Cancer Genomics Terminology
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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. -
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. -
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. -
The Role of Haplotypes in Candidate Gene Studies
Genetic Epidemiology 27: 321–333 (2004) The Role of Haplotypes in Candidate Gene Studies Andrew G. Clarkn Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York Human geneticists working on systems for which it is possible to make a strong case for a set of candidate genes face the problem of whether it is necessary to consider the variation in those genes as phased haplotypes, or whether the one-SNP- at-a-time approach might perform as well. There are three reasons why the phased haplotype route should be an improvement. First, the protein products of the candidate genes occur in polypeptide chains whose folding and other properties may depend on particular combinations of amino acids. Second, population genetic principles show us that variation in populations is inherently structured into haplotypes. Third, the statistical power of association tests with phased data is likely to be improved because of the reduction in dimension. However, in reality it takes a great deal of extra work to obtain valid haplotype phase information, and inferred phase information may simply compound the errors. In addition, if the causal connection between SNPs and a phenotype is truly driven by just a single SNP, then the haplotype- based approach may perform worse than the one-SNP-at-a-time approach. Here we examine some of the factors that affect haplotype patterns in genes, how haplotypes may be inferred, and how haplotypes have been useful in the context of testing association between candidate genes and complex traits. Genet. Epidemiol. & 2004 Wiley-Liss, Inc. Key words: haplotype inference; haplotype association testing; candidate genes; linkage equilibrium Grant sponsor: NIH; Grant numbers: GM65509, HL072904. -
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. -
Bio 102 Practice Problems Genetic Code and Mutation
Bio 102 Practice Problems Genetic Code and Mutation Multiple choice: Unless otherwise directed, circle the one best answer: 1. Choose the one best answer: Beadle and Tatum mutagenized Neurospora to find strains that required arginine to live. Based on the classification of their mutants, they concluded that: A. one gene corresponds to one protein. B. DNA is the genetic material. C. "inborn errors of metabolism" were responsible for many diseases. D. DNA replication is semi-conservative. E. protein cannot be the genetic material. 2. Choose the one best answer. Which one of the following is NOT part of the definition of a gene? A. A physical unit of heredity B. Encodes a protein C. Segement of a chromosome D. Responsible for an inherited characteristic E. May be linked to other genes 3. A mutation converts an AGA codon to a TGA codon (in DNA). This mutation is a: A. Termination mutation B. Missense mutation C. Frameshift mutation D. Nonsense mutation E. Non-coding mutation 4. Beadle and Tatum performed a series of complex experiments that led to the idea that one gene encodes one enzyme. Which one of the following statements does not describe their experiments? A. They deduced the metabolic pathway for the synthesis of an amino acid. B. Many different auxotrophic mutants of Neurospora were isolated. C. Cells unable to make arginine cannot survive on minimal media. D. Some mutant cells could survive on minimal media if they were provided with citrulline or ornithine. E. Homogentisic acid accumulates and is excreted in the urine of diseased individuals. 5. -
Truncating Mutations in Severe Intellectual Disability
European Journal of Human Genetics (2014) 22, 289–292 & 2014 Macmillan Publishers Limited All rights reserved 1018-4813/14 www.nature.com/ejhg SHORT REPORT Expanding the phenotype of IQSEC2 mutations: truncating mutations in severe intellectual disability Frederic Tran Mau-Them1, Marjolaine Willems*,1, Beate Albrecht2, Elodie Sanchez1, Jacques Puechberty1, Sabine Endele3, Anouck Schneider4, Nathalie Ruiz Pallares4,5, Chantal Missirian6, Francois Rivier7, Manon Girard4, Muriel Holder8, Sylvie Manouvrier8, Isabelle Touitou5, Genevieve Lefort4, Pierre Sarda1, Anne Moncla7, Severine Drunat9, Dagmar Wieczorek2 and David Genevieve1 Intellectual disability (ID) is frequent in the general population, with 1 in 50 individuals directly affected worldwide. The multiple etiologies include X-linked ID (XLID). Among syndromic XLID, few syndromes present severe ID associated with postnatal microcephaly and midline stereotypic hand movements. We report on three male patients with ID, midline stereotypic hand movements, hypotonia, hyperkinesia, strabismus, as well as seizures (2/3), and non-inherited and postnatal onset microcephaly (2/3). Using array CGH and exome sequencing we characterised two truncating mutations in IQSEC2, namely two de novo intragenic duplication mapped to the Xp11.22 region and a nonsense mutation in exon 7. We propose that truncating mutations in IQSEC2 are responsible for syndromic severe ID in male patients and should be screened in patients without mutations in MECP2, FOXG1, CDKL5 and MEF2C. European Journal of Human Genetics (2014) 22, 289–292; doi:10.1038/ejhg.2013.113; published online 15 May 2013 Keywords: syndromic X-linked intellectual disability; microcephaly; IQSEC2-truncating mutations INTRODUCTION native to the south of France. Pregnancy was uneventful. The boy was born at Intellectual disability (ID) is defined by substantial limitations in 37 ½ weeks of gestation full term by caesarean section due to an abnormal cognitive functioning (intellectual quotient o70) coupled with a deficit presentation. -
Variegate Porphyria: Identification of a Nonsense Mutation in The
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector MUTATION REPORTS Variegate Porphyria: Identification of a Nonsense Mutation in the Protoporphyrinogen Oxidase Gene Jorge Frank, Frank K. Jugert,* Katrin Kalka,† Gu¨nter Goerz,† Hans F. Merk,* and Angela M. Christiano Department of Dermatology, Columbia University, New York, New York, U.S.A.; *Department of Dermatology, University Clinic of the RWTH, Aachen, Germany; †Department of Dermatology, Heinrich Heine University, Du¨sseldorf, Germany The porphyrias are disorders of porphyrin metabolism protoporphyrinogen oxidase gene, resulting in the substi- that result from inherited or acquired aberrations in the tution of glutamic acid by a nonsense codon, designated control of the heme biosynthetic pathway. Variegate E133X. Our investigation establishes that a nonsense porphyria is characterized by a partial reduction in the mutation in the protoporphyrinogen oxidase gene is activity of protoporphyrinogen oxidase. In this study, we the underlying mutation in this family with variegate identified the first nonsense mutation in a family with porphyria. Key words: bullous diseases/genodermatosis/photo- variegate porphyria. The mutation consisted of a previ- sensitivity/porphyrin-heme biosynthetic pathway. J Invest ously unreported G-to-T transversion in exon 5 of the Dermatol 110:449–451, 1998 he porphyrias are disorders of heme metabolism resulting in the PPO gene in the clinically affected patient and one of her sons from the inherited or acquired dysregulation of one of by heteroduplex analysis, automated sequencing, and allele specific the eight enzymes that control the porphyrin-heme oligonucleotide (ASO) hybridization. The mutation consisted of a biosynthetic pathway. -
Excess of Rare Novel Loss-Of-Function Variants in Synaptic Genes in Schizophrenia and Autism Spectrum Disorders
Molecular Psychiatry (2014) 19, 872–879 & 2014 Macmillan Publishers Limited All rights reserved 1359-4184/14 www.nature.com/mp ORIGINAL ARTICLE Excess of rare novel loss-of-function variants in synaptic genes in schizophrenia and autism spectrum disorders EM Kenny1,3, P Cormican1,3, S Furlong1,3, E Heron1, G Kenny1, C Fahey1, E Kelleher1, S Ennis2, D Tropea1, R Anney1, AP Corvin1, G Donohoe1, L Gallagher1, M Gill1 and DW Morris1 Schizophrenia (SZ) and autism spectrum disorders (ASDs) are complex neurodevelopmental disorders that may share an underlying pathology suggested by shared genetic risk variants. We sequenced the exonic regions of 215 genes in 147 ASD cases, 273 SZ cases and 287 controls, to identify rare risk mutations. Genes were primarily selected for their function in the synapse and were categorized as: (1) Neurexin and Neuroligin Interacting Proteins, (2) Post-synaptic Glutamate Receptor Complexes, (3) Neural Cell Adhesion Molecules, (4) DISC1 and Interactors and (5) Functional and Positional Candidates. Thirty-one novel loss-of-function (LoF) variants that are predicted to severely disrupt protein-coding sequence were detected among 2 861 rare variants. We found an excess of LoF variants in the combined cases compared with controls (P ¼ 0.02). This effect was stronger when analysis was limited to singleton LoF variants (P ¼ 0.0007) and the excess was present in both SZ (P ¼ 0.002) and ASD (P ¼ 0.001). As an individual gene category, Neurexin and Neuroligin Interacting Proteins carried an excess of LoF variants in cases compared with controls (P ¼ 0.05). A de novo nonsense variant in GRIN2B was identified in an ASD case adding to the growing evidence that this is an important risk gene for the disorder. -
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. -
Candidate-Gene Criteria for Clinical Reporting: Diagnostic Exome Sequencing Identifies Altered Candidate Genes Among 8% of Patients with Undiagnosed Diseases
ORIGINAL RESEARCH ARTICLE Official journal of the American College of Medical Genetics and Genomics Open Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases Kelly D. Farwell Hagman, MS, CGC1, Deepali N. Shinde, PhD1, Cameron Mroske, MS1, Erica Smith, PhD1, Kelly Radtke, PhD1, Layla Shahmirzadi, MS, CGC1, Dima El-Khechen, MS, CGC1, Zöe Powis, MS, CGC1, Elizabeth C. Chao, MD, FACMG1,2, Wendy A. Alcaraz, PhD, DABMG1, Katherine L. Helbig, MS, CGC1, Samin A. Sajan, PhD1, Mari Rossi, MS, PhL1, Hsiao-Mei Lu, PhD1, Robert Huether, PhD1, Shuwei Li, PhD1, Sitao Wu, PhD1, Mark E. Nuñes, MD3 and Sha Tang, PhD, FACMG1 Purpose: Diagnostic exome sequencing (DES) is now a commonly corroborated in the peer-reviewed literature. This rate of corrobo- ordered test for individuals with undiagnosed genetic disorders. In ration increased to 51.9% (27/52) among patients whose gene was addition to providing a diagnosis for characterized diseases, exome reported at least 12 months previously. sequencing has the capacity to uncover novel candidate genes for Conclusions: Herein, we provide transparent, comprehensive, and disease. standardized scoring criteria for the clinical reporting of candidate Methods: Family-based DES included analysis of both characterized genes. These results demonstrate that DES is an integral tool for and novel genetic etiologies. To evaluate candidate genes for disease genetic diagnosis, especially for elucidating the molecular basis for in the clinical setting, we developed a systematic, rule-based classifi- both characterized and novel candidate genetic etiologies. Gene dis- cation schema. coveries also advance the understanding of normal human biology and more common diseases. -
Nonsense and Missense Mutations in Hemophilia A: Estimate of the Relative Mutation Rate at CG Dinucleotides Hagop Youssoufian,* Stylianos E
Am. J. Hum. Genet. 42:718-725, 1988 Nonsense and Missense Mutations in Hemophilia A: Estimate of the Relative Mutation Rate at CG Dinucleotides Hagop Youssoufian,* Stylianos E. Antonarakis,* William Bell,t Anne M. Griffin,4 and Haig H. Kazazian, Jr.* *Genetics Unit, Department of Pediatrics, and tDivision of Hematology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore; and tDivision of Hematology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill Summary Hemophilia A is an X-linked disease of coagulation caused by deficiency of factor VIII. Using cloned cDNA and synthetic oligonucleotide probes, we have now screened 240 patients and found CG-to-TG transitions in an exon in nine. We have previously reported four of these patients; and here we report the remaining five, all of whom were severely affected. In one patient a TaqI site was lost in exon 23, and in the other four it was lost in exon 24. The novel exon 23 mutation is a CG-to-TG substitution at the codon for amino acid residue 2166, producing a nonsense codon in place of the normal codon for arginine. Simi- larly, the exon 24 mutations are also generated by CG-to-TG transitions, either on the sense strand produc- ing nonsense mutations or on the antisense strand producing missense mutations (Arg to Gln) at position 2228. The novel missense mutations are the first such mutations observed in association with severe hemo- philia A. These results provide further evidence that recurrent mutations are not uncommon in hemophilia A, and they also allow us to estimate that the extent of hypermutability of CG dinucleotides is 10-20 times greater than the average mutation rate for hemophilia A.