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1

Bedge, Kiran, and Pratima Salunkhe. "Population Genetics : A Review." International Journal of Scientific Research in Science and Technology 11, no. 2 (April 20, 2024): 746–48. http://dx.doi.org/10.32628/ijsrst24112109.

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Abstract (sommario):
Genetics is the study of genes and genetic variations alongwith the hereditary characteristics of an organism. Genetics is a central pillar of biology. It overlaps with other areas, such as: Agriculture, Medicine, Biotechnology. Genetics involves studying: Gene structure and function Gene variation and changes How genes affect health, appearance, and personality. Population genetics studies genetic variation within and among populations, based on the Hardy-Weinberg law, which remains constant in large populations with random mating and minimal mutation, selection, and migration.
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2

Paaby, Annalise, and Greg Gibson. "Cryptic Genetic Variation in Evolutionary Developmental Genetics." Biology 5, no. 2 (June 13, 2016): 28. http://dx.doi.org/10.3390/biology5020028.

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3

Varvio, Sirkka-Liisa, Ranajit Chakraborty, and Masatoshi Nei. "Genetic variation in subdivided populations and conservation genetics." Heredity 57, no. 2 (October 1986): 189–98. http://dx.doi.org/10.1038/hdy.1986.109.

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4

Miyashita, Naohiko, Cathy C. Laurie-Ahlberg, Alan N. Wilton, and Ted H. Emigh. "QUANTITATIVE ANALYSIS OF X CHROMOSOME EFFECTS ON THE ACTIVITIES OF THE GLUCOSE 6-PHOSPHATE AND 6-PHOSPHOGLUCONATE DEHYDROGENASES OF DROSOPHILA MELANOGASTER." Genetics 113, no. 2 (June 1, 1986): 321–35. http://dx.doi.org/10.1093/genetics/113.2.321.

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Abstract (sommario):
ABSTRACT By combining 20 X chromosomes with five autosomal backgrounds, the relative importance of these factors with respect to the activity variations of G6PD and 6PGD in Drosophila melanogaster were investigated. Analysis of variance revealed that there exist significant X chromosome, autosomal background and genetic interaction effects. The effect of the X chromosome was due mainly to the two allozymic forms of each enzyme, but some within-allozyme effects were also detected. From the estimated variance components, it was concluded that the variation attributed to the autosomal background
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5

Zahn, L. M. "GENETICS: The Variation Within." Science 314, no. 5802 (November 17, 2006): 1050a. http://dx.doi.org/10.1126/science.314.5802.1050a.

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6

Wagner, Günter P. "Evolutionary Genetics: The Nature of Hidden Genetic Variation Unveiled." Current Biology 13, no. 24 (December 2003): R958—R960. http://dx.doi.org/10.1016/j.cub.2003.11.042.

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7

Brown, Patrick O., and Leland Hartwell. "Genomics and human disease—variations on variation." Nature Genetics 18, no. 2 (February 1998): 91–93. http://dx.doi.org/10.1038/ng0298-91.

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8

Barton, N. H. "Pleiotropic models of quantitative variation." Genetics 124, no. 3 (March 1, 1990): 773–82. http://dx.doi.org/10.1093/genetics/124.3.773.

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Abstract (sommario):
Abstract It is widely held that each gene typically affects many characters, and that each character is affected by many genes. Moreover, strong stabilizing selection cannot act on an indefinitely large number of independent traits. This makes it likely that heritable variation in any one trait is maintained as a side effect of polymorphisms which have nothing to do with selection on that trait. This paper examines the idea that variation is maintained as the pleiotropic side effect of either deleterious mutation, or balancing selection. If mutation is responsible, it must produce alleles whic
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9

Reinhardt, Josie A., Bryan Kolaczkowski, Corbin D. Jones, David J. Begun, and Andrew D. Kern. "Parallel Geographic Variation inDrosophila melanogaster." Genetics 197, no. 1 (March 7, 2014): 361–73. http://dx.doi.org/10.1534/genetics.114.161463.

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10

Slater, Garett P., Nicholas M. A. Smith, and Brock A. Harpur. "Prospects in Connecting Genetic Variation to Variation in Fertility in Male Bees." Genes 12, no. 8 (August 16, 2021): 1251. http://dx.doi.org/10.3390/genes12081251.

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Abstract (sommario):
Bees are economically and ecologically important pollinating species. Managed and native bee species face increasing pressures from human-created stressors such as habitat loss, pesticide use, and introduced pathogens. There has been increasing attention towards how each of these factors impacts fertility, especially sperm production and maintenance in males. Here, we turn our attention towards another important factor impacting phenotypic variation: genetics. Using honey bees as a model, we explore the current understanding of how genetic variation within and between populations contributes t
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11

Molenaar, Peter C. M. "Estimating the actual subject-specific genetic correlations in behavior genetics." Behavioral and Brain Sciences 35, no. 5 (October 2012): 373–74. http://dx.doi.org/10.1017/s0140525x12001069.

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Abstract (sommario):
AbstractGeneralization of the standard behavior longitudinal genetic factor model for the analysis of interindividual phenotypic variation to a genetic state space model for the analysis of intraindividual variation enables the possibility to estimate subject-specific heritabilities.
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12

Zahn, Laura L. "How genetics affect phenotypic variation." Science 347, no. 6222 (February 5, 2015): 623.17–625. http://dx.doi.org/10.1126/science.347.6222.623-q.

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13

Borst, Piet. "Molecular genetics of antigenic variation." Immunology Today 12, no. 3 (January 1991): A29—A33. http://dx.doi.org/10.1016/s0167-5699(05)80009-x.

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14

Borst, Piet. "Molecular genetics of antigenic variation." Parasitology Today 7, no. 3 (March 1991): 29–33. http://dx.doi.org/10.1016/0169-4758(91)90026-k.

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15

Vihinen, Mauno. "Individual Genetic Heterogeneity." Genes 13, no. 9 (September 10, 2022): 1626. http://dx.doi.org/10.3390/genes13091626.

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Abstract (sommario):
Genetic variation has been widely covered in literature, however, not from the perspective of an individual in any species. Here, a synthesis of genetic concepts and variations relevant for individual genetic constitution is provided. All the different levels of genetic information and variation are covered, ranging from whether an organism is unmixed or hybrid, has variations in genome, chromosomes, and more locally in DNA regions, to epigenetic variants or alterations in selfish genetic elements. Genetic constitution and heterogeneity of microbiota are highly relevant for health and wellbein
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16

Hill, William G. "Sewall Wright and quantitative genetics." Genome 31, no. 1 (January 1, 1989): 190–95. http://dx.doi.org/10.1139/g89-033.

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Abstract (sommario):
Some aspects of Wright's great contribution to quantitative genetics and animal breeding are reviewed in relation to current research and practice. Particular aspects discussed are as follows: the utility of his definition of inbreeding coefficient in terms of the correlation of uniting gametes; the maintenance of genetic variation in the optimum model; the inter-relations between past and present animal-breeding practice and the shifting-balance theory of evolution.Key words: quantitative genetics, inbreeding coefficient, genetic variation, evolution.
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17

Sankar, P. "GENETICS: Enhanced: Toward a New Vocabulary of Human Genetic Variation." Science 298, no. 5597 (November 15, 2002): 1337–38. http://dx.doi.org/10.1126/science.1074447.

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18

Bost, Bruno, Christine Dillmann, and Dominique de Vienne. "Fluxes and Metabolic Pools as Model Traits for Quantitative Genetics. I. The L-Shaped Distribution of Gene Effects." Genetics 153, no. 4 (December 1, 1999): 2001–12. http://dx.doi.org/10.1093/genetics/153.4.2001.

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Abstract (sommario):
Abstract The fluxes through metabolic pathways can be considered as model quantitative traits, whose QTL are the polymorphic loci controlling the activity or quantity of the enzymes. Relying on metabolic control theory, we investigated the relationships between the variations of enzyme activity along metabolic pathways and the variations of the flux in a population with biallelic QTL. Two kinds of variations were taken into account, the variation of the average enzyme activity across the loci, and the variation of the activity of each enzyme of the pathway among the individuals of the populati
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19

Zeng, Z. B., and C. C. Cockerham. "Mutation models and quantitative genetic variation." Genetics 133, no. 3 (March 1, 1993): 729–36. http://dx.doi.org/10.1093/genetics/133.3.729.

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Abstract (sommario):
Abstract Analyses of evolution and maintenance of quantitative genetic variation depend on the mutation models assumed. Currently two polygenic mutation models have been used in theoretical analyses. One is the random walk mutation model and the other is the house-of-cards mutation model. Although in the short term the two models give similar results for the evolution of neutral genetic variation within and between populations, the predictions of the changes of the variation are qualitatively different in the long term. In this paper a more general mutation model, called the regression mutatio
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20

Toro, M. A., A. Fernández, L. A. García-Cortés, J. Rodrigáñez, and L. Silió. "Sex Ratio Variation in Iberian Pigs." Genetics 173, no. 2 (April 2, 2006): 911–17. http://dx.doi.org/10.1534/genetics.106.055939.

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21

Nagylaki, T. "Geographical variation in a quantitative character." Genetics 136, no. 1 (January 1, 1994): 361–81. http://dx.doi.org/10.1093/genetics/136.1.361.

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Abstract (sommario):
Abstract A model for the evolution of the local averages of a quantitative character under migration, selection, and random genetic drift in a subdivided population is formulated and investigated. Generations are discrete and nonoverlapping; the monoecious, diploid population mates at random in each deme. All three evolutionary forces are weak, but the migration pattern and the local population numbers are otherwise arbitrary. The character is determined by purely additive gene action and a stochastically independent environment; its distribution is Gaussian with a constant variance; and it is
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22

Swain-Lenz, Devjanee, Igor Nikolskiy, Jiye Cheng, Priya Sudarsanam, Darcy Nayler, Max V. Staller, and Barak A. Cohen. "Causal Genetic Variation Underlying Metabolome Differences." Genetics 206, no. 4 (June 26, 2017): 2199–206. http://dx.doi.org/10.1534/genetics.117.203752.

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23

Roth, E. J., B. L. Frazier, N. R. Apuya, and K. G. Lark. "Genetic variation in an inbred plant: variation in tissue cultures of soybean [Glycine max (L.) Merrill]." Genetics 121, no. 2 (February 1, 1989): 359–68. http://dx.doi.org/10.1093/genetics/121.2.359.

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Abstract (sommario):
Abstract Although soybean [Glycine max (L.) Merrill] grows as an inbreeding, generally homozygous, plant, the germplasm of the species contains large amounts of genetic variation. Analysis of soybean DNA has indicated that variation of RFLP (restriction fragment length polymorphism) markers within the species usually entails only two alleles at any one locus and that mixtures of such dimorphic loci account for virtually all of the restriction fragment variation seen in soybean (G. max), and in its ancestors, G. soja and G. gracilis. We report here that tissue cultures prepared from root tissue
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24

Riddle, Russel A., Peter S. Dawson, and Dave F. Zirkle. "AN EXPERIMENTAL TEST OF THE RELATIONSHIP BETWEEN GENETIC VARIATION AND ENVIRONMENTAL VARIATION IN TRIBOLIUM FLOUR BEETLES." Genetics 113, no. 2 (June 1, 1986): 391–404. http://dx.doi.org/10.1093/genetics/113.2.391.

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Abstract (sommario):
ABSTRACT The hypothesis that a component of genetic variation for polygenic fitness traits is maintained by environmental heterogeneity was tested using an experimental system involving two species of flour beetles, Tribolium castaneum and T. confusum. Replicated populations of each species from a number of environmental treatments were analyzed for various fitness components following almost 60 generations of natural selection. Environmental differences consisted of flours of cereals commonly invaded by natural populations of these insects.—Tests for adaptation to environments were based on e
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25

Schoenebeck, Jeffrey J., and Elaine A. Ostrander. "The Genetics of Canine Skull Shape Variation." Genetics 193, no. 2 (February 2013): 317–25. http://dx.doi.org/10.1534/genetics.112.145284.

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26

Innan, Hideki, Fumio Tajima, Ryohei Terauchi, and Naohiko T. Miyashita. "Intragenic Recombination in the Adh Locws of the Wild Plant Arabidopsis thaliana." Genetics 143, no. 4 (August 1, 1996): 1761–70. http://dx.doi.org/10.1093/genetics/143.4.1761.

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Abstract (sommario):
Abstract Nucleotide variation in the Adh region of the wild plant Arabidopsis thaliana was analyzed in 17 ecotypes sampled worldwide to investigate DNA polymorphism in natural plant populations. The investigated 2.4kb Adh region was divided into four blocks by intragenic recombinations between two parental sequence types that diverged 6.3 million years (Myr) ago, if the nucleotide mutation rate μ = 10−9 is assumed. Within each block, dimorphism of segregating variations was observed with intermediate frequencies, which caused a substantial amount of nucleotide variation in A. thaliana at the s
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27

Gooding, R. H. "Genetic variation in arthropod vectors of disease-causing organisms: obstacles and opportunities." Clinical Microbiology Reviews 9, no. 3 (July 1996): 301–20. http://dx.doi.org/10.1128/cmr.9.3.301.

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Abstract (sommario):
An overview of the genetic variation in arthropods that transmit pathogens to vertebrates is presented, emphasizing the genetics of vector-pathogen relationships and the biochemical genetics of vectors. Vector-pathogen interactions are reviewed briefly as a prelude to a discussion of the genetics of susceptibility and refractoriness in vectors. Susceptibility to pathogens is controlled by maternally inherited factors, sex-linked dominant alleles, and dominant and recessive autosomal genes. There is widespread interpopulation (including intercolony) and temporal variation in susceptibility to p
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28

Österberg, Marita Kruskopf, Oksana Shavorskaya, Martin Lascoux, and Ulf Lagercrantz. "Naturally Occurring Indel Variation in the Brassica nigra COL1 Gene Is Associated With Variation in Flowering Time." Genetics 161, no. 1 (May 1, 2002): 299–306. http://dx.doi.org/10.1093/genetics/161.1.299.

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Abstract (sommario):
Abstract Previous QTL mapping identified a Brassica nigra homolog to Arabidopsis thaliana CO as a candidate gene affecting flowering time in B. nigra. Transformation of an A. thaliana co mutant with two different alleles of the B. nigra CO (Bni COa) homolog, one from an early-flowering B. nigra plant and one from a late one, did not show any differential effect of the two alleles on flowering time. The DNA sequence of the coding region of the two alleles was also identical, showing that nucleotide variation influencing flowering time must reside outside the coding region of Bni COa. In contras
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29

Saïdou, Abdoul-Aziz, Cédric Mariac, Vivianne Luong, Jean-Louis Pham, Gilles Bezançon, and Yves Vigouroux. "Association Studies Identify Natural Variation at PHYC Linked to Flowering Time and Morphological Variation in Pearl Millet." Genetics 182, no. 3 (May 11, 2009): 899–910. http://dx.doi.org/10.1534/genetics.109.102756.

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30

Ellsworth, Katarzyna A., Irene Moon, Bruce W. Eckloff, Brooke L. Fridley, Gregory D. Jenkins, Anthony Batzler, Joanna M. Biernacka, et al. "FKBP5 genetic variation." Pharmacogenetics and Genomics 23, no. 3 (March 2013): 156–66. http://dx.doi.org/10.1097/fpc.0b013e32835dc133.

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31

Melo, Diogo, Gabriel Marroig, and Jason B. Wolf. "Genomic Perspective on Multivariate Variation, Pleiotropy, and Evolution." Journal of Heredity 110, no. 4 (April 15, 2019): 479–93. http://dx.doi.org/10.1093/jhered/esz011.

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Abstract (sommario):
AbstractMultivariate quantitative genetics provides a powerful framework for understanding patterns and processes of phenotypic evolution. Quantitative genetics parameters, like trait heritability or the G-matrix for sets of traits, can be used to predict evolutionary response or to understand the evolutionary history of a population. These population-level approaches have proven to be extremely successful, but the underlying genetics of multivariate variation and evolutionary change typically remain a black box. Establishing a deeper empirical understanding of how individual genetic effects l
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32

Parker, Katherine, A. Mesut Erzurumluoglu, and Santiago Rodriguez. "The Y Chromosome: A Complex Locus for Genetic Analyses of Complex Human Traits." Genes 11, no. 11 (October 29, 2020): 1273. http://dx.doi.org/10.3390/genes11111273.

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The Human Y chromosome (ChrY) has been demonstrated to be a powerful tool for phylogenetics, population genetics, genetic genealogy and forensics. However, the importance of ChrY genetic variation in relation to human complex traits is less clear. In this review, we summarise existing evidence about the inherent complexities of ChrY variation and their use in association studies of human complex traits. We present and discuss the specific particularities of ChrY genetic variation, including Y chromosomal haplogroups, that need to be considered in the design and interpretation of genetic epidem
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33

Charlesworth, Deborah, Nicholas H. Barton, and Brian Charlesworth. "The sources of adaptive variation." Proceedings of the Royal Society B: Biological Sciences 284, no. 1855 (May 31, 2017): 20162864. http://dx.doi.org/10.1098/rspb.2016.2864.

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Abstract (sommario):
The role of natural selection in the evolution of adaptive phenotypes has undergone constant probing by evolutionary biologists, employing both theoretical and empirical approaches. As Darwin noted, natural selection can act together with other processes, including random changes in the frequencies of phenotypic differences that are not under strong selection, and changes in the environment, which may reflect evolutionary changes in the organisms themselves. As understanding of genetics developed after 1900, the new genetic discoveries were incorporated into evolutionary biology. The resulting
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34

Ballad, J. William O., Joy Hatzidakis, Timothy L. Karr, and Martin Kreitman. "Reduced Variation in Drosophila simulans Mitochondrial DNA." Genetics 144, no. 4 (December 1, 1996): 1519–28. http://dx.doi.org/10.1093/genetics/144.4.1519.

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We investigated the evolutionary dynamics of infection of a Drosophila simulans population by a maternally inherited insect bacterial parasite, Wolbachia, by analyzing nucleotide variability in three regions of the mitochondrial genome in four infected and 35 uninfected lines. Mitochondrial variability is significantly reduced compared to a noncoding region of a nuclear-encoded gene in both uninfected and pooled samples of flies, indicating a sweep of genetic variation. The selective sweep of mitochondrial DNA may have been generated by the fixation of an advantageous mitochondrial gene mutati
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35

Xu, Hongyan, Ranajit Chakraborty, and Yun-Xin Fu. "Mutation Rate Variation at Human Dinucleotide Microsatellites." Genetics 170, no. 1 (February 16, 2005): 305–12. http://dx.doi.org/10.1534/genetics.104.036855.

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36

Greenspan, G., and D. Geiger. "Modeling Haplotype Block Variation Using Markov Chains." Genetics 172, no. 4 (December 15, 2005): 2583–99. http://dx.doi.org/10.1534/genetics.105.042978.

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37

Kuittinen, Helmi, and Montserrat Aguadé. "Nucleotide Variation at theCHALCONE ISOMERASELocus inArabidopsis thaliana." Genetics 155, no. 2 (June 1, 2000): 863–72. http://dx.doi.org/10.1093/genetics/155.2.863.

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Abstract (sommario):
AbstractAn ~1.9-kb region encompassing the CHI gene, which encodes chalcone isomerase, was sequenced in 24 worldwide ecotypes of Arabidopsis thaliana (L.) Heynh. and in 1 ecotype of A. lyrata ssp. petraea. There was no evidence for dimorphism at the CHI region. A minimum of three recombination events was inferred in the history of the sampled ecotypes of the highly selfing A. thaliana. The estimated nucleotide diversity (θTOTAL = 0.004, θSIL = 0.005) was on the lower part of the range of the corresponding estimates for other gene regions. The skewness of the frequency spectrum toward an excess
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Huddleston, John, and Evan E. Eichler. "An Incomplete Understanding of Human Genetic Variation." Genetics 202, no. 4 (April 2016): 1251–54. http://dx.doi.org/10.1534/genetics.115.180539.

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Sundström, Hannah, Matthew T. Webster, and Hans Ellegren. "Reduced Variation on the Chicken Z Chromosome." Genetics 167, no. 1 (May 2004): 377–85. http://dx.doi.org/10.1534/genetics.167.1.377.

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Salcedo, Tovah, Armando Geraldes, and Michael W. Nachman. "Nucleotide Variation in Wild and Inbred Mice." Genetics 177, no. 4 (December 2007): 2277–91. http://dx.doi.org/10.1534/genetics.107.079988.

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41

Langley, Charles H., Kristian Stevens, Charis Cardeno, Yuh Chwen G. Lee, Daniel R. Schrider, John E. Pool, Sasha A. Langley, et al. "Genomic Variation in Natural Populations ofDrosophila melanogaster." Genetics 192, no. 2 (June 5, 2012): 533–98. http://dx.doi.org/10.1534/genetics.112.142018.

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Keightley, Peter D., and William G. Hill. "Directional Selection and Variation in Finite Populations." Genetics 117, no. 3 (November 1, 1987): 573–82. http://dx.doi.org/10.1093/genetics/117.3.573.

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Abstract (sommario):
ABSTRACT Predictions are made of the equilibrium genetic variances and responses in a metric trait under the joint effects of directional selection, mutation and linkage in a finite population. The "infinitesimal model" is analyzed as the limiting case of many mutants of very small effect, otherwise Monte Carlo simulation is used. If the effects of mutant genes on the trait are symmetrically distributed and they are unlinked, the variance of mutant effects is not an important parameter. If the distribution is skewed, unless effects or the population size is small, the proportion of mutants tha
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43

Hill, William G. "Understanding and using quantitative genetic variation." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1537 (January 12, 2010): 73–85. http://dx.doi.org/10.1098/rstb.2009.0203.

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Abstract (sommario):
Quantitative genetics, or the genetics of complex traits, is the study of those characters which are not affected by the action of just a few major genes. Its basis is in statistical models and methodology, albeit based on many strong assumptions. While these are formally unrealistic, methods work. Analyses using dense molecular markers are greatly increasing information about the architecture of these traits, but while some genes of large effect are found, even many dozens of genes do not explain all the variation. Hence, new methods of prediction of merit in breeding programmes are again bas
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Amini, Dara Suci, and Afifatul Achyar. "Analysis of Genetic Variation of MatK Gene Sequences in Ammothamnus lehmannii NCBI Popset 2440747918 Using In Silico RFLP." Tropical Genetics 3, no. 2 (November 29, 2023): 53–59. http://dx.doi.org/10.24036/tg.v3i2.49.

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Abstract (sommario):
Genetic diversity or genetic variation is variation that occurs in an organism due to differences in the sequence of nucleotide bases (adenine, thymine, guanine and cytosine) that form DNA in cells. Variation genetics can be studied in silico using available gene sequences in the NCBI genbank database. This study used the MatK (Maturase-K) gene sequence with the identity number Popset 2440747918 which was downloaded in fasta format from NCBI . Then screening of restriction enzyme candidates was carried out to determine the restriction enzymes prior to in silico RFLP. The restriction enzyme sel
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45

Biros, Erik, Mirko Karan, and Jonathan Golledge. "Genetic Variation and Atherosclerosis." Current Genomics 9, no. 1 (March 1, 2008): 29–42. http://dx.doi.org/10.2174/138920208783884856.

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46

Ryan, Stephen G. "Human Genetic Variation." Pharmacogenomics 3, no. 1 (January 2002): 9–11. http://dx.doi.org/10.1517/14622416.3.1.9.

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47

Kemper, Kathryn. "59 Insights into Complex Traits from Human Genetics." Journal of Animal Science 99, Supplement_3 (October 8, 2021): 30–31. http://dx.doi.org/10.1093/jas/skab235.052.

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Abstract (sommario):
Abstract Genomic selection has been implemented successfully in many livestock industries for genetic improvement. However, genomic selection provides limited insight into the genetic mechanisms underlying variation in complex traits. In contrast, human genetics has a focus on understanding genetic architecture and the origins of quantitative trait variation. This presentation will discuss a number of examples from human genetics which can inform our understanding of the nature of variation in complex traits. So-called ‘monogenic’ conditions, for example, are proving to have more complex genet
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48

Karczewski, Konrad J., and Alicia R. Martin. "Analytic and Translational Genetics." Annual Review of Biomedical Data Science 3, no. 1 (July 20, 2020): 217–41. http://dx.doi.org/10.1146/annurev-biodatasci-072018-021148.

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Understanding the influence of genetics on human disease is among the primary goals for biology and medicine. To this end, the direct study of natural human genetic variation has provided valuable insights into human physiology and disease as well as into the origins and migrations of humans. In this review, we discuss the foundations of population genetics, which provide a crucial context to the study of human genes and traits. In particular, genome-wide association studies and similar methods have revealed thousands of genetic loci associated with diseases and traits, providing invaluable in
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49

Eichten, Steven R., Akanksha Srivastava, Adam J. Reddiex, Diep R. Ganguly, Alison Heussler, Jared C. Streich, Pip B. Wilson, and Justin O. Borevitz. "Extending the Genotype in Brachypodium by Including DNA Methylation Reveals a Joint Contribution with Genetics on Adaptive Traits." G3: Genes|Genomes|Genetics 10, no. 5 (March 4, 2020): 1629–37. http://dx.doi.org/10.1534/g3.120.401189.

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Epigenomic changes have been considered a potential missing link underlying phenotypic variation in quantitative traits but is potentially confounded with the underlying DNA sequence variation. Although the concept of epigenetic inheritance has been discussed in depth, there have been few studies attempting to directly dissect the amount of epigenomic variation within inbred natural populations while also accounting for genetic diversity. By using known genetic relationships between Brachypodium lines, multiple sets of nearly identical accession families were selected for phenotypic studies an
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50

Laurie, C. C., J. T. Bridgham, and M. Choudhary. "Associations between DNA sequence variation and variation in expression of the Adh gene in natural populations of Drosophila melanogaster." Genetics 129, no. 2 (October 1, 1991): 489–99. http://dx.doi.org/10.1093/genetics/129.2.489.

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Abstract A large part of the genetic variation in alcohol dehydrogenase (ADH) activity level in natural populations of Drosophila melanogaster is associated with segregation of an amino acid replacement polymorphism at nucleotide 1490, which generates a difference in electrophoretic mobility. Part of the allozymic difference in activity level is due to a catalytic efficiency difference, which is also caused by the amino acid replacement, and part is due to a difference in the concentration of ADH protein. A previous site-directed in vitro mutagenesis experiment clearly demonstrated that the am
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