Mathematical Modeling: Hardy-Weinberg
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												  Historical Overview of the Human Population-Genetic Studies InL. Lasić et al.: Population-Genetic Studies in Bosnia and Herzegovina, Coll.Coll. Antropol. Antropol. 40 40 (2016) (2016) 2: 2: 145–149 145–149 Review HHistoricalistorical OOverviewverview ofof thethe HumanHuman Population-Population- GGeneticenetic StudiesStudies inin BBosniaosnia andand Herzegovina:Herzegovina: SSmallmall Country,Country, GGreatreat DDiversityiversity LLejlaejla LasiLasić, JJasminaasmina HindijaHindija Čaakar,kar, GGabrijelaabrijela RRadosavljeviadosavljević, BBelmaelma KKalamujialamujić aandnd NarisNaris PojskiPojskić University of Sarajevo, Institute for Genetic Engineering and Biotechnology, Sarajevo, Bosnia and Herzegovina AABSTRACTB S T R A C T Modern Bosnia and Herzegovina is a multinational and multi-religious country, situated in the western part of the Balkan Peninsula in South-eastern Europe. According to recent archaeological fi ndings, Bosnia and Herzegovina has been occupied by modern humans since the Palaeolithic period. The structure of Bosnia-Herzegovina’s human populations is very complex and specifi c, due to which it is interesting for various population-genetic surveys. The population of Bos- nia and Herzegovina has been the focus of bio-anthropological and population genetics studies since the 19th century. The fi rst known bio-anthropological analyses of Bosnia-Herzegovina population were primarily based on the observation of some phenotypic traits. Later examinations included cytogenetic and DNA based molecular markers. The results of all studies which have been done up to date showed no accented genetic difference among the populations (based on geo- graphical regions) with quite high diversity within them. Human population of Bosnia and Herzegovina is closely related to other populations in the Balkans. However, there are still many interesting features hidden within the existing diver- sity of local human populations that are still waiting to be discovered and described.
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												  Information for InstructorUsing a Single-Nucleotide Polymorphism to Predict Bitter-Tasting Ability 21 INFORMATION FOR INSTRUCTOR CONCEPTS AND METHODS This laboratory can help students understand several important concepts of modern biology: • The relationship between genotype and phenotype. • The use of single-nucleotide polymorphisms (SNPs) in predicting drug response (pharmacogenetics). • A number of SNPs are inherited together as a haplotype. • The movement between in vitro experimentation and in silico computation. The laboratory uses several methods for modern biological research: • DNA extraction and purification. • Polymerase chain reaction (PCR). • DNA restriction. • Gel electrophoresis. • Bioinformatics. LAB SAFETY The National Association of Biology Teachers recognizes the importance of laboratory activities using human body samples and has developed safety guidelines to minimize the risk of transmitting serious disease. ("The Use of Human Body Fluids and Tissue Products in Biology," News & Views, June 1996.) These are summarized below: • Collect samples only from students under your direct supervision. • Do not use samples brought from home or obtained from an unknown source. • Do not collect samples from students who are obviously ill or are known to have a serious communicable disease. • Have students wear proper safety apparel: latex or plastic gloves, safety glasses or goggles, and lab coat or apron. • Supernatants and samples may be disposed of in public sewers (down lab drains). • Have students wash their hands at the end of the lab period. • Do not store samples in a refrigerator or freezer used for food. The risk of spreading an infectious agent by this lab method is much less likely than from natural atomizing processes, such as coughing or sneezing.
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												  Bitter Taste Perception in Neanderthals Through the Analysis of TheView metadata, citation and similar papers Downloadedat core.ac.uk from http://rsbl.royalsocietypublishing.org/ on March 22, 2016 brought to you by CORE provided by Repositorio Institucional de la Universidad de Oviedo Biol. Lett. (2009) 5, 809–811 The most extensively studied taste variation in doi:10.1098/rsbl.2009.0532 humans is sensitivity to a bitter substance called phe- Published online 12 August 2009 nylthiocarbamide (PTC). Although approximately 75 Evolutionary biology per cent of the world population perceives this sub- stance as intensely bitter, it is virtually tasteless for the remaining 25 per cent of the population (Kim & Bitter taste perception in Drayna 2004). This is owing to a dominant ‘taster’ allele that shows a similar frequency to the recessive Neanderthals through the ‘non-taster’ allele. PTC itself is not found in any vegetable, but chemically similar substances that analysis of the TAS2R38 produce an identical response to PTC are present in gene many plant foods (including Brussels sprouts, cabbage, broccoli and others). It was discovered Carles Lalueza-Fox1,*, Elena Gigli1, (Kim et al. 2003) that most of the variation in PTC Marco de la Rasilla2, Javier Fortea2 sensitivity is related to polymorphisms at the and Antonio Rosas3 TAS2R38 gene, a single 1002 bp coding exon that encodes a 333-amino-acid, G-protein-coupled recep- 1Institut de Biologia Evolutiva, CSIC-UPF, Dr. Aiguader 88, 08003 Barcelona, Spain tor. The TAS2R38 gene has three amino-acid changes 2A´ rea de Prehistoria, Departamento de Historia, Universidad de Oviedo, in high frequencies that determine only five main hap- Teniente Alfonso Martı´nez s/n, 33011 Oviedo, Spain lotypes.
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												  Lecture 9: Population GeneticsLecture 9: Population Genetics Plan of the lecture I. Population Genetics: definitions II. Hardy-Weinberg Law. III. Factors affecting gene frequency in a population. Small populations and founder effect. IV. Rare Alleles and Eugenics The goal of this lecture is to make students familiar with basic models of population genetics and to acquaint students with empirical tests of these models. It will discuss the primary forces and processes involved in shaping genetic variation in natural populations (mutation, drift, selection, migration, recombination, mating patterns, population size and population subdivision). I. Population genetics: definitions Population – group of interbreeding individuals of the same species that are occupying a given area at a given time. Population genetics is the study of the allele frequency distribution and change under the influence of the 4 evolutionary forces: natural selection, mutation, migration (gene flow), and genetic drift. Population genetics is concerned with gene and genotype frequencies, the factors that tend to keep them constant, and the factors that tend to change them in populations. All the genes at all loci in every member of an interbreeding population form gene pool. Each gene in the genetic pool is present in two (or more) forms – alleles. Individuals of a population have same number and kinds of genes (except sex genes) and they have different combinations of alleles (phenotypic variation). The applications of Mendelian genetics, chromosomal abnormalities, and multifactorial inheritance to medical practice are quite evident. Physicians work mostly with patients and families. However, as important as they may be, genes affect populations, and in the long run their effects in populations have a far more important impact on medicine than the relatively few families each physician may serve.
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												  Hemizygous Or Haploid Sex Diploid Sex9781405132770_4_002.qxd 1/19/09 2:22 PM Page 16 Table 2.1 Punnett square to predict genotype frequencies for loci on sex chromosomes and for all loci in males and females of haplo-diploid species. Notation in this table is based on birds where the sex chromosomes are Z and W (ZZ males and ZW females) with a diallelic locus on the Z chromosome possessing alleles A and a at frequencies p and q, respectively. In general, genotype frequencies in the homogametic or diploid sex are identical to Hardy–Weinberg expectations for autosomes, whereas genotype frequencies are equal to allele frequencies in the heterogametic or haploid sex. Hemizygous or haploid sex Diploid sex Genotype Gamete Frequency Genotype Gamete Frequency ZW Z-A p ZZ Z-A p Z-a q Z-a q W Expected genotype frequencies under random mating Homogametic sex Z-A Z-A p2 Z-A Z-a 2pq Z-a Z-a q2 Heterogametic sex Z-A W p Z-a W q ·· 9781405132770_4_002.qxd 1/19/09 2:22 PM Page 19 Table 2.2 Example DNA profile for three simple tandem repeat (STR) loci commonly used in human forensic cases. Locus names refer to the human chromosome (e.g. D3 means third chromosome) and chromosome region where the SRT locus is found. Locus D3S1358 D21S11 D18S51 Genotype 17, 18 29, 30 18, 18 ·· 9781405132770_4_002.qxd 1/19/092:22PMPage20 Table 2.3 Allele frequencies for nine STR loci commonly used in forensic cases estimated from 196 US Caucasians sampled randomly with respect to geographic location.
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												  Abstracts of Papers Presented at the Mammalian Genetics GroupGenet. Res., Camb. (1982), 40, pp. 99-106 gg Printed in Great Britain Abstracts of papers presented at the Mammalian Genetics Group meeting, held at the Royal Free Hospital Medical School on 26 and 27 November 1981 Are patterns of cell differentiation reflected in mammalian gene maps? BY LARS-G. LUNDIN Department of Medical and Physiological Chemistry, Biomedicum, University of Uppsala, Box 575 S-751 23, Uppsala, Sweden There are two separate types of gene homologies. New genetic material can arise by gene duplication, either by regional duplication or by tetraploidization. Both these mechanisms of gene duplication give rise to paralogous genes through subsequent divergent evolution. Thus, paralogous genes exist within a species and have a common ancestral gene. Orthologous genes are found in different species and have diverged from their common ancestral gene as part of the process of speciation and separate evolution. Linkage conservation, as reflected by orthologous chromo- somal regions, has been demonstrated for quite extensive parts of mammalian chromosomes. Three possible groups of paralogous chromosomal regions in mouse and man will be suggested. The phenomenon of differential gene silencing and its consequence for our ability to detect paralogies will be described and exemplified. It is suggested that there may be a temporal relationship between closely linked genes. This will be exemplified by genes likely to be active in cells derived from the neural crest. Thus, it seems that genes for inner ear defects in the mouse are often closely linked to coat colour genes. Some other genes clustering around pigment genes will be discussed. Comparative aspects of the evolution of 'dispersed' and 'tandem' families of sequences in species of rodents BY GABRIEL DOVER AND S.
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												  Popgen7: Genetic DriftPopGen7: Genetic Drift Sampling error Before taking on the notion of genetic drift in populations, let’s first take a look at sampling variation. Let’s consider the age-old coin tossing experiment. Assume a fair coin with p = ½. If you sample many times the most likely single outcome = ½ heads. The overall most likely outcome ≠ ½ heads. This is a binomial sampling problem. ⎛n⎞ k n−k P = ⎜ ⎟()()1/ 2 1/ 2 ⎝k ⎠ ⎛n⎞ n! ⎜ ⎟ = ⎝k ⎠ k!()n − k ! n is the number of flips k is the number of successes Let’s look at the probability of the following: k heads from n flips Probability k =5 from n = 10 0.246 k =6 from n = 10 0.205 So, the most likely single outcome is ½ heads (with p = 0.246), the overall likelihood of observing something other than ½ heads is higher (p = 1 – 0.246 = 0.754) The good news is that as we increase the sample size the likelihood of observing something very close to the expected frequency, E(p) = 0.5, goes up. The probability of a given frequency of heads from n flips of the coin is: N flips p <0.35 p = 0.35-0.45 p = 0.45-0.55 p = 0.55-0.65 p <0.65 variance 10 0.16 0.21 0.25 0.21 0.16 0.025 20 0.06 0.19 0.50 0.19 0.06 0.0125 50 0.002 0.16 0.68 0.16 0.002 0.005 It is clear that sample size N is important.
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												  Alternatives to Relational Databases in Precision Medicine: Comparison of Nosql Approaches for Big Data Storage Using SupercomputersALTERNATIVES TO RELATIONAL DATABASES IN PRECISION MEDICINE: COMPARISON OF NOSQL APPROACHES FOR BIG DATA STORAGE USING SUPERCOMPUTERS by Enrique Israel Velazquez MS, University of Pittsburgh, 2011 MPH, University of Pittsburgh, 2011 MD, University of Nuevo Leon Medical School, Mexico, 2005 Submitted to the Graduate Faculty of Department of Human Genetics Graduate School of Public Health in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2015 UNIVERSITY OF PITTSBURGH Graduate School of Public Health This dissertation was presented by Enrique Israel Velazquez It was defended on June 29, 2015 and approved by Dissertation Advisor: Michael Barmada, Ph.D., Associate Professor, Department of Human Genetics, Graduate School of Public Health; Associate Professor, Department of Biomedical Informatics; Director, Center for Computational Genetics, Graduate School of Public Health; Associate Director, Center for Simulation and Modeling, University of Pittsburgh; Co-Director, Informatics Resource Center, Institute for Personalized Medicine, University of Pittsburgh Schools of the Health Sciences and University of Pittsburgh Medical Center (UPMC) Committee Members: Eleonor Feingold, Ph.D., Professor, Department of Human Genetics; Professor, Department of Biostatistics; Associate Dean for Education, Office of the Dean; Senior Associate Dean, Office of the Dean, Graduate School of Public Health, University of Pittsburgh Harry Hochheiser, Ph.D., Assistant Professor, Department of Biomedical Informatics, School of Medicine, University of Pittsburgh Alexandros Labrinidis, Ph.D., Associate Professor, Department of Computer Science; Co-Director, Advanced Data Management Technologies Laboratory, University of Pittsburgh; Adjunct Associate Professor, Computer Science Department, Carnegie Mellon University Ryan Minster, Ph.D., Assistant Professor, Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh ii Copyright © by Enrique Israel Velazquez 2015 iii Michael Barmada, Ph.D.
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												  Factors Influencing the Phenotypic Characterization of the Oral Markernutrients Review Factors Influencing the Phenotypic Characterization of the Oral Marker, PROP Beverly J. Tepper 1 ID , Melania Melis 2, Yvonne Koelliker 1, Paolo Gasparini 3, Karen L. Ahijevych 4 and Iole Tomassini Barbarossa 2,* ID 1 Department of Food Science, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, NJ 08901-8520, USA; [email protected] (B.J.T.); [email protected] (Y.K.) 2 Department of Biomedical Sciences, University of Cagliari, Monserrato, Cagliari 09042, Italy; [email protected] 3 Department of Reproductive and Developmental Sciences, IRCCS Burlo Garofolo, University of Trieste, Trieste 34137, Italy; [email protected] 4 College of Nursing, Ohio State University, Columbus, OH 43210, USA; [email protected] * Correspondence: [email protected]; Tel.: +39-070-6754144 Received: 29 September 2017; Accepted: 20 November 2017; Published: 23 November 2017 Abstract: In the last several decades, the genetic ability to taste the bitter compound, 6-n-propyltiouracil (PROP) has attracted considerable attention as a model for understanding individual differences in taste perception, and as an oral marker for food preferences and eating behavior that ultimately impacts nutritional status and health. However, some studies do not support this role. This review describes common factors that can influence the characterization of this phenotype including: (1) changes in taste sensitivity with increasing age; (2) gender differences in taste perception; and (3) effects of smoking and obesity. We suggest that attention to these factors during PROP screening could strengthen the associations between this phenotype and a variety of health outcomes ranging from variation in body composition to oral health and cancer risk.
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												  Review ArticleJ Med Genet: first published as 10.1136/jmg.4.1.44 on 1 March 1967. Downloaded from Review Article J. med. Genet. (I967). 4, 44. Human Polymorphism J. PRICE* F-rom the Nuffield Unit of Medical Genetics, Department of Medicine, University ofLLiverpool Ford (I940) has defined polymorphism as the If this were the case, any attempt to relate this occurrence together in the same habitat of two or polymorphism to differences in function of the more discontinuous forms or phases of a species various forms of acid phosphatase would plainly not in such proportions that the rarest of them cannot succeed. be maintained merely by recurrent mutation. So few selective mechanisms (similar to that In his Genetic Polymorphism (I965) he states relating sickle cell trait to falciparum malaria) (p. I4) that 'A unifactorial character must be poly- have been discovered, that the present position is morphic if found even in I% of a considerable that most polymorphisms described are, so to population, amounting perhaps to 5oo individuals speak, 'in search of a disease', which they seem on or more, when random genetic drift may reasonably present evidence unlikely to find. The selective be excluded as unimportant'. This figure of I% factors may, of course, not be concerned with has been used in this paper as a rough dividing disease, but be connected with fertility, ability to line between what needs to be mentioned and what gather food, and other forms of fitness. does not. This fruitless searching for selective mechanismscopyright. Ford's definition excludes continuous variation, which will give a clear-cut explanation of known as exemplified by human height and skin colour, polymorphisms seems to have deterred a great and it excludes rare disadvantageous recessive con- many investigators from making any attempt to ditions, such as albinism and haemophilia.
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												  Identification of Human Polymorphisms in the Phenylthio- Carbamide (PTC) Bitter Taste Receptor Gene and ProteinTested Studies for Laboratory Teaching Proceedings of the Association for Biology Laboratory Education Vol. 33, 246–250, 2012 Identification of Human Polymorphisms in the Phenylthio- carbamide (PTC) Bitter Taste Receptor Gene and Protein Julia A. Emerson, Ph.D. Amherst College, Department of Biology, P.O. Box 5000, Amherst MA 01002 USA ([email protected]) This paper introduces a lab project developed for the Summer Teachers’ Workshop in Genomics at Amherst Col- lege, and is easily tailored to the weekly format of undergraduate laboratory courses in genetics, genomics, mo- lecular biology, or evolution. The project examines single nucleotide polymorphisms associated with human taste sensitivity to the bitter compound phenylthiocarbamide (PTC). Human cheek cell DNA is amplified and sequenced using PTC-specific primers, and sequence variations in the PTC gene are correlated with taste sensitivity to PTC strips. A ‘dry lab’ version of the activity can also be done using pre-obtained DNA sequences from individuals with known PTC genotypes. Keywords: bitter taste receptor, SNPs, phenylthiocarbamide (PTC) Introduction In this project, group members investigate the associa- The single exon of the PTC gene encodes a G-protein tion in different people between taste sensitivity to the bitter linked receptor, 333 amino acids in length, with seven- compound phenylthiocarbamide (PTC) and single nucleo- transmembrane domains. Kim and co-workers identified tide polymorphisms (SNPs) in the PTC bitter taste receptor three common SNPs associated with PTC sensitivity, each gene (PTC; also known as TAS2R38, for taste receptor, type of which results in changes to the amino acid sequence of the 2, member 38). The inability to taste certain compounds has PTC receptor (Table 1).
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												  A Fundamental Relationship Between Genotype Frequencies and FitnessesCopyright Ó 2008 by the Genetics Society of America DOI: 10.1534/genetics.108.093518 A Fundamental Relationship Between Genotype Frequencies and Fitnesses Joseph Lachance1 Graduate Program in Genetics, Department of Ecology and Evolution, State University of New York, Stony Brook, New York 11794-5222 Manuscript received July 3, 2008 Accepted for publication August 7, 2008 ABSTRACT The set of possible postselection genotype frequencies in an infinite, randomly mating population is found. Geometric mean heterozygote frequency divided by geometric mean homozygote frequency equals two times the geometric mean heterozygote fitness divided by geometric mean homozygote fitness. The ratio of genotype frequencies provides a measure of genetic variation that is independent of allele frequencies. When this ratio does not equal two, either selection or population structure is present. Within-population HapMap data show population-specific patterns, while pooled data show an excess of homozygotes. HAT patterns of genetic variation are possible within the set of possible postselection genotype frequencies is W a population, and how does natural selection affect derived. Much like how the Hardy–Weinberg principle these patterns? R. A. Fisher remarked ‘‘it is often conve- describes population genetic states in the absence of nient to consider a natural population not so much as an selection, this novel equation describes population genetic aggregate of living individuals but as an aggregate of gene states in the presence of selection. In the context of ratios’’ (Fisher 1953, p. 515). This mathematical abstrac- genotype-frequency space, this is a multidimensional tion allows key questions in evolutionary genetics to be surface, the curvature of which is influenced by natural addressed.