being reserved for studies in which the viability or the fertility of the homozygous mutant under study is impaired. In humans investigations concerning linkage are based on pedigree analysis. In other words, for both species it is essential to define as a starting point a situa- tion where two genes are heterozygous and either in repulsion A + / + B or in cou- pling AB/ + +, then to look for changes in this configuration after a reproductive cycle (forms in coupling giving rise to forms in repulsion and vice versa), and fi- nally to count the percentage or frequency of these recombination events. -
Association Between Haplotypes and Specific Mutations in Swiss Cystic Fibrosis Families
003 I -3'19Xj9 1/3004-0304903.00/0 PEDIATRIC RESEARCH Vol. 30. No. 4, 199 1 Copyright (5 1991 International Pediatric Research Foundation. Inc. h.i~~rc,d~n U..S .,I Association between Haplotypes and Specific Mutations in Swiss Cystic Fibrosis Families SABINA LIECHTI-GALLATI. NASEEM MALIK, MUALLA ALKAN, MARC0 MAECHLER, MICHAEL MORRIS, FRANCINE THONNEY, FELIX SENNHAUSER. AND HANS MOSER Mrclic.al Gcnctics Unii, Dcy~ur/mo~to/'Pedinfrics (In.vel.~pitol). Universirv of Bun. 3010 Bern. S+t.itzerlancl [S.L.-G.. H. \I./: Dc,[)a~.~n~e/i/c!f Gc~ndics, Urli~~rr:cilj~ C'lli/dr.c,n'.c Ho.sl)ital. 4058 Rct.scl. S~.t'il~er.lr~tlrl/N.iC/., M.A I, 117slitrrcc~of iLlcelicol G'enclic.~,U~ri~~er.eitj~ c?fZuric/z, 8001 Zz~ricIi,Swi~z~rland /.IJLI.Mu.]; 11i.cfil~rle of Medicrcl Genetics, Uni1~wvi11,of Geticvu, Centre M6dical Uniro-situire, I21 1 Gencva 4. S~t~irzerluncl/Mi.Mo.J; Mediccrl Gcnrtic.~L'/li/. Uni~~c~r.sit~~of Lu~l.sc~nne, C'c~nrrc Hospitnlier U~iil~c~~sitaircI.i~ucloi.c.. 101 1 Larl.trrtlne. S~~~itserlanci [F T.];NIICI C/II/C/~CII'SHo.el~;tal. SI. Gallen, S~t.itzerlu~lc//F.S.] ABSTRACT. Cystic fibrosis (CF) is the most common CF is the most common severe autosomal recessive genetic severe autosomal recessive genetic disorder in Caucasian disorder in Caucasian populations. with an incidence of about 1 populations, with an incidence of about 1 in 2000 live in 2000 live births, implying a carrier frequency of about 1 in births, implying a carrier frequency of about 1 in 22. -
Stable and Widespread Structural Heteroplasmy in Chloroplast Genomes Revealed by a New Long-Read Quantification Method
bioRxiv preprint doi: https://doi.org/10.1101/692798; this version posted July 11, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Classification: Biological Sciences, Evolution Title: Stable and widespread structural heteroplasmy in chloroplast genomes revealed by a new long-read quantification method Weiwen Wang a, Robert Lanfear a a Research School of Biology, Australian National University, Canberra, ACT, Australia, 2601 Corresponding Author: Weiwen Wang, [email protected] Robert Lanfear, [email protected], +61 2 6125 2536 Keywords: Single copy inversion, flip-flop recombination, chloroplast genome structural heteroplasmy 1 bioRxiv preprint doi: https://doi.org/10.1101/692798; this version posted July 11, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Abstract 2 The chloroplast genome usually has a quadripartite structure consisting of a large 3 single copy region and a small single copy region separated by two long inverted 4 repeats. It has been known for some time that a single cell may contain at least two 5 structural haplotypes of this structure, which differ in the relative orientation of the 6 single copy regions. However, the methods required to detect and measure the 7 abundance of the structural haplotypes are labour-intensive, and this phenomenon 8 remains understudied. -
The Genetic Background of Anticipation P Teisberg MD
JOURNAL OF THE ROYAL SOCIETY OF MEDICINE Volume 88 April 1995 The genetic background of anticipation P Teisberg MD J R Soc Med 1995;88:185-187 Keywords: genetics; anticipation; triplet repeats; neurological disorders Anticipation was controversial impairment and increased infant mortality were observed. Anticipation may be defined as the occurrence of a genetic The sequence of events often ends in congenital MD with its disorder at progressively earlier ages in successive severe clinical manifestation of mental retardation and generations. The disease moreover occurs with increasing muscular dystrophy. Later, clinical studies confirmed these severity. The concept emerged early in this century mainly observations and described a dominant inheritance pattern through descriptive dinical studies ofmyotonic dystrophy1'2. which could not be explained by classical Mendelian Later studies have added other disease entities to a list of mechanisms8. states showing anticipation, the most notable being Another phenomenon which did not fit easily into the Huntington's disease3. In one form of inherited mental concepts of genetics was the finding that congenital MD was retardation, the fragile X syndrome, the term 'the Sherman transmitted almost exclusively via affected mothers9. paradox' describes a very similar phenomenon4. In the fragile X syndrome, anticipation is manifested in a Towards the middle of this century, basic research in different manner. This is the most common cause of familial genetics had given us a much clearer understanding of mental retardation. It segregates in families as an X-linked Mendelian inheritance. It became increasingly difficult to dominant disorder with reduced penetrance. When reconcile the originally described phenomenon of chromosomes are stained a fragile site on the X anticipation with a concept of genes as stable elements chromosome may be seen in a proportion of cells taken only changed by the rare mutation. -
Population Genetic Considerations for Using Biobanks As International
Carress et al. BMC Genomics (2021) 22:351 https://doi.org/10.1186/s12864-021-07618-x REVIEW Open Access Population genetic considerations for using biobanks as international resources in the pandemic era and beyond Hannah Carress1, Daniel John Lawson2 and Eran Elhaik1,3* Abstract The past years have seen the rise of genomic biobanks and mega-scale meta-analysis of genomic data, which promises to reveal the genetic underpinnings of health and disease. However, the over-representation of Europeans in genomic studies not only limits the global understanding of disease risk but also inhibits viable research into the genomic differences between carriers and patients. Whilst the community has agreed that more diverse samples are required, it is not enough to blindly increase diversity; the diversity must be quantified, compared and annotated to lead to insight. Genetic annotations from separate biobanks need to be comparable and computable and to operate without access to raw data due to privacy concerns. Comparability is key both for regular research and to allow international comparison in response to pandemics. Here, we evaluate the appropriateness of the most common genomic tools used to depict population structure in a standardized and comparable manner. The end goal is to reduce the effects of confounding and learn from genuine variation in genetic effects on phenotypes across populations, which will improve the value of biobanks (locally and internationally), increase the accuracy of association analyses and inform developmental efforts. Keywords: Bioinformatics, Population structure, Population stratification bias, Genomic medicine, Biobanks Background individuals, families, communities and populations, ne- Association studies aim to detect whether genetic vari- cessitated genomic biobanks. -
Progressive Increase in Mtdna 3243A>G Heteroplasmy Causes Abrupt
Progressive increase in mtDNA 3243A>G PNAS PLUS heteroplasmy causes abrupt transcriptional reprogramming Martin Picarda, Jiangwen Zhangb, Saege Hancockc, Olga Derbenevaa, Ryan Golhard, Pawel Golike, Sean O’Hearnf, Shawn Levyg, Prasanth Potluria, Maria Lvovaa, Antonio Davilaa, Chun Shi Lina, Juan Carlos Perinh, Eric F. Rappaporth, Hakon Hakonarsonc, Ian A. Trouncei, Vincent Procaccioj, and Douglas C. Wallacea,1 aCenter for Mitochondrial and Epigenomic Medicine, Children’s Hospital of Philadelphia and the Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104; bSchool of Biological Sciences, The University of Hong Kong, Hong Kong, People’s Republic of China; cTrovagene, San Diego, CA 92130; dCenter for Applied Genomics, Division of Genetics, Department of Pediatrics, and hNucleic Acid/Protein Research Core Facility, Children’s Hospital of Philadelphia, Philadelphia, PA 19104; eInstitute of Genetics and Biotechnology, Warsaw University, 00-927, Warsaw, Poland; fMorton Mower Central Research Laboratory, Sinai Hospital of Baltimore, Baltimore, MD 21215; gGenomics Sevices Laboratory, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806; iCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC 3002, Australia; and jDepartment of Biochemistry and Genetics, National Center for Neurodegenerative and Mitochondrial Diseases, Centre Hospitalier Universitaire d’Angers, 49933 Angers, France Contributed by Douglas C. Wallace, August 1, 2014 (sent for review May -
Genome-Wide Association Identifies Candidate Genes That Influence The
Genome-wide association identifies candidate genes that influence the human electroencephalogram Colin A. Hodgkinsona,1, Mary-Anne Enocha, Vibhuti Srivastavaa, Justine S. Cummins-Omana, Cherisse Ferriera, Polina Iarikovaa, Sriram Sankararamanb, Goli Yaminia, Qiaoping Yuana, Zhifeng Zhoua, Bernard Albaughc, Kenneth V. Whitea, Pei-Hong Shena, and David Goldmana aLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, Rockville, MD 20852; bComputer Science Department, University of California, Berkeley, CA 94720; and cCenter for Human Behavior Studies, Weatherford, OK 73096 Edited* by Raymond L. White, University of California, Emeryville, CA, and approved March 31, 2010 (received for review July 23, 2009) Complex psychiatric disorders are resistant to whole-genome reflects rhythmic electrical activity of the brain. EEG patterns analysis due to genetic and etiological heterogeneity. Variation in dynamically and quantitatively index cortical activation, cognitive resting electroencephalogram (EEG) is associated with common, function, and state of consciousness. EEG traits were among the complex psychiatric diseases including alcoholism, schizophrenia, original intermediate phenotypes in neuropsychiatry, having been and anxiety disorders, although not diagnostic for any of them. EEG first recorded in humans in 1924 by Hans Berger, who documented traits for an individual are stable, variable between individuals, and the α rhythm, seen maximally during states of relaxation with eyes moderately to highly heritable. Such intermediate phenotypes closed, and supplanted by faster β waves during mental activity. appear to be closer to underlying molecular processes than are EEG can be used clinically for the evaluation and differential di- clinical symptoms, and represent an alternative approach for the agnosis of epilepsy and sleep disorders, differentiation of en- identification of genetic variation that underlies complex psychiat- cephalopathy from catatonia, assessment of depth of anesthesia, ric disorders. -
Original Articles Anticipation Resulting in Elimination of the Myotonic
J7 Med Genet 1994;31:595-601 595 Original articles J Med Genet: first published as 10.1136/jmg.31.8.595 on 1 August 1994. Downloaded from Anticipation resulting in elimination of the myotonic dystrophy gene: a follow up study of one extended family C E M de Die-Smulders, C J Howeler, J F Mirandolle, H G Brunner, V Hovers, H Bruggenwirth, H J M Smeets, J P M Geraedts Abstract muscular manifestations, it is characterised by We have re-examined an extended myo- multiple systemic effects including cataract, tonic dystrophy (DM) family, previously mental retardation, cardiac involvement, and described in 1955, in order to study the testicular atrophy. Extreme variability is one of long term effects of anticipation in DM the hallmarks of the disease; clinical studies and in particular the implications for have led to the recognition of four disease types families affected by this disease. This fol- on the basis of age at onset and core symptoms: low up study provides data on 35 gene late onset (mild) type, adult onset (classical) carriers and 46 asymptomatic at risk type, childhood, and congenital type.'"3 family members in five generations. Anticipation, increasing severity and earlier Clinical anticipation, defined as the cas- age at onset in successive generations, has been cade ofmild, adult, childhood, or congen- observed in DM since the beginning of this ital disease in subsequent generations, century, but remained unexplained and contro- appeared to be a relentless process, oc- versial until recently."- With the discovery of curring in all affected branches of the an unstable CTG trinucleotide repeat in the 3' family. -
Genetic Code
AccessScience from McGraw-Hill Education Page 1 of 9 www.accessscience.com Genetic code Contributed by: P. Schimmel, K. Ewalt Publication year: 2014 The rules by which the base sequences of deoxyribonucleic acid (DNA) are translated into the amino acid sequences of proteins. Each sequence of DNA that codes for a protein is transcribed or copied ( Fig. 1 ) into messenger ribonucleic acid (mRNA). Following the rules of the code, discrete elements in the mRNA, known as codons, specify each of the 20 different amino acids that are the constituents of proteins. In a process called translation, the cell decodes the message in mRNA. During translation ( Fig. 2 ), another class of RNAs, called transfer RNAs (tRNAs), are coupled to amino acids, bind to the mRNA, and in a step-by-step fashion provide the amino acids that are linked together in the order called for by the mRNA sequence. The specific attachment of each amino acid to the appropriate tRNA, and the precise pairing of tRNAs via their anticodons to the correct codons in the mRNA, form the basis of the genetic code. See also: DEOXYRIBONUCLEIC ACID (DNA) ; PROTEIN ; RIBONUCLEIC ACID (RNA) . Universal genetic code The genetic information in DNA is found in the sequence or order of four bases that are linked together to form each strand of the two-stranded DNA molecule. The bases of DNA are adenine, guanine, thymine, and cytosine, which are abbreviated A, G, T, and C. Chemically, A and G are purines, and C and T are pyrimidines. The two strands of DNA are wound about each other in a double helix that looks like a twisted ladder (Fig. -
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. -
Dna the Code of Life Worksheet
Dna The Code Of Life Worksheet blinds.Forrest Jowled titter well Giffy as misrepresentsrecapitulatory Hughvery nomadically rubberized herwhile isodomum Leonerd exhumedremains leftist forbiddenly. and sketchable. Everett clem invincibly if arithmetical Dawson reinterrogated or Rewriting the Code of Life holding for Genetics and Society. C A process look a genetic code found in DNA is copied and converted into value chain of. They may negatively impact of dna worksheet answers when published by other. Cracking the Code of saw The Biotechnology Institute. DNA lesson plans mRNA tRNA labs mutation activities protein synthesis worksheets and biotechnology experiments for open school property school biology. DNA the code for life FutureLearn. Cracked the genetic code to DNA cloning twins and Dolly the sheep. Dna are being turned into consideration the code life? DNA The Master Molecule of Life CDN. This window or use when he has been copied to a substantial role in a qualified healthcare professional journals as dna the pace that the class before scientists have learned. Explore the Human Genome Project within us Learn about DNA and genomics role in medicine and excellent at the Smithsonian National Museum of Natural. DNA The Double Helix. Most enzymes create a dna the code of life worksheet is getting the. Worksheet that describes the structure of DNA students color the model according to instructions Includes a. Biology Materials Handout MA-H2 Microarray Virtual Lab Activity Worksheet. This user has, worksheet the dna code of life, which proteins are carried on. Notes that scientists have worked 10 years to disappoint the manner human genome explains that DNA is a chemical message that began more data four billion years ago. -
Expression Quantitative Trait Loci and the Phenogen
TECHNOLOGIES FROM THE FIELD EXPRESSION QUANTITATIVE TRAIT LOCI AND Like experimental technologies, techniques for analyz THE PHENOGEN DATABASE ing the data generated from the microarray technologies continue to evolve. Initially, researchers obtained data for several thousand genes but on a relatively small number of Laura Saba, Ph.D.; Paula L. Hoffman, Ph.D.; subjects. After applying the appropriate statistics and multi Cheryl Hornbaker; Sanjiv V. Bhave, Ph.D.; and ple comparison adjustment, the investigators would com Boris Tabakoff, Ph.D. pile from these a list of potential candidates that could contribute to the phenotype under investigation. In many KEY WORDS: Genetic theory of alcohol and other drug use; cases, this list would contain several hundred genes. For a microarray technologies; microarray analysis; phenotype; researcher who is looking to take a few candidate genes to candidate gene; qualitative trait locus (QTL); expression qualitative the next step of testing, such a long list was problematic. trait locus (eQTL); gene expression; gene transcription; genetics; With only limited resources and time available, the researcher genomics; transcriptomics; high-throughput analysis; messenger was forced to pick some “favorites” from the list for further RNA (mRNA); brain; laboratory mice; laboratory rats; PhenoGen testing. More recently, however, techniques have been Database developed to systematically narrow these lists. These approaches incorporate biological reasoning to avoid a subjective choice of candidate genes. The following section describes esearchers from a wide variety of backgrounds and one of these strategies. with a broad range of goals have utilized high- R throughput screening technologies (i.e., microarray technologies) to identify candidate genes that may be associ Behavioral and Expression Quantitative ated with an observable characteristic or behavior (i.e., phe Trait Loci for Selecting Candidate Genes notype) of interest.