Basic Glossary on Genetic Epidemiology N Malats, F Calafell
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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. -
A Chloroplast Gene Is Converted Into a Nucleargene
Proc. Nati. Acad. Sci. USA Vol. 85, pp. 391-395, January 1988 Biochemistry Relocating a gene for herbicide tolerance: A chloroplast gene is converted into a nuclear gene (QB protein/atrazine tolerance/transit peptide) ALICE Y. CHEUNG*, LAWRENCE BOGORAD*, MARC VAN MONTAGUt, AND JEFF SCHELLt: *Department of Cellular and Developmental Biology, 16 Divinity Avenue, The Biological Laboratories, Harvard University, Cambridge, MA 02138; tLaboratorium voor Genetica, Rijksuniversiteit Ghent, B-9000 Ghent, Belgium; and TMax-Planck-Institut fur Zuchtungsforschung, D-500 Cologne 30, Federal Republic of Germany Contributed by Lawrence Bogorad, September 30, 1987 ABSTRACT The chloroplast gene psbA codes for the the gene for ribulose bisphosphate carboxylase/oxygenase photosynthetic quinone-binding membrane protein Q which can transport the protein product into chloroplasts (5). We is the target of the herbicide atrazine. This gene has been have spliced the coding region of the psbA gene isolated converted into a nuclear gene. The psbA gene from an from the chloroplast DNA of the atrazine-resistant biotype atrazine-resistant biotype of Amaranthus hybridus has been of Amaranthus to the transcriptional-control and transit- modified by fusing its coding region to transcription- peptide-encoding regions of a nuclear gene, ss3.6, for the regulation and transit-peptide-encoding sequences of a bona SSU of ribulose bisphosphate carboxylase/oxygenase of pea fide nuclear gene. The constructs were introduced into the (6). The fusion-gene constructions (designated SSU-ATR) nuclear genome of tobacco by using the Agrobacteium tumor- were introduced into tobacco plants via the Agrobacterium inducing (Ti) plasmid system, and the protein product of tumor-inducing (Ti) plasmid transformation system using the nuclear psbA has been identified in the photosynthetic mem- disarmed Ti plasmid vector pGV3850 (7). -
Estimation of DNA Contamination and Its Sources in Genotyped Samples
Gregory Zajac ORCID iD: 0000-0001-6411-9666 Estimation of DNA contamination and its sources in genotyped samples Gregory J. M. Zajac1; Lars G. Fritsche1; Joshua S. Weinstock1; Susan L. Dagenais2; Robert H. Lyons2; Chad M. Brummett3; Gonçalo. R. Abecasis1 1) Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI; MI; 2) Department of Biological Chemistry and DNA Sequencing Core, University of Michigan, Ann Arbor, MI; 3) Department of Anesthesiology, Division of Pain Medicine, University of Michigan Medical School, Ann Arbor, MI. Corresponding author: Gregory JM Zajac 734-763-5315 [email protected] University of Michigan School of Public Health - Department of Biostatistics 1415 Washington Heights Ann Arbor, MI 48109-2029 Grant Numbers: HG007022 Author Manuscript This is the author manuscript accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/gepi.22257. This article is protected by copyright. All rights reserved. Abstract Array genotyping is a cost-effective and widely used tool that enables assessment of up to millions of genetic markers in hundreds of thousands of individuals. Genotyping array data are typically highly accurate but sensitive to mixing of DNA samples from multiple individuals prior to or during genotyping. Contaminated samples can lead to genotyping errors and consequently cause false positive signals or reduce power of association analyses. Here, we propose a new method to identify contaminated samples and the sources of contamination within a genotyping batch. -
Y-Chromosome Short Tandem Repeat, Typing Technology, Locus Information and Allele Frequency in Different Population: a Review
Vol. 14(27), pp. 2175-2178, 8 July, 2015 DOI:10.5897/AJB2015.14457 Article Number: 2E48C3F54052 ISSN 1684-5315 African Journal of Biotechnology Copyright © 2015 Author(s) retain the copyright of this article http://www.academicjournals.org/AJB Review Y-Chromosome short tandem repeat, typing technology, locus information and allele frequency in different population: A review Muhanned Abdulhasan Kareem1, Ameera Omran Hussein2 and Imad Hadi Hameed2* 1Babylon University, Centre of Environmental Research, Hilla City, Iraq. 2Department of Molecular Biology, Babylon University, Hilla City, Iraq. Received 29 January, 2015; Accepted 29 June, 2015 Chromosome Y microsatellites seem to be ideal markers to delineate differences between human populations. They are transmitted in uniparental and they are very sensitive for genetic drift. This review will highlight the importance of the Y- Chromosome as a tool for tracing human evolution and describes some details of Y-chromosomal short tandem repeat (STR) analysis. Among them are: microsatellites, amplification using polymerase chain reaction (PCR) of STRs, separation and detection and advantages of X-chromosomal microsatellites. Key words: Forensic, population, review, STR, Y- chromosome. INTRODUCTION Microsatellites are DNA regions with repeat units that are microsatellite, but repeats of five (penta-) or six (hexa-) 2 to 7 bp in length or most generally short tandem nucleotides are usually classified as microsatellites as repeats (STRs) or simple sequence repeats (SSRs) well. DNA can be used to study human evolution. (Ellegren, 2000; Imad et al., 2014). The classification of Besides, information from DNA typing is important for the DNA sequences is determined by the length of the medico-legal matters with polymorphisms leading to more core repeat unit and the number of adjacent repeat units. -
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. -
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. -
Combinatorial Genomic Data Refute the Human Chromosome 2 Evolutionary Fusion and Build a Model of Functional Design for Interstitial Telomeric Repeats
The Proceedings of the International Conference on Creationism Volume 8 Print Reference: Pages 222-228 Article 32 2018 Combinatorial Genomic Data Refute the Human Chromosome 2 Evolutionary Fusion and Build a Model of Functional Design for Interstitial Telomeric Repeats Jeffrey P. Tomkins Institute for Creation Research Follow this and additional works at: https://digitalcommons.cedarville.edu/icc_proceedings Part of the Biology Commons, and the Genomics Commons DigitalCommons@Cedarville provides a publication platform for fully open access journals, which means that all articles are available on the Internet to all users immediately upon publication. However, the opinions and sentiments expressed by the authors of articles published in our journals do not necessarily indicate the endorsement or reflect the views of DigitalCommons@Cedarville, the Centennial Library, or Cedarville University and its employees. The authors are solely responsible for the content of their work. Please address questions to [email protected]. Browse the contents of this volume of The Proceedings of the International Conference on Creationism. Recommended Citation Tomkins, J.P. 2018. Combinatorial genomic data refute the human chromosome 2 evolutionary fusion and build a model of functional design for interstitial telomeric repeats. In Proceedings of the Eighth International Conference on Creationism, ed. J.H. Whitmore, pp. 222–228. Pittsburgh, Pennsylvania: Creation Science Fellowship. Tomkins, J.P. 2018. Combinatorial genomic data refute the human chromosome 2 evolutionary fusion and build a model of functional design for interstitial telomeric repeats. In Proceedings of the Eighth International Conference on Creationism, ed. J.H. Whitmore, pp. 222–228. Pittsburgh, Pennsylvania: Creation Science Fellowship. COMBINATORIAL GENOMIC DATA REFUTE THE HUMAN CHROMOSOME 2 EVOLUTIONARY FUSION AND BUILD A MODEL OF FUNCTIONAL DESIGN FOR INTERSTITIAL TELOMERIC REPEATS Jeffrey P. -
DNA Microarrays (Gene Chips) and Cancer
DNA Microarrays (Gene Chips) and Cancer Cancer Education Project University of Rochester DNA Microarrays (Gene Chips) and Cancer http://www.biosci.utexas.edu/graduate/plantbio/images/spot/microarray.jpg http://www.affymetrix.com Part 1 Gene Expression and Cancer Nucleus Proteins DNA RNA Cell membrane All your cells have the same DNA Sperm Embryo Egg Fertilized Egg - Zygote How do cells that have the same DNA (genes) end up having different structures and functions? DNA in the nucleus Genes Different genes are turned on in different cells. DIFFERENTIAL GENE EXPRESSION GENE EXPRESSION (Genes are “on”) Transcription Translation DNA mRNA protein cell structure (Gene) and function Converts the DNA (gene) code into cell structure and function Differential Gene Expression Different genes Different genes are turned on in different cells make different mRNA’s Differential Gene Expression Different genes are turned Different genes Different mRNA’s on in different cells make different mRNA’s make different Proteins An example of differential gene expression White blood cell Stem Cell Platelet Red blood cell Bone marrow stem cells differentiate into specialized blood cells because different genes are expressed during development. Normal Differential Gene Expression Genes mRNA mRNA Expression of different genes results in the cell developing into a red blood cell or a white blood cell Cancer and Differential Gene Expression mRNA Genes But some times….. Mutations can lead to CANCER CELL some genes being Abnormal gene expression more or less may result -
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B. M ü ller, G ü nter P. Wagner, and Werner Callebaut, editors The Evolution of Cognition , edited by Cecilia Heyes and Ludwig Huber, 2000 Origination of Organismal Form: Beyond the Gene in Development and Evolutionary Biology , edited by Gerd B. M ü ller and Stuart A. Newman, 2003 Environment, Development, and Evolution: Toward a Synthesis , edited by Brian K. Hall, Roy D. Pearson, and Gerd B. M ü ller, 2004 Evolution of Communication Systems: A Comparative Approach , edited by D. Kimbrough Oller and Ulrike Griebel, 2004 Modularity: Understanding the Development and Evolution of Natural Complex Systems , edited by Werner Callebaut and Diego Rasskin-Gutman, 2005 Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution , by Richard A. Watson, 2006 Biological Emergences: Evolution by Natural Experiment , by Robert G. B. Reid, 2007 Modeling Biology: Structure, Behaviors, Evolution , edited by Manfred D. Laubichler and Gerd B. M ü ller, 2007 Evolution of Communicative Flexibility: Complexity, Creativity, and Adaptability in Human and Animal Communication , edited by Kimbrough D. Oller and Ulrike Griebel, 2008 Functions in Biological and Artifi cial Worlds: Comparative Philosophical Perspectives , edited by Ulrich Krohs and Peter Kroes, 2009 Cognitive Biology: Evolutionary and Developmental Perspectives on Mind, Brain, and Behavior , edited by Luca Tommasi, Mary A. Peterson, and Lynn Nadel, 2009 Innovation in Cultural Systems: Contributions from Evolutionary Anthropology , edited by Michael J. O ’ Brien and Stephen J. Shennan, 2010 The Major Transitions in Evolution Revisited , edited by Brett Calcott and Kim Sterelny, 2011 Transformations of Lamarckism: From Subtle Fluids to Molecular Biology , edited by Snait B. -
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. -
Fifty Years of Genetic Epidemiology, with Special Reference to Japan
J Hum Genet (2006) 51:269–277 DOI 10.1007/s10038-006-0366-9 MINIREVIEW Newton E. Morton Fifty years of genetic epidemiology, with special reference to Japan Received: 13 December 2005 / Accepted: 18 December 2005 / Published online: 15 February 2006 Ó The Japan Society of Human Genetics and Springer-Verlag 2006 Abstract Genetic epidemiology deals with etiology, dis- Introduction tribution, and control of disease in groups of relatives and with inherited causes of disease in populations. It The Japan Society of Human Genetics (JSHG) was took its first steps before its recognition as a discipline, established at a time when the science it represented was and did not reach its present scope until the Human growing so explosively that Carlson (2004) signalised the Genome Project succeeded. The intimate relationship death of classical genetics. Compared to their predeces- between genetics and epidemiology was discussed by sors, geneticists in 1956 were more distrustful of eugenics Neel and Schull (1954), just a year after Watson and and more committed to cytogenetics, biochemistry, and Crick reported the DNA double helix, and 2 years be- medical genetics, but not yet prepared for the genomic fore human cytogenetics and the Japan Society of Hu- revolution that the double helix would ultimately bring man Genetics were founded. It is convenient to divide (Yanase 1997). Population genetics was beginning to the next half-century into three phases. The first of these split into two major branches, one concerned with events (1956–1979) was before DNA polymorphisms were that took place in the past under poorly known forces of typed, and so the focus was on segregation and linkage systematic pressure and chance (evolutionary genetics), of major genes, cytogenetics, population studies, and the other dealing with etiology, distribution, and control biochemical genetics.