Genotyping Techniques

Total Page:16

File Type:pdf, Size:1020Kb

Genotyping Techniques Genotyping Techniques Research Report Melting Curve Analysis of SNPs (McSNP): A Gel-Free and Inexpensive Approach for SNP Genotyping BioTechniques 30:358-367 (February 2001) J.M. Akey, D. Sosnoski1, INTRODUCTION nostic probe once per PCR cycle (25), E. Parra1, S. Dios1, K. Hiester1, have been applied to SNP genotyping 1 The third-generation genetic map methods (6,10,14). The dsDNA-specif- B. Su, C. Bonilla, L. Jin, and M.D. Shriver1 comprised of single nucleotide poly- ic dye SYBR Green I (Moleclar morphisms (SNPs) is being expeditious- Probes, Eugene, OR, USA) has been University of Texas Houston ly developed (24). SNPs are the most used to analyze the melting curves of Health Science Center, Houston, abundant type of sequence variation in PCR products, which are characterized 1 TX and Penn State University, the human genome and will be useful by a rapid loss of fluorescence as the University Park, PA, USA tools in many diverse applications that temperature is raised through the sam- include disease gene mapping, evolu- ples’ melting temperature (Tm) (17). tion, pharmacogenetics, and forensics Since the Tm is a function of product ABSTRACT (3,11). An impressive SNP resource al- length, sequence composition, and GC ready exists as nearly 300000 have been content, it should be possible to distin- High-throughput methods for assaying deposited into publicly accessible data- guish DNA fragments that differ with DNA variation require two important steps: bases (see http://www.ncbi.nlm.nih.gov/ respect to these parameters by melting (i)discriminating the variation and (ii)de- SNP/, http://snp.cshl.org/, and http://hg- curve analysis (MCA). The general tecting the signal. In this report, we describe base.cgr.ki.se/). However, without paral- principles of MCA were used to devel- a novel SNP genotyping method that we re- lel progress in SNP genotyping technol- op Tm-shift genotyping, an SNP geno- fer to as melting curve analysis of SNPs ogy, their true power and inherent typing assay based on allele-specific (McSNP). McSNP combines a classic ap- benefits will not come to fruition. PCR (6). While this represents an im- proach for discriminating alleles, restriction Novel genotyping methods amen- portant advance in MCA applied to SNP enzyme digestion, with a more recent able to high-throughput analysis should genotyping, it is subject to the inherent method for detecting DNA fragments, melt- ideally be gel-free, robust, inexpensive, limitations of allele-specific PCR, such ing curve analysis. Melting curve analysis is and simple to perform. To this end, as difficulty in reaction optimization. performed by slowly heating DNA frag- these requirements have inspired the In the burgeoning field of SNP geno- ments in the presence of the dsDNA-specific development of a variety of genotyping typing technology, it is easy to forget the fluorescent dye SYBRGreen I. As the sam- assays, including the oligonucleotide elegantly simple and accurate approach ple is heated, fluorescence rapidly decreas- ligation assay (OLA) (12), genetic bit of assaying SNP variation by digesting es when the melting temperature of a partic- analysis (GBA) (15), mass spectro- PCR products with restriction enzymes ular fragment is reached. We show that it is scopy (8), “chip” technology (24), Taq- [i.e., PCR-restriction fragment length possible to determine the composition of Man(14), and dynamic allele specific polymorphism (RFLP) typing]. In this simple mixtures of DNA fragments, such as hybridization (DASH) (10). Although report, we describe how MCA can be those that result from restriction enzyme di- many SNP genotyping methods have applied to classical PCR-RFLP meth- gestions of short PCR products. McSNP is been developed, no single technology ods. Specifically, a simple, inexpensive, well suited for high-throughput genotyping has emerged as being clearly superior and high-throughput assay for SNP because 96 samples can be analyzed and because of limitations such as cost, genotyping that we refer to as MCA of automatically scored in 20 min. Our results complexity, and accuracy. SNPs (McSNP) is presented in which clearly demonstrate that McSNP is a simple, Recently, the principles underlying the melting profiles of restriction en- inexpensive, and accurate means of geno- kinetic PCR (9), which is predicated on zyme-digested PCR products are ana- typing SNP variation. monitoring the fluorescence of a diag- lyzed. In total, we present data on seven 358BioTechniques Vol. 30, No. 2 (2001) SNPs, clearly demonstrating that this ences 7, 5, and 22, respectively. Marker (Hybaid). Other instruments that may method is a practical, robust, and sensi- M89 was obtained from Reference 21. be suitable for MCA include the Gene- tive approach to assaying SNP variation. The samples used in this study repre- Amp5700 and ABI Prism7700 Se- sent a subset of samples that we are us- quence Detection Systems (Applied ing in other studies and are comprised Biosystems), the LightCycler(Roche MATERIALS AND METHODS of African-American, European-Amer- Molecular Biochemicals, Indianapolis, ican, and Hispanic populations. More IN, USA), the iCycler(Bio-Rad Lab- PCR specific details can be found elsewhere oratories, Hercules, CA, USA), the (16,20). Informed consent from each Smart Cycler (Cephied, Sunnyvale, SNPs were amplified by PCR, and subject was obtained for participation CA, USA), and the Sentinel(Strata- most reactions were conducted under a in this study. gene, La Jolla, CA, USA). However, standard set of conditions. PCR was we have not explored the general accu- performed in either a Hybaid Multi- Restriction Enzyme Digestion racy, robustness, and scoring software Block System (Hybaid, Franklin, MA, associated with these machines, which USA) or a GeneAmp 9700 (Applied Restriction enzyme digestions were may differ substantially. Melting curves Biosystems, Foster City, CA, USA) and performed in a final volume of 25 µL, are acquired by ramping the tempera- consisted of the following thermocy- which consisted of 10 µL PCR product, ture from 35°C to 90°C at a rate of cles: 95°C for 5 min, followed by 30 1 U appropriate restriction enzyme, 1× 0.04°C/s and monitoring the change in cycles of 95°C for 30 s, 55°C for 30 s, reaction buffer supplied with the re- fluorescence of SYBR Green I at 520 72°C for 30 s, and a final extension at striction enzyme, and, when recom- nm. The total run time is approximately 72°C for 5 min. PCRs were performed mended by the supplier, 1×bovine 22 min, which can be generally cut in in 25-µL reactions consisting of 25 ng serum albumin (BSA). In particular, half once the Tmis determined and the genomic DNA, 1.5 mM MgCl2, 2.5 µL markers 4019, M89, and 14867 were thermal range adjusted accordingly. It 10×PCR buffer (Life Technologies, digested by the restriction enzyme is during the slow ramp to 90°C that the Rockville, MD, USA), 0.1 mM dNTPs, NlaIII, while markers CKMM, 14319, fluorescence is captured. The raw data 0.04 µM each primer, and 2.5 U Taq FY-null, and LPL were digested by the are first converted to relative fluores- DNA polymerase (Life Technologies). restriction enzymes TaqI, RsaI, StyI, cence by dividing each point by the ini- The exception to these conditions was and PvuII, respectively. We did not find tial fluorescence (i.e., 35°C) (6). Final marker Fy-null, in which the final it necessary to purify the PCR products melting curves are reported as the MgCl2was 2.0 mM. Primer sequences before restriction enzyme digestions, three-point smoothed negative first de- were as follows: CKMM (5′-GCAG- which were performed as recommend- rivative of fluorescence, with respect to GCGCCTACTTCTGG-3′and 5′-AGC- ed by the suppliers for a period of 4–24 temperature versus temperature with a TCATGGTGGAAATGGAG-3′), 4019 h. All restriction enzymes were pur- baseline subtraction. The baseline cor- (5′-CAGGCCAAGAGCGTCCTA-3′ chased from New England Biolabs rection for each data point is calculated and 5′-TGCCACTCTGTGAACAGC- (Beverly, MA, USA). by subtracting the slope from a linear AA-3’), 14319 (5′-CATCTGAGTGC- regression line of the first nine data AAGATAAAAAGGA-3′and 5′-CCC- MCA points. All genotypes were confirmed ACCCCCAAATCATCTAT-3′), FY- by agarose gel electrophoresis. Specifi- null (5′-GCCCAGAACCTGATGGCC- Melting profile reactions were ana- cally, samples were amplified by a sec- CTCATTAGTGCT-3′and 5′-CTGTC- lyzed in a final volume of 50 µL. All re- ond set of PCR primers to produce larg- AGCGCCTGTGCTT-3′), 14867(5′-G- actions contained 5 µL restriction en- er products more suitable for scoring GCAGGACATTCCAAGGCTCTC-3′ zyme product, 5 µL 10×SYBR Green I by agarose gel electrophoresis. These and 5′-CACCCTGGGTTAACACATT- (which comes as a 10000×stock sup- samples were then independently di- CA-3′), LPL (5′-TGCAAGGGTTTT- plied by Molecular Probes), and were gested and scored by agarose gels. GCTTAATTCT-3′and 5′-CAACAA- brought to a final volume of 50 µL in CAAAACCCCACAGC-3′), and M89 double-distilled water. Various destabi- (5′-ACAGAAGGATGCTGCTCAGC- lizing agents were added to these reac- RESULTS TT-3′and 5′-GCAACTCAGGCAAA- tions including formamide, dimethyl GTGAGACAT-3′), in which the bold sulfoxide (DMSO), and urea (all from Restriction Enzyme MCA Profiles denotes the mismatched base to create Fisher Biotech, Fair Lawn, NJ, USA). the putative NlaIII restriction site (see Here, we provide the details of only The experimental protocol of Mc- Results section). SNP markers WI- those additives that had an enhancing SNP is very simple and is outlined in 4019 (dbSNP ID: 2420), WI-14319, effect on MCA. The optimal final con- Figure 1. Figure 2 illustrates typical Mc- and WI-14867 were identified by centrations of these additives were ei- SNP genotype profiles for six autosomal querying the Whitehead Institute ther 10% formamide or 10% DMSO.
Recommended publications
  • GENOME GENERATION Glossary
    GENOME GENERATION Glossary Chromosome An organism’s DNA is packaged into chromosomes. Humans have 23 pairs of chromosomesincluding one pair of sex chromosomes. Women have two X chromosomes and men have one X and one Y chromosome. Dominant (see also recessive) Genes come in pairs. A dominant form of a gene is the “stronger” version that will be expressed. Therefore if someone has one dominant and one recessive form of a gene, only the characteristics of the dominant form will appear. DNA DNA is the long molecule that contains the genetic instructions for nearly all living things. Two strands of DNA are twisted together into a double helix. The DNA code is made up of four chemical letters (A, C, G and T) which are commonly referred to as bases or nucleotides. Gene A gene is a section of DNA that is the code for a specific biological component, usually a protein. Each gene may have several alternative forms. Each of us has two copies of most of our genes, one copy inherited from each parent. Most of our traits are the result of the combined effects of a number of different genes. Very few traits are the result of just one gene. Genetic sequence The precise order of letters (bases) in a section of DNA. Genome A genome is the complete DNA instructions for an organism. The human genome contains 3 billion DNA letters and approximately 23,000 genes. Genomics Genomics is the study of genomes. This includes not only the DNA sequence itself, but also an understanding of the function and regulation of genes both individually and in combination.
    [Show full text]
  • Pharmacogenetic Testing: a Tool for Personalized Drug Therapy Optimization
    pharmaceutics Review Pharmacogenetic Testing: A Tool for Personalized Drug Therapy Optimization Kristina A. Malsagova 1,* , Tatyana V. Butkova 1 , Arthur T. Kopylov 1 , Alexander A. Izotov 1, Natalia V. Potoldykova 2, Dmitry V. Enikeev 2, Vagarshak Grigoryan 2, Alexander Tarasov 3, Alexander A. Stepanov 1 and Anna L. Kaysheva 1 1 Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; [email protected] (T.V.B.); [email protected] (A.T.K.); [email protected] (A.A.I.); [email protected] (A.A.S.); [email protected] (A.L.K.) 2 Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; [email protected] (N.V.P.); [email protected] (D.V.E.); [email protected] (V.G.) 3 Institute of Linguistics and Intercultural Communication, Sechenov University, 119992 Moscow, Russia; [email protected] * Correspondence: [email protected]; Tel.: +7-499-764-9878 Received: 2 November 2020; Accepted: 17 December 2020; Published: 19 December 2020 Abstract: Pharmacogenomics is a study of how the genome background is associated with drug resistance and how therapy strategy can be modified for a certain person to achieve benefit. The pharmacogenomics (PGx) testing becomes of great opportunity for physicians to make the proper decision regarding each non-trivial patient that does not respond to therapy. Although pharmacogenomics has become of growing interest to the healthcare market during the past five to ten years the exact mechanisms linking the genetic polymorphisms and observable responses to drug therapy are not always clear. Therefore, the success of PGx testing depends on the physician’s ability to understand the obtained results in a standardized way for each particular patient.
    [Show full text]
  • HIV Genotyping and Phenotyping AHS – M2093
    Corporate Medical Policy HIV Genotyping and Phenotyping AHS – M2093 File Name: HIV_genotyping_and_phenotyping Origination: 1/2019 Last CAP Review: 2/2021 Next CAP Review: 2/2022 Last Review: 2/2021 Description of Procedure or Service Description Human immunodeficiency virus (HIV) is an RNA retrovirus that infects human immune cells (specifically CD4 cells) causing progressive deterioration of the immune system ultimately leading to acquired immune deficiency syndrome (AIDS) characterized by susceptibility to opportunistic infections and HIV-related cancers (CDC, 2014). Related Policies Plasma HIV-1 and HIV-2 RNA Quantification for HIV Infection Scientific Background Human immunodeficiency virus (HIV) targets the immune system, eventually hindering the body’s ability to fight infections and diseases. If not treated, an HIV infection may lead to acquired immunodeficiency syndrome (AIDS) which is a condition caused by the virus. There are two main types of HIV: HIV-1 and HIV-2; both are genetically different. HIV-1 is more common and widespread than HIV-2. HIV replicates rapidly; a replication cycle rate of approximately one to two days ensures that after a single year, the virus in an infected individual may be 200 to 300 generations removed from the initial infection-causing virus (Coffin & Swanstrom, 2013). This leads to great genetic diversity of each HIV infection in a single individual. As an RNA retrovirus, HIV requires the use of a reverse transcriptase for replication purposes. A reverse transcriptase is an enzyme which generates complimentary DNA from an RNA template. This enzyme is error-prone with the overall single-step point mutation rate reaching ∼3.4 × 10−5 mutations per base per replication cycle (Mansky & Temin, 1995), leading to approximately one genome in three containing a mutation after each round of replication (some of which confer drug resistance).
    [Show full text]
  • Review of the Current State of Genetic Testing - a Living Resource
    Review of the Current State of Genetic Testing - A Living Resource Prepared by Liza Gershony, DVM, PhD and Anita Oberbauer, PhD of the University of California, Davis Editorial input by Leigh Anne Clark, PhD of Clemson University July, 2020 Contents Introduction .................................................................................................................................................. 1 I. The Basics ......................................................................................................................................... 2 II. Modes of Inheritance ....................................................................................................................... 7 a. Mendelian Inheritance and Punnett Squares ................................................................................. 7 b. Non-Mendelian Inheritance ........................................................................................................... 10 III. Genetic Selection and Populations ................................................................................................ 13 IV. Dog Breeds as Populations ............................................................................................................. 15 V. Canine Genetic Tests ...................................................................................................................... 16 a. Direct and Indirect Tests ................................................................................................................ 17 b. Single
    [Show full text]
  • Evaluation of Openarray™ As a Genotyping Method for Forensic DNA Phenotyping and Human Identification
    G C A T T A C G G C A T genes Article Evaluation of OpenArray™ as a Genotyping Method for Forensic DNA Phenotyping and Human Identification Michele Ragazzo 1, Giulio Puleri 1, Valeria Errichiello 1, Laura Manzo 1, Laura Luzzi 1 , Saverio Potenza 2 , Claudia Strafella 1,3 , Cristina Peconi 3, Fabio Nicastro 4 , Valerio Caputo 1 and Emiliano Giardina 1,3,* 1 Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133 Rome, Italy; [email protected] (M.R.); [email protected] (G.P.); [email protected] (V.E.); [email protected] (L.M.); [email protected] (L.L.); [email protected] (C.S.); [email protected] (V.C.) 2 Department of Biomedicine and Prevention, Section of Legal Medicine, Social Security and Forensic Toxicology, University of Rome Tor Vergata, 00133 Rome, Italy; [email protected] 3 Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; [email protected] 4 Austech, 00153 Rome, Italy; [email protected] * Correspondence: [email protected] Abstract: A custom plate of OpenArray™ technology was evaluated to test 60 single-nucleotide polymorphisms (SNPs) validated for the prediction of eye color, hair color, and skin pigmentation, and for personal identification. The SNPs were selected from already validated subsets (Hirisplex-s, Precision ID Identity SNP Panel, and ForenSeq DNA Signature Prep Kit). The concordance rate and call rate for every SNP were calculated by analyzing 314 sequenced DNA samples. The sensitivity of the assay was assessed by preparing a dilution series of 10.0, 5.0, 1.0, and 0.5 ng.
    [Show full text]
  • Genotyping-By-Sequencing to Unlock Genetic Diversity and Population Structure in White Yam (Dioscorea Rotundata Poir.)
    agronomy Article Genotyping-by-Sequencing to Unlock Genetic Diversity and Population Structure in White Yam (Dioscorea rotundata Poir.) Ranjana Bhattacharjee 1,* , Paterne Agre 1 , Guillaume Bauchet 2, David De Koeyer 3, Antonio Lopez-Montes 1,4, P. Lava Kumar 1 , Michael Abberton 1, Patrick Adebola 5, Asrat Asfaw 5 and Robert Asiedu 1 1 International Institute of Tropical Agriculture, PMB 5320, Ibadan 200001, Nigeria; [email protected] (P.A.); [email protected] (A.L.-M.); [email protected] (P.L.K.); [email protected] (M.A.); [email protected] (R.A.) 2 Boyce Thompson Institute, Cornell University, Ithaca, NY 14853, USA; [email protected] 3 Agriculture and Agri-Food Canada, Fredericton, NB E3B 4Z7, Canada; [email protected] 4 International Trade Center, 29 Independence Avenue, Accra 00233, Ghana 5 International Institute of Tropical Agriculture, PMB 82, Kubuwa, Abuja 901101, Nigeria; [email protected] (P.A.); [email protected] (A.A.) * Correspondence: [email protected] Received: 7 August 2020; Accepted: 14 September 2020; Published: 22 September 2020 Abstract: White yam (Dioscorea rotundata Poir.) is one of the most important tuber crops in West Africa, where it is indigenous and represents the largest repository of biodiversity through several years of domestication, production, consumption, and trade. In this study, the genotyping-by-sequencing (GBS) approach was used to sequence 814 genotypes consisting of genebank landraces, breeding lines, and market varieties to understand the level of genetic diversity and pattern of the population structure among them. The genetic diversity among different genotypes was assessed using three complementary clustering methods, the model-based admixture, discriminant analysis of principal components (DAPC), and phylogenetic tree.
    [Show full text]
  • DNA Phenotyping and Kinship Determination
    DNA Phenotyping and Kinship Determination Ellen McRae Greytak, PhD Director of Bioinformatics Parabon NanoLabs, Inc. ©©2 2015015 ParabonParabon NanoLabs,NanoLabs Inc.Inc All rightsrights reserved. reserved Forensic Applications of DNA Phenotyping Predict a person’s ancestry and/or appearance (“phenotype”) from his or her DNA Generate investigative leads when DNA doesn’t match a database (e.g., CODIS) Gain additional information (e.g., pigmentation, detailed ancestry) about unidentified remains Main value is in excluding non-matching individuals to help narrow a suspect list Without information on age, weight, lifestyle, etc., phenotyping currently is not targeted toward individual identification Snapshot Workflow Workflow of a Parabon® Snapshot™ Investigation Unidentified Remains DNA Evidence Is Collected and Sent to Crime Lab DNA Evidence DNA Crime Lab CCrime Lab Extracts DNA And Produces STR Profile Checked STR Profile (a.k.a. “DNA Fingerprint”) AAgainst DNA Database(s) Yes Match No Found? SnapshotS Composite Ordered Extracted DNA ™ D N A PH E N O T Y P I N G DNA Service Labs Unidentified DNA Is Genotype Data Is Genotyping Lab Produces SNP Sent To Service Lab Sent To Parabon Profile (a.k.a. “DNA Blueprint”) (DNA Extracted If Needed) 50pg – 2ng DNA Evidence — or — Extracted DNA NOTE: STR Profiles Do Not Contain Sufficient Genetic Information to Produce A SNP Genotype Parabon NanoLabs PParabonb AnalyzesAl PParabon Predicts Physical Traits Investigator Uses Genotype Data and Produces Snapshot Report
    [Show full text]
  • Genotyping of Single Nucleotide Polymorphisms Using Allele
    diagnostics Article Genotyping of Single Nucleotide Polymorphisms Using Allele-Specific qPCR Producing Amplicons of Small Sizes Directly from Crude Serum Isolated from Capillary Blood by a Hand-Powered Paper Centrifuge Gustavo Barcelos Barra 1,2,*,† , Ticiane Henriques Santa Rita 1,2,†, Daniella Paniago Jardim 1,2,†, Pedro Góes Mesquita 1, Camila Santos Nobre 1,2, Rafael Henriques Jácomo 1 and Lídia Freire Abdalla Nery 1 1 Sabin Laboratory, Brasília 70632-300, Brazil; [email protected] (T.H.S.R.); [email protected] (D.P.J.); [email protected] (P.G.M.); [email protected] (C.S.N.); [email protected] (R.H.J.); [email protected] (L.F.A.N.) 2 Post-Graduation of Health Science, University of Brasília, Brasilia 70910-900, Brazil * Correspondence: [email protected] † These authors contributed equally to the study. Received: 15 November 2018; Accepted: 29 December 2018; Published: 11 January 2019 Abstract: The cell-free genomic DNA (gDNA) concentration in serum ranges from 1500 to 7500 copies/mL within 2 h after phlebotomy (6–24 times the concentration observed in plasma). Here, we aimed to evaluate the gDNA size distribution in serum with time after coagulation and to test if crude serum can be directly used as a source of gDNA for qPCR. Next, we investigated if single nucleotide polymorphisms (SNPs) could be genotyped directly from the crude serum isolated from capillary blood using a hand-powered paper centrifuge. All tested PCR targets (65, 100, 202 and 688 base pairs) could be successfully amplified from DNA extracted from serum, irrespective of their amplicon size.
    [Show full text]
  • Molecular Methods for Bacterial Genotyping and Analyzed Gene Regions
    42Journal of Microbiology and Infectious DiseasesYıldırım / İH et al. Molecular methods 2011; 1 (1): 42-46 JMID doi: 10.5799/ahinjs.02.2011.01.0011 REVIEW ARTICLE Molecular methods for bacterial genotyping and analyzed gene regions İbrahim Halil Yıldırım1, Seval Cing Yıldırım2, Nadir Koçak3 1Dicle University, Faculty of Veterinary Department of Genetics, Diyarbakır, Turkey 2İnönü University, Faculty of Science, Department of Biology, Malatya, Turkey 3Selçuk University, Selçuklu Medical Faculty, Department of Medical Genetics, Konya, Turkey ABSTRACT Bacterial strain typing is an important process for diagnosis, treatment and epidemiological investigations. Current bacterial strain typing methods may be classified into two main categories: phenotyping and genotyping. Phenotypic characters are the reflection of genetic contents. Genotyping, which refers discrimination of bacterial strains based on their genetic content, has recently become widely used for bacterial strain typing. The methods already used in geno- typing of bacteria are quite different from each other. In this review we tried to summarize the basic principles of DNA- based methods used in genotyping of bacteria and describe some important DNA regions that are used in genotyping of bacteria. J Microbiol Infect Dis 2011;1(1):42-46. Key words: Bacterial genotyping, pulsed-field gel electrophoresis, internal transcribed region (ITS) Bakteri genotiplendirmesinde kullanılan moleküler yöntemler ve incelenen gen bölgeleri ÖZET Bakteri tiplendirilmesi tanı, tedavi ve epidemiyolojik araştırmalar için önemli bir süreçtir. Mevcut bakteriyal suş tiplendir- me yöntemleri iki ana kategoride sınıflandırılabilir: fenotipleme ve genotipleme. Fenotipik karakterler genetik içeriğin yansımasıdır. Bakterilerin genetik içeriklerine bağlı olarak sınıflandırılması olan genotiplendirme son dönemlerde bak- teri tiplendirmesinde sıklıkla kullanılmaktadır. Bakteri genotiplendirmesinde kullanılan yöntemler birbirlerinden oldukça farklıdır.
    [Show full text]
  • Premarket Evaluation in Early-Phase Clinical Studies and Recommendations for Labeling
    Guidance for Industry Clinical Pharmacogenomics: Premarket Evaluation in Early-Phase Clinical Studies and Recommendations for Labeling U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) Center for Biologics Evaluation and Research (CBER) Center for Devices and Radiological Health (CDRH) January 2013 Clinical Pharmacology Clinical/Medical 10300.fnl.doc Guidance for Industry Clinical Pharmacogenomics: Premarket Evaluation in Early-Phase Clinical Studies and Recommendations for Labeling Additional copies are available from: Office of Communications Division of Drug Information, WO51, Room 2201 10903 New Hampshire Ave. Silver Spring, MD 20993-0002 Phone: 301-796-3400; Fax 301-847-8714 http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/default.htm or Office of Communication, Outreach, and Development (HFM-40) Center for Biologics Evaluation and Research Food and Drug Administration 1401 Rockville Pike, Rockville, MD 20852-1448 http://www.fda.gov/BiologicsBloodVaccines/GuidanceComplianceRegulatoryInformation/Guidances/default.htm (Tel) 800-835-4709 or 301-827-1800 or Office of Communication, Education, and Radiation Programs Division of Small Manufacturers, International and Consumer Assistance Center for Devices and Radiological Health Food and Drug Administration 10903 New Hampshire Ave. WO66, Room 4613 Silver Spring, MD 20993-0002 http://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/default.htm Email: [email protected] Fax: 301-827-8149 (Tel) Manufacturers Assistance: 800-638-2041 or 301-796-7100 (Tel) International Staff: 301-796-5708 U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) Center for Biologics Evaluation and Research (CBER) Center for Devices and Radiological Health (CDRH) January 2013 Clinical Pharmacology Clinical/Medical TABLE OF CONTENTS I.
    [Show full text]
  • Genotyping Bacterial and Fungal Pathogens Using Sequence Variation in the Gene for the CCA-Adding Enzyme Paul Franz, Heike Betat and Mario Mörl*
    Franz et al. BMC Microbiology (2016) 16:47 DOI 10.1186/s12866-016-0670-2 METHODOLOGY ARTICLE Open Access Genotyping bacterial and fungal pathogens using sequence variation in the gene for the CCA-adding enzyme Paul Franz, Heike Betat and Mario Mörl* Abstract Background: To allow an immediate treatment of an infection with suitable antibiotics and bactericides or fungicides, there is an urgent need for fast and precise identification of the causative human pathogens. Methods based on DNA sequence comparison like 16S rRNA analysis have become standard tools for pathogen verification. However, the distinction of closely related organisms remains a challenging task. To overcome such limitations, we identified a new genomic target sequence located in the single copy gene for tRNA nucleotidyltransferase fulfilling the requirements for a ubiquitous, yet highly specific DNA marker. In the present study, we demonstrate that this sequence marker has a higher discriminating potential than commonly used genotyping markers in pro- as well as eukaryotes, underscoring its applicability as an excellent diagnostic tool in infectology. Results: Based on phylogenetic analyses, a region within the gene for tRNA nucleotidyltransferase (CCA-adding enzyme) was identified as highly heterogeneous. As prominent examples for pro- and eukaryotic pathogens, several Vibrio and Aspergillus species were used for genotyping and identification in a multiplex PCR approach followed by gel electrophoresis and fluorescence-based product detection. Compared to rRNA analysis, the selected gene region of the tRNA nucleotidyltransferase revealed a seven to 30-fold higher distinction potential between closely related Vibrio or Aspergillus species, respectively. The obtained data exhibit a superb genome specificity in the diagnostic analysis.
    [Show full text]
  • Single Nucleotide Polymorphism Genotyping: Biochemistry, Protocol, Cost and Throughput
    The Pharmacogenomics Journal (2003) 3, 77–96 & 2003 Nature Publishing Group All rights reserved 1470-269X/03 $25.00 www.nature.com/tpj REVIEW Single nucleotide polymorphism genotyping: biochemistry, protocol, cost and throughput X Chen ABSTRACT The large number of single nucleotide polymorphism (SNP) markers available PF Sullivan in the public databases makes studies of association and fine mapping of Department of Psychiatry, Virginia Institute for disease loci very practical. To provide information for researchers who do not Psychiatric and Behavioral Genetics, Virginia follow SNP genotyping technologies but need to use them for their research, Commonwealth University, Richmond, VA, USA we review here recent developments in the fields. We start with a general description of SNP typing protocols and follow this with a summary of Correspondence: current methods for each step of the protocol and point out the unique Dr X Chen, Department of Psychiatry, Virginia Institute for Psychiatric and features and weaknesses of these techniques as well as comparing the cost Behavioral Genetics, Virginia and throughput structures of the technologies. Finally, we describe some Commonwealth University, 800 E. Leigh popular techniques and the applications that are suitable for these Street, Richmond, VA 23298-0424, USA Tel: techniques. +1 804 828 8124 Fax: +1 804 828 3223 E-mail: [email protected] The Pharmacogenomics Journal (2003) 3, 77–96. doi:10.1038/sj.tpj.6500167 Keywords: SNP; genotyping; allele discrimination; cost; throughput INTRODUCTION Single nucleotide polymorphisms (SNPs) have emerged as genetic markers of choice because of their high-density and relatively even distribution in the human genomes1–3 and have been used by many groups for fine mapping disease loci and for candidate gene association studies.
    [Show full text]