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Books on the topic 'Genetic trait'

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Published: 4 June 2021
Last updated: 4 February 2022

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1

Sebastian, Rachel Louise. The genetic mapping and quantitative trait analysis of Brassica Oleracea. Birmingham: University of Birmingham, 2000.

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2

service), ScienceDirect (Online, ed. Computational methods for genetics of complex traits. London: Academic Press, 2010.

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3

Maroni, Gustavo. Molecular and Genetic Analysis of Human Traits. New York: John Wiley & Sons, Ltd., 2007.

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4

Genes, chromosomes, and disease: From simple traits, to complex traits, to personalized medicine. Upper Saddle River, New Jersey: FT Press Science, 2011.

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5

Fontanesi, Luca, ed. The genetics and genomics of the rabbit. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781780643342.0000.

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Abstract The purpose of the book is to present in one location a comprehensive overview of the progress of genetics in the rabbit, with a modern vision that integrates genomics to obtain a complete picture of the state of the art and of the applications in this species, defined according to the multiple uses and multi-faceted places that this species has in applied and fundamental biology. The 18 chapters cover several fields of genetics and genomics: Chapters 1 and 2 present the rabbit within the evolutionary framework, including the systematics, its domestication and an overview of the genetic resources (breeds and lines) that have been developed after domestication. Chapters 3-5 cover the rabbit genome, cytogenetics and genetic maps and immunogenetics in this species. Chapters 6-8 present the genetics and molecular genetics of coat colours, fibre traits and other morphological traits and defects. Chapters 9-13 cover the genetics of complex traits (disease resistance, growth and meat production traits, reproduction traits), reproduction technologies and genetic improvement in the meat rabbits. Chapters 14-18 present the omics vision, the biotech and biomodelling perspectives and applications of the rabbit. This book is addressed to a broad audience, including students, teachers, researchers, veterinarians and rabbit breeders.
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6

Alan, Sacerdote, ed. Hope and destiny: The patient's and parent's guide to sickle cell disease and sickle cell trait. Roscoe, Ill: Hilton Pub. Co., 2002.

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7

Alan, Sacerdote, ed. Hope and destiny: The patient's and parent's guide to sickle cell disease and sickle cell trait. Roscoe, Ill: Hilton Pub. Co., 2006.

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8

Ablokov, A. V. I. Phenetics: Evolution, population, trait. New York: Columbia University Press, 1986.

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9

Phenetics--evolution, population, trait. New York: Columbia University Press, 1986.

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10

Salyers, Abigail A. Antibiotic resistance transfer in the mammalian intestinal tract. New York: Springer, 1995.

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11

Weller, Joel Ira. Quantitative trait loci analysis in animals. 2nd ed. Cambridge, MA: CABI North American Office, 2009.

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12

Maroni, Gustavo, ed. Molecular and Genetic Analysis of Human Traits. Malden, Massachusetts, USA: Blackwell Science Inc, 2000. http://dx.doi.org/10.1002/9780470760079.

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13

The genetics of renal tract disorders. Oxford: Oxford University Press, 1988.

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14

1957-, Walsh Bruce, ed. Genetics and analysis of quantitative traits. Sunderland, Mass: Sinauer, 1998.

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15

Quinn, Katherine. The genetic evaluation of calving ease and related traits in Ireland. Dublin: University College Dublin, 1998.

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16

Traits and attributes. New York: Crabtree Pub., 2010.

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17

Hyde, Natalie. Traits and attributes. New York: Crabtree Pub., 2010.

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18

Weller, Joel Ira. Quantitative trait loci analysis in animals. Oxon, UK: CABI Pub., 2001.

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19

Lantbruksuniversitet, Sveriges, ed. Genome analysis of quantitative trait loci in the pig. Uppsala: Sveriges Lantbruksuniversitet, 1997.

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20

Percy, Adrian John. Genetic toxicity of aryl amines in the intestine tract. Birmingham: University of Birmingham, 1991.

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21

Bernardo, Rex Novero. Breeding for quantitative traits in plants. 2nd ed. Woodbury, Minn: Stemma Press, 2010.

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22

Breeding for quantitative traits in plants. Woodbury, Minn: Stemma Press, 2002.

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23

Kiaris, Hippokratis. Genes, polymorphisms, and the making of societies: How genetic behavioral traits influence human cultures. Boca Raton: Universal-Publishers, 2012.

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24

Hayhurst, Chris. Looking at how genetic traits are inherited with graphic organizers. New York: The Rosen Pub. Group, 2006.

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25

Su, Guosheng. Genetic analysis of growth and reproductive traits in rainbow trout. Uppsala: Sveriges Lantbruksuniversitet, 1996.

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26

Gloyn, Anna L., and Mark I. McCarthy. Genetics in diabetes: Type 2 diabetes and related traits. Basel: Karger, 2014.

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27

Gelernter, Joel. Complex Trait Genetics and Population Genetics in Psychiatry. Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.016.

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Nearly all behavioral traits, ranging from personality traits such as neuroticism to schizophrenia and autism, are genetically influenced. With only minor exceptions, all are genetically complex—meaning that inheritance is not simply dominant or recessive or sex-linked, but follows more complex patterns indicative of more complex mechanisms. Most risk variants identified to date have only small effects on risk, and, in most cases, many risk variants at many risk loci interact with environmental factors to produce the phenotype. Such complexity has led to great challenges in increasing our knowledge of the inheritance of behavioral traits. Recent methodological advances have provided an improved set of tools that has led to advances in our understanding of the genetic influences on a range of behavioral traits. This chapter examines some of the issues involved that tend to make this a difficult problem and some of the solutions now being employed to approach those problems.
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28

Weller, Joel. Genomic Selection in Animals. Wiley & Sons, Incorporated, John, 2016.

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29

Genomic Selection in Animals. Wiley-Blackwell, 2016.

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30

Weller, Joel. Genomic Selection in Animals. Wiley & Sons, Incorporated, John, 2016.

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31

Iyamabo, Odianosen E. Effects of selection, recombination and plot type on phenotypic and quantitative trait locus analyses in barley (Hordeum vulgare L.). 1993.

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32

(Editor), Jeffrey C. Hall, Jay C. Dunlap (Editor), Theodore Friedmann (Editor), and Francesco Giannelli (Editor), eds. Advances in Genetics, Volume 41 (Advances in Genetics). Academic Press, 1999.

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33

Xu, Peng, Lior David, Paulino Martinez, and Gen Hua Yue, eds. Genetic Dissection of Important Traits in Aquaculture: Genome-scale Tools Development, Trait Localization and Regulatory Mechanism Exploration. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88963-914-4.

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34

Reuter, Martin, and Christian Montag. The Genetic Basis of Positive Emotionality. Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.015.

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The chapter addresses the molecular genetic basis of the personality trait positive emotionality (PE). Beginning with historical aspects of heritability estimation and personality assessment, the main portion of this chapter discusses the molecular genetics basis of PE, which is investigated far less frequently than that of negative emotionality (NE). The studies reviewed focus on individual differences in PE in healthy subjects and include only those studies that assess PE by broadly accepted personality inventories. The review is concentrated on dopaminergic and serotonergic genes because these genes show the most association with PE.
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35

Welsh-Maddux, Molly. Anatomical and genetic analyses of the slashed pod trait in lentil (Lens culinaris Medik.). 1992.

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36

(Editor), Jeffrey C. Hall, Jay C. Dunlap (Editor), Theodore Friedmann (Editor), and Francesco Giannelli (Editor), eds. Advances in Genetics, Volume 41 (Advances in Genetics). Academic Press, 1999.

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37

Al-Rjoub, Faisal Ahmed. Mapping quantitative trait loci affecting sucrose accumulation in barley seedlings under water stress. 1994.

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38

Valdes, Ana M. Genetics. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0009.

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Epidemiological studies have demonstrated that osteoarthritis (OA) is a complex trait with numerous environmental and genetic risk factors. A great deal of effort has been spent elucidating these risk factors and progress has been made. It is clear however that the causes behind OA development and progression continue to remain largely elusive. Identification of those genes that, in conjunction with environmental factors, predispose to OA severity will lead to a better understanding of the mechanisms underlying disease development and thus promote improved health strategies for prevention. An understanding of the molecular signalling pathways involved in the initiation and progression of the disease will improve clinical diagnosis and help identify improved, tailored treatment regimens. This chapter focuses on these issues, exploring the heritability of OA, known genetic risk factors, and specific traits and outcomes studied in the genetics of OA.
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39

Walsh, Bruce, and Michael Lynch. Evolution and Selection of Quantitative Traits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.001.0001.

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Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences. This extensive work of reference is suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to plant and animal breeders, human geneticists, and statisticians.
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40

Application of New Genetic Technologies to Animal Breeding. CSIRO Publishing, 2005. http://dx.doi.org/10.1071/9780643093003.

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The 16th Biennial Conference of the Association for the Advancement of Animal Breeding and Genetics (AAABG) gathers together scientists, extension workers, producers and industry personnel to review developments in the application of new technologies to animal breeding. Conference presentations include 30 invited reviews and papers, and 95 contributed papers. All papers are peer-reviewed, and cover session topics that focus on genetic evaluation systems, gene expression profiling, identification and manipulation of quantitative trait loci, progress in applied programs and advanced statistical and computing techniques. Industry applications are discussed for improvement in production, health and reproduction of domestic livestock, aquaculture species and even crocodiles and ostriches. Institutions and industries in Australia, New Zealand, USA, South Africa, South-East Asia and Japan are represented with significant participation of major Cooperative Research Centres. These proceedings contain the full text of all contributed papers and summaries of the invited reviews which are published separately in the Australian Journal of Experimental Agriculture.
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41

Nielsen, François. Genes and Status Achievement. Edited by Rosemary L. Hopcroft. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190299323.013.22.

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A number of human traits that are predictive of socioeconomic success (e.g., intelligence, certain personality traits, and educational attainment) or reflective of success (e.g., occupational prestige and earnings) have been found to be substantially affected by individual genetic endowments; some outcomes, such as educational attainment, are also affected by the family environment, although usually to a lesser extent. The associations among status-related traits are themselves largely due to genetic causes. By reshuffling the genes of parents at each generation, sexual reproduction produces a regression of status-relevant traits of offspring toward the population mean—downward for high-status parents, upward for low-status parents—generating social mobility in an achievement-oriented society. Incorporating the quantitative genetic decomposition of trait variance into genetic, shared environmental, and nonshared environmental sources into the classic sociological model of status achievement allows for a better understanding and measurement of central social stratification concepts, such as opportunity and ascription.
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42

Reichborn-Kjennerud, Ted, and Kenneth S. Kendler. Genetics of Personality Disorders. Edited by Christian Schmahl, K. Luan Phan, Robert O. Friedel, and Larry J. Siever. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199362318.003.0003.

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This chapter reviews the evidence for genetic contributions to the etiology of personality disorders (PDs) as defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM; 5th ed.). This approach and some of the controversial issues associated with its development are briefly described in the first section. The second section evaluates the evidence for genetic influence on DSM PDs from family and twin studies using quantitative genetic methods. Studies that move beyond individual PDs are also reviewed, together with studies on the extent to which common genetic factors influence PDs and normal personality traits and PDs and pathological personality trait domains. Stability of genetic influences on PDs over time are also examined. Molecular genetic studies are reviewed in the third section. The fourth section deals with gene environment interplay, and the final section discusses future directions in the exploration of genetic influences on PDs.
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43

Walsh, Bruce, and Michael Lynch. The Population Genetics of Selection. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0005.

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This chapter examines models of one- and two-locus selection in the absence of drift and mutation. Expressions for the per-generation rate of allele-frequency change and the expected time for a specified amount of change are developed for single-locus models, and their equilibrium structure is examined for those settings where selection retains more than one allele. The presence of selection-generated linkage disequilibrium greatly complicates the extension of single-locus results to two loci, and the chapter examines some of the resulting complications. Finally, it examines the nature of selection on a locus that underlies a trait under selection, and then uses this to develop the breeder's equation for the single-generation response in a trait under selection. One important result is that the loci for a trait under stabilizing selection experience fitness underdominance, and thus trait selection removes, rather than retains, genetic variation.
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44

Walsh, Bruce, and Michael Lynch. Short-term Changes in the Variance: 2. Changes in the Environmental Variance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0017.

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While classical quantitative genetics usually assumes that all genotypes have the same environmental variance (the assumption of homoscedasticity), in reality, genotypes can show heteroscedasticity in the environmental variance. When such variation is heritable (i.e., has an additive variance in an outbred population), then the environmental variance can change under selection. This can either be due to an indirect response (such as during directional selection on a trait), or through direct selection to increase the homogeneity of a trait (such as for increased uniformity during harvesting). This chapter reviews the existing data on the heritability of the environmental variance and examines several different genetic models for predicting its response.
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45

Webb, David M. Genetic mapping of Cuphea lanceolata: Molecular-marker linkage to quantitative-trait loci affecting seed capric acid, seed oil, and embryo development. 1990.

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46

Walsh, Bruce, and Michael Lynch. Long-term Response: 1. Deterministic Aspects. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0025.

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In a large population in the absence of new mutation, selection is expected to eventually drive all of the additive-genetic variance in a trait toward zero, resulting in a selection limit. This chapter examines the underlying population-genetics of such a limit, how it is estimated, and reviews the actual nature of limits observed in artificial selection experiments. It also examines the conditions under which a major gene is more important than polygenic response.
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47

C, Rao D., and Province Michael Arthur, eds. Genetic dissection of complex traits. San Diego: Academic Press, 2001.

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48

C, Rao D., and Gu C. Charles, eds. Genetic dissection of complex traits. 2nd ed. London: Academic Press, 2008.

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49

Levinson, Douglas F., and Walter E. Nichols. Genetics of Depression. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0024.

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Major depressive disorder (MDD) is a common and heterogeneous complex trait. Twin heritability is 35%–40%, perhaps higher in severe/recurrent cases. Adverse life events (particularly during childhood) increase risk. Current evidence suggests some overlap in genetic factors among MDD, bipolar disorder, and schizophrenia. Large genome-wide association studies (GWAS) are now proving successful. Polygenic effects of common SNPs are substantial. Findings implicate genes with effects on synaptic development and function, including two obesity-associated genes (NEGR1 and OLFM4), but not previous “candidate genes.” It can now be expected that larger GWAS samples will produce additional associations that shed new light on MDD genetics.
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50

Rao, D. C. Genetic Dissection of Complex Traits (Advances in Genetics, Volume 42) (Advances in Genetics). Academic Press, 2000.

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