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Dissertations / Theses on the topic 'Genetic analysis; Flies; Traits'

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1

Macdonald, Stuart J. "Evolutionary and genomic analyses of complex traits in Drosophila." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365832.

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2

Kirin, Mirna. "Genetic analysis of retinal traits." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9619.

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Retina is a unique site in the human body where the microcirculation can be imaged directly and non-invasively, allowing us to study in vivo the structure and pathology of the human microcirculation. Retinal images can be quantitatively assessed with computerized imaging techniques, enabling us to measure several different quantitative traits derived from the retinal vasculature. Arterial and venular calibres are the most extensively studied traits of the retinal microvasculature and numerous epidemiological studies demonstrated promising associations with systemic and ocular diseases as well
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3

Hendel, Thomas. "Genetic Tools for the Analysis of Neural Networks in Flies." Diss., lmu, 2008. http://nbn-resolving.de/urn:nbn:de:bvb:19-80505.

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4

Marlow, Angela J. "Genetic analysis of multivariate traits in dyslexia." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404177.

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5

Randall, Joshua Charles. "Large-scale genetic analysis of quantitative traits." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:addfb69d-602c-43e3-ab18-6e6d3b269076.

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Recent advances in genotyping technology coupled with an improved understanding of the architecture of linkage disequilibrium across the human genome have resulted in genome-wide association studies (GWAS) becoming a useful and widely applied tool for discovering common genetic variants associated with both quantitative traits and disease risk. After each GWAS was completed, it left behind a set of genotypes and phenotypes, often including anthropometric measures used as covariates. Genetic associations with anthropometric measures are not well characterized, perhaps due to lack of power to de
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6

Groves-Kirkby, Nick. "Genetic analysis of variation in complex traits." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:4541c4e4-4538-4348-bb4b-0df6673344d2.

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Variation is a universal property of life, and much of contemporary genetics research is directed towards understanding the causes of variation in traits. Here I present the results of my investigations into the genetic and other causes of trait variation in humans and mice. I address these questions in the context of two distinct research projects, which use pre-existing data to investigate the causes of trait variation, through a range of analytic techniques. I first extract trait data from historic breeding records from the incipient Collaborative Cross (a genetic reference population of re
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7

Riveros, Mckay Aguilera Fernando. "Genetic studies of cardiometabolic traits." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/289420.

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Diet and lifestyle have changed dramatically in the last few decades, leading to an increase in prevalence of obesity, defined as a body mass index >30Kg/m2, dyslipidaemias (defined as abnormal lipid profiles) and type 2 diabetes (T2D). Together, these cardiometabolic traits and diseases, have contributed to the increased burden of cardiovascular disease, the leading cause of death in Western societies. Complex traits and diseases, such as cardiometabolic traits, arise as a result of the interaction between an individual's predisposing genetic makeup and a permissive environment. Since 2007, g
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8

Albertsdóttir, Elsa. "Genetic analysis of competition traits in Icelandic horses /." Uppsala : Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 2007. http://epsilon.slu.se/10360486.pdf.

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9

Keith, Deborah J. "Genetic analysis of quantitative traits in Brassica napus." Thesis, University of East Anglia, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296926.

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10

Edmunds, S. V. "Genetic analysis of tritrophic interactions between entompathogenic nematodes, symbiotic bacteria and blood-sucking flies." Thesis, Liverpool John Moores University, 2018. http://researchonline.ljmu.ac.uk/9708/.

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Mosquitoes are responsible for millions of deaths a year through the viruses and parasites they vector. Many of these vector species have successfully expanded their range into temperate climates due to a combination of climate change and the easy movement of goods and people around the world. The temperate climate of the U.K. is home to 34 native species, several of which bite humans and are capable of vectoring pathogens more commonly associated with warmer climates, therefore the threat of mosquito-borne illness in the U.K. is a very real possibility. Many vector mosquito species have evolv
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11

Ball, Nia. "Temperament traits in cattle : measurement and preliminary genetic analysis." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/10716.

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The aims of this project were i) to take measures of behaviour in cattle that could be demonstrated to be reliable indicators of temperament traits, and ii) to look for areas of the genome harbouring genes involved in these traits. Behavioural tests were carried out on a large number of animals from a Charolais x Holstein cross-bred herd. Four different tests were examined for their potential to measure different temperament traits: a Flight-from-Feeder Test (FF), a Social Separation Test (SS), a Novel Object Test (NO) and a Handling Test (HA). The results of the tests were assessed using two
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12

Taylor, Dennis Leland. "A genetic analysis of molecular traits in skeletal muscle." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/274158.

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Genome Wide Association Studies (GWASs) have identified variants associated with disease that promise to deliver insights into disease aetiology. However, because many GWAS variants lie in non-coding genomic regions, it is difficult to define the genes and pathways underlying a GWAS signal. The possibility of linking GWAS variants to molecular traits, combined with the development of high throughput assays, has motivated the mapping of molecular quantitative trait loci (QTLs), genetic associations with molecular traits such as gene expression (eQTLs) and DNA methylation (mQTLs). The Finland-Un
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13

Morrill, Benson H. "Quantitative Genetic Analysis of Reproduction Traits in Ball Pythons." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1005.

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Although the captive reproduction of non-avian reptiles has increased steadily since the 1970’s, a dearth of information exists on successful management practices for large captive populations of these species. The data reported here come from a captive population of ball pythons (Python regius) maintained by a commercial breeding company, The Snake Keeper, Inc. (Spanish Fork, UT). Reproductive data are available for 6,480 eggs from 937 ball python clutches. The data presented suggest that proper management practices should include the use of palpation and/or ultrasound to ensure breeding occu
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14

Nagy, Réka. "Genetic analysis using family-based populations." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/28978.

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Most human traits are influenced by a combination of genetic and environmental effects. Heritability expresses the proportion of trait variance that can be explained by genetic factors, and the 1980s heralded the beginning of studies that aimed to pinpoint genetic loci that contribute to trait variation, also known as quantitative trait loci (QTLs). Subsequently, the availability of cheap, high-resolution genotyping chips ushered in the era of genome-wide association studies (GWAS). These genetic studies have discovered many associations between single-nucleotide polymorphisms (SNPs) and compl
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15

Jayawardena, Mahen. "An e-Science Approach to Genetic Analysis of Quantitative Traits." Doctoral thesis, Uppsala universitet, Avdelningen för teknisk databehandling, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-111597.

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Many important traits in plants, animals and humans are quantitative, and most such traits are generally believed to be affected by multiple genetic loci. Standard computational tools for mapping of quantitative traits (i.e. for finding Quantitative Trait Loci, QTL, in the genome) use linear regression models for relating the observed phenotypes to the genetic composition of individuals in an experimental population. Using these tools to simultaneously search for multiple QTL is computationally demanding. The main reason for this is the complex optimization landscape for the multidimensional g
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16

Drew, Robert Edward. "Genetic analysis of traits associated with domestication in rainbow trout." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Dissertations/Spring2006/r%5Fdrew%5F122205.pdf.

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17

Verma, Vinesh. "Genetic analysis of agronomic traits in wheat (Triticum aestivum L.)." Thesis, University of Reading, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270848.

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18

Goddard, Katrina Blouke. "Study design issues in the analysis of complex genetic traits /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/9565.

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19

Jayawardena, Mahen. "Parallel algorithms and implementations for genetic analysis of quantitative traits." Licentiate thesis, Uppsala universitet, Avdelningen för teknisk databehandling, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-85815.

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Many important traits in plants, animals and humans are quantitative, and most such traits are generally believed to be regulated by multiple genetic loci. Standard computational tools for analysis of quantitative traits use linear regression models for relating the observed phenotypes to the genetic composition of individuals in a population. However, using these tools to simultaneously search for multiple genetic loci is very computationally demanding. The main reason for this is the complex nature of the optimization landscape for the multidimensional global optimization problems that must
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20

Mahjani, Behrang. "Methods from Statistical Computing for Genetic Analysis of Complex Traits." Doctoral thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-284378.

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The goal of this thesis is to explore, improve and implement some advanced modern computational methods in statistics, focusing on applications in genetics. The thesis has three major directions. First, we study likelihoods for genetics analysis of experimental populations. Here, the maximum likelihood can be viewed as a computational global optimization problem. We introduce a faster optimization algorithm called PruneDIRECT, and explain how it can be parallelized for permutation testing using the Map-Reduce framework. We have implemented PruneDIRECT as an open source R package, and also Soft
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21

Dhliwayo, Thanda. "Genetic mapping and analysis of traits related to improvement of popcorn." [Ames, Iowa : Iowa State University], 2008.

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22

Pirzada, Rashid Hussain. "Genetic analysis of production, fertility and health traits of dairy cows." Thesis, Bangor University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364588.

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23

Linney, Yvonne. "A quantitative genetic analysis of schizotypal personality traits and neuropsychological functioning." Thesis, King's College London (University of London), 2001. http://kclpure.kcl.ac.uk/portal/en/theses/a-quantitative-genetic-analysis-of-schizotypal-personality-traits-and-neuropsychological-functioning(cdce6371-4dd0-401e-873d-75fc5571afc1).html.

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24

Rao, Shaoqi. "Genetic Analysis of Sheep Discrete Reproductive Traits Using Simulation and Field Data." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30490.

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The applicability of restricted maximum likelihood (REML) in genetic analyses of categorical data was evaluated using simulation and field data. Four genetic models were used to simulate underlying phenotypic variates, which were derived as the sum of additive genetic and environmental effects (Model 1A and 1B) or additive genetic and permanent and temporary environmental effects (Model 2A and 2B). Fifty-eight replicates were simulated, each of which contained 5000 ewes by 500 sires and 5000 dams and with up to five records per ewe. The usual transformation of heritability estimated on the cat
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25

Do, Ron. "Global Analysis of genetic variants associated with cardiovascular disease and related metabolic traits." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=95134.

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Coronary heart disease (CHD) is the leading cause of morbidity and mortality in the western world. CHD is common throughout the world and is multifactorial, caused by the accumulation or interaction of quantitative changes in various intermediate traits (risk factors or metabolic phenotypes). Intermediate traits that are commonly studied include plasma levels of cholesterol (ie. low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C) and total cholesterol), body mass index (BMI) and blood pressure, which are all believed to be influenced by a combination of
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26

Dahlgren, Andreas. "Analysis of Complex Genetic Traits in Population Cohorts using High-throughput Genotyping Technology." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Universitetsbiblioteket [distributör], 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8291.

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27

Johnson, Michelle D. "Genetic analysis of hypertension and expression quantitative traits in the spontaneously hypertensive rat." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508322.

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28

Marques, Daniele Botelho Diniz. "Genetic parameters and genomic analysis of semen quality and fertility traits in pigs." Universidade Federal de Viçosa, 2017. http://www.locus.ufv.br/handle/123456789/18797.

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Submitted by Marco Antônio de Ramos Chagas (mchagas@ufv.br) on 2018-04-18T16:43:21Z No. of bitstreams: 1 texto completo.pdf: 1119071 bytes, checksum: 3dad9c3c8b4da25dfaf3676d6dcc7e69 (MD5)<br>Made available in DSpace on 2018-04-18T16:43:21Z (GMT). No. of bitstreams: 1 texto completo.pdf: 1119071 bytes, checksum: 3dad9c3c8b4da25dfaf3676d6dcc7e69 (MD5) Previous issue date: 2017-09-04<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>O uso generalizado da inseminação artificial (IA) contribuiu grandemente para o sucesso da indústria de suínos, por meio do auxílio e dissemina
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29

Larkin, Emma Katherine. "A Genetic Analysis of Correlated Traits: The Apnea Hypopnea Index and Body Mass Index." Connect to text online, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1175825365.

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Thesis (Ph. D.)--Case Western Reserve University, 2007.<br>[School of Medicine] Department of Epidemiology and Biostatistics. Includes bibliographical references. Available online via OhioLINK's ETD Center.
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30

Salah-ud-Din. "The genetic analysis of production and reproduction traits in Nili-Ravi buffalo in Pakistan /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu148767224590405.

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31

Meehan, Anna, and Henrik Evertsson. "Genetic and Environmental Influences on Psychopathic Personality Traits : A Meta-Analytic Review." Thesis, Örebro universitet, Institutionen för juridik, psykologi och socialt arbete, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-27685.

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To understand the etiology of psychopathic personality traits and thus in the long run to be able to develop successful prevention, a first step is to find out what role genetic and environmental effects play. A meta-review of 15 twin studies (N=26, 981), was conducted to estimate the magnitude of genetic and environmental influences on psychopathic personality traits. The results show that additive genetic (heritable) factors and non-shared environmental factors each explain 50% of the variance in psychopathic personality traits, while shared environmental factors were of no importance. Measu
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32

Park, Hee-Bok. "Genetic Analysis of Quantitative Traits Using Domestic Animals : A Candidate Gene and Genome Scanning Approach." Doctoral thesis, Uppsala University, Department of Medical Biochemistry and Microbiology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4582.

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<p>Domestication has led to genetic changes that affect quantitative traits in farm animals. Both candidate gene analysis using association tests and genome scans based on linkage analysis have been performed to understand the molecular basis underlying quantitative genetic variation in horses, pigs and chickens. To test a possible association of polymorphisms in the <i>PRKAG3</i> gene, previously found to be associated with excess glycogen content in pig skeletal muscle, with quantitative traits in the horse, the major coding part of the equine <i>PRKAG3</i> sequence was identified. Bioinform
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33

Kranis, Andreas. "Longitudinal aspects of the genetic analysis of reproduction traits in a modern heavy turkey line." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/11012.

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The objective of this thesis was to investigate the longitudinal aspect of the genetics of egg laying in two heavy female turkeys and explore whether considering time features of laying may improve selection efficiency. The dataset consisted of records from two commercial lines, although only one had longitudinal data. The genetic correlation between body weight and total egg number was estimated to be -0.7±0.1 and -0.5±0.1 in the two lines studied. Both estimates were highly negative and larger in magnitude than in traditional and lighter lines, suggesting that the continuous selection for gr
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34

Wittern, Lukas Maximilian. "Genetic analysis of the effect of circadian clock genes on yield component traits in wheat." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/279080.

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35

Garrido, Martín Diego 1992. "A Multivariate approach to study the genetic determinants of phenotypic traits." Doctoral thesis, Universitat Pompeu Fabra, 2020. http://hdl.handle.net/10803/668497.

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We have developed an efficient and reproducible pipeline for the identification of genetic variants affecting splicing (splicing quantitative trait loci or sQTLs), based on an approach that captures the intrinsically multivariate nature of this phenomenon. We employed it to study the multi-tissue transcriptome GTEx dataset, generating a comprehensive catalogue of sQTLs in the human genome. Downstream analyses of this catalogue provide novel insights into the mechanisms underlying alternative splicing regulation and its contribution to human complex traits and diseases. To facilitate the visual
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36

Liang, Wei <1982&gt. "Molecular strategies for genetic diversity analysis and development of markers linked to resistance traits in apple." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5910/.

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The goal of many plant scientists’ research is to explain natural phenotypic variation in term of simple changes in DNA sequence. DNA-based molecular markers are extensively used for the construction of genome-wide molecular maps and to perform genetic analysis for simple and complex traits. The PhD thesis was divided into two main research lines according to the different approaches adopted. The first research line is to analyze the genetic diversity in an Italian apple germplasm collection for the identification of markers tightly linked to targeted genes by an association genetic method. Th
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37

Paternoster, Lavinia. "Genetic risk factors for stroke-related quantitative traits and their associated ischaemic stroke subtypes." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4337.

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Stroke is the 2nd leading cause of death in the UK and worldwide. 150,000 people have a stroke each year in the UK (ischaemic stroke being the most common) and a significant proportion of NHS resources go towards the treatment of these individuals (~£2.8 billion). Twin and family history studies have shown that having affected relatives makes you between 30 and 76% more likely to suffer a stroke, suggesting that there is a genetic component to the disease. So far, no genes have been convincingly associated with stroke. Intermediate traits may be useful tools for identifying genetic factors in
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38

Huang, Mao. "Genetic Analysis of Quality Traits for Food-Grade Soybean (Glycine max L. Merr.) in a Breeding Population." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354715116.

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39

Ramalingam, Sathya [Verfasser]. "Genetic and Molecular analysis of yield and physiological traits in three line hybrids in rice (Oryza sativa L.) under aerobic condition : Genetic studies on physiological and morphological traits of three line hybrids / Sathya Ramalingam." München : GRIN Verlag, 2012. http://d-nb.info/1183291213/34.

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40

Kronhamn, Jesper. "Genetic analysis of genes found on the 4th chromosome of Drosophila - emphasizing the developmental context of Pax6." Doctoral thesis, Umeå universitet, Molekylärbiologi (Teknat- och Medfak), 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-287.

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The small size and the lack of recombination set the fourth chromosome of Drosophila melanogaster apart from the other chromosomes. I have shown that the Minute gene on chromosome 4, earlier named Minute-4, encodes the ribosomal protein RpS3A. Two Pax6 genes, eyeless (ey) and twin of eyeless (toy) are also located on chromosome 4. Pax6 genes are important in head and eye development in both mammals and Drosophila. I have focused much of the study on ey and toy. The first mutant of toy that was characterized showed a headless phenotype. This indicates that Toy is important for the development o
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41

Kiran, Aysha [Verfasser]. "Genetic and phenotypic analysis of complex seed and root traits in oilseed rape (Brassica napus L.) / Aysha Kiran." Gießen : Universitätsbibliothek, 2015. http://d-nb.info/1068874821/34.

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42

Laenoi, Watchara [Verfasser]. "Genetic analysis and expression study of candidate genes affecting leg weakness-related traits in pigs / Watchara Laenoi. Landwirtschaftliche Fakultät." Bonn : Universitäts- und Landesbibliothek Bonn, 2011. http://d-nb.info/1019528095/34.

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43

Alshugeairy, Zaniab. "Genetic, phenomic and molecular analysis of drought avoidance and recovery traits in rice for the improvement of plant breeding." Thesis, University of Aberdeen, 2013. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=203868.

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Rice (Oryza sativa L.) is one of the main staple foods of the world. With the increase of population and the deficit of irrigated water, the increase in rice production that is predicted will be dependent on areas prone to drought. Root depth is important for plant growth and survival during drought because of its role in facilitating water uptake from deep soil layers. By advances in genomics, the plant root systems can be linked to quantitative trait locus (QTL) information to achieve a most beneficial design of root system architecture. There is a demand to develop and validate techniques t
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44

Andersson, Bea Angelica. "Analysis of Selection and Genetic Drift in a Dioecious Plant : Spatial Genetic Structure and Selection in Phenotypic Traits in a Young Island Population of Silene dioica." Thesis, Umeå universitet, Institutionen för ekologi, miljö och geovetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-96275.

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Selection and genetic drift are often competing forces in shaping genetic structure in populations. Genetic drift will often effectively cancel out the effect of selection when population sizes are small, such as in colonizing island populations. On a small island in the Skeppsvik Archipelago in northern Sweden, a newly founded population of Silene dioica has been monitored since it first established around 1993. Though inhabiting an area of merely 173 m2, the population has been shown to exhibit a genetically differentiated patch structure where closely related individuals are tightly grouped
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45

Hoffstetter, Amber L. "Assessing genome wide breeding strategies for economic traits in soft winter wheat and their impact on genetic architecture." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1448825514.

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46

Natanzon, Yanina. "METABOLIC SYNDROME IN AN IMMUNOSUPPRESSED POPULATION: GENETIC CONTRIBUTION TO METABOLIC SYNDROME TRAITS IN THE WOMEN'S INTERAGENCY HIV STUDY." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1449252475.

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47

Schiller, Katja [Verfasser], and Jörn [Akademischer Betreuer] Bennewitz. "Phenotypic and genetic analysis of meat production traits in German Merinoland purebred and crossbred lambs / Katja Schiller ; Betreuer: Jörn Bennewitz." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2017. http://d-nb.info/1124051740/34.

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48

Konigorski, Stefan. "Development and application of new statistical methods for the analysis of multiple phenotypes to investigate genetic associations with cardiometabolic traits." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19132.

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Die biotechnologischen Entwicklungen der letzten Jahre ermöglichen eine immer detailliertere Untersuchung von genetischen und molekularen Markern mit multiplen komplexen Traits. Allerdings liefern vorhandene statistische Methoden für diese komplexen Analysen oft keine valide Inferenz. Das erste Ziel der vorliegenden Arbeit ist, zwei neue statistische Methoden für Assoziationsstudien von genetischen Markern mit multiplen Phänotypen zu entwickeln, effizient und robust zu implementieren, und im Vergleich zu existierenden statistischen Methoden zu evaluieren. Der erste Ansatz, C-JAMP (Copula-ba
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49

Blomquist, Thomas M. "Development of Bimodal Gene Expression Analysis and Allele-Specific Competitive PCR for Investigation of Complex Genetic Traits, Lung Cancer Risk." University of Toledo Health Science Campus / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=mco1277151230.

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50

Galal, Ushma. "The statistical theory underlying human genetic linkage analysis based on quantitative data from extended families." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_2684_1361989724.

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<p>Traditionally in human genetic linkage analysis, extended families were only used in the analysis of dichotomous traits, such as Disease/No Disease. For quantitative traits, analyses initially focused on data from family trios (for example, mother, father, and child) or sib-pairs. Recently however, there have been two very important developments in genetics: It became clear that if the disease status of several generations of a family is known and their genetic information is obtained, researchers can pinpoint which pieces of genetic material are linked to the disease or trait. It also beca
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