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Journal articles on the topic 'Genetic analyses'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Škorput, Dubravko, Kristina Gvozdanović, Vedran Klišanić, Sven Menčik, Danijel Karolyi, Polonca Margeta, Goran Kušec, Ivona Djurkin Kušec, Zoran Luković, and Krešimir Salajpal. "Genetic diversity in Banija spotted pig: pedigree and microsatellite analyses." Journal of Central European Agriculture 19, no. 4 (2018): 871–76. http://dx.doi.org/10.5513/jcea01/19.4.2335.

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2

Eley, Thalia C., and Robert Plomin. "Genetic analyses of emotionality." Current Opinion in Neurobiology 7, no. 2 (April 1997): 279–84. http://dx.doi.org/10.1016/s0959-4388(97)80017-7.

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3

Pato, Carlos N., Kim M. Schindler, and Michele T. Pato. "Genetic analyses of schizophrenia." Current Psychiatry Reports 2, no. 2 (March 2000): 137–42. http://dx.doi.org/10.1007/s11920-000-0058-7.

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4

Hakonarson, Hakon, and Eva Halapi. "Genetic Analyses in Asthma." American Journal of PharmacoGenomics 2, no. 3 (2002): 155–66. http://dx.doi.org/10.2165/00129785-200202030-00001.

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5

Grünwald, N. J., S. E. Everhart, B. J. Knaus, and Z. N. Kamvar. "Best Practices for Population Genetic Analyses." Phytopathology® 107, no. 9 (September 2017): 1000–1010. http://dx.doi.org/10.1094/phyto-12-16-0425-rvw.

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Population genetic analysis is a powerful tool to understand how pathogens emerge and adapt. However, determining the genetic structure of populations requires complex knowledge on a range of subtle skills that are often not explicitly stated in book chapters or review articles on population genetics. What is a good sampling strategy? How many isolates should I sample? How do I include positive and negative controls in my molecular assays? What marker system should I use? This review will attempt to address many of these practical questions that are often not readily answered from reading books or reviews on the topic, but emerge from discussions with colleagues and from practical experience. A further complication for microbial or pathogen populations is the frequent observation of clonality or partial clonality. Clonality invariably makes analyses of population data difficult because many assumptions underlying the theory from which analysis methods were derived are often violated. This review provides practical guidance on how to navigate through the complex web of data analyses of pathogens that may violate typical population genetics assumptions. We also provide resources and examples for analysis in the R programming environment.

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Zhao, J., Y. Xiang, X. R. Wan, F. Z. Feng, Q. C. Cui, and X. Y. Yang. "Molecular Genetic Analyses of Choriocarcinoma." Placenta 30, no. 9 (September 2009): 816–20. http://dx.doi.org/10.1016/j.placenta.2009.06.011.

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7

Langaee, Taimour, and Mostafa Ronaghi. "Genetic variation analyses by Pyrosequencing." Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis 573, no. 1-2 (June 2005): 96–102. http://dx.doi.org/10.1016/j.mrfmmm.2004.07.023.

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8

Wickstrom, S. A., K. Radovanac, and R. Fassler. "Genetic Analyses of Integrin Signaling." Cold Spring Harbor Perspectives in Biology 3, no. 2 (December 30, 2010): a005116. http://dx.doi.org/10.1101/cshperspect.a005116.

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9

Lauritzen, Steffen L., and Nuala A. Sheehan. "Graphical Models for Genetic Analyses." Statistical Science 18, no. 4 (November 2003): 489–514. http://dx.doi.org/10.1214/ss/1081443232.

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Pääbo, Svante, Hendrik Poinar, David Serre, Viviane Jaenicke-Després, Juliane Hebler, Nadin Rohland, Melanie Kuch, Johannes Krause, Linda Vigilant, and Michael Hofreiter. "Genetic Analyses from Ancient DNA." Annual Review of Genetics 38, no. 1 (December 2004): 645–79. http://dx.doi.org/10.1146/annurev.genet.37.110801.143214.

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11

Straaten, Tahar, and Ron van Schaik. "Genetic Techniques for Pharmacogenetic Analyses." Current Pharmaceutical Design 16, no. 2 (January 1, 2010): 231–37. http://dx.doi.org/10.2174/138161210790112755.

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12

Yagi, Takeshi, Yumiko Saga, Yasuhide Furuta, Yoji Ikawa, Tomoyuki Tokunaga, Tomoyuki Tomooka, and Shinichi Aizawa. "Genetic analyses of mammalian neurogenesis." Neuroscience Research Supplements 17 (January 1992): 43. http://dx.doi.org/10.1016/0921-8696(92)90695-w.

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13

Halary, S., J. W. Leigh, B. Cheaib, P. Lopez, and E. Bapteste. "Network analyses structure genetic diversity in independent genetic worlds." Proceedings of the National Academy of Sciences 107, no. 1 (December 10, 2009): 127–32. http://dx.doi.org/10.1073/pnas.0908978107.

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14

Langridge, P., E. S. Lagudah, T. A. Holton, R. Appels, P. J. Sharp, and K. J. Chalmers. "Trends in genetic and genome analyses in wheat: a review." Australian Journal of Agricultural Research 52, no. 12 (2001): 1043. http://dx.doi.org/10.1071/ar01082.

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The size and structure of the wheat genome makes it one of the most complex crop species for genetic analysis. The development of molecular techniques for genetic analysis, in particular the use of molecular markers to monitor DNA sequence variation between varieties, landraces, and wild relatives of wheat and related grass species, has led to a dramatic expansion in our understanding of wheat genetics and the structure and behaviour of the wheat genome. This review provides an overview of these developments, examines some of the special issues that have arisen in applying molecular techniques to genetic studies in wheat, and looks at the applications of these technologies to wheat breeding and to improving our understanding of the genetic basis of traits such as disease resistance and processing quality. The review also attempts to foreshadow some of the key molecular issues and developments that may occur in wheat genetics and breeding over the next few years.

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15

MENZEL, S. "Genetic and Molecular Analyses of Complex Metabolic Disorders: Genetic Linkage." Annals of the New York Academy of Sciences 967, no. 1 (January 24, 2006): 249–57. http://dx.doi.org/10.1111/j.1749-6632.2002.tb04280.x.

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16

Zukic, Branka, Marina Andjelkovic, Vladimir Gasic, Jasmina Grubin, Sonja Pavlovic, and Dragoslava Djeric. "Genetic basis of otosclerosis." Srpski arhiv za celokupno lekarstvo 148, no. 9-10 (2020): 621–25. http://dx.doi.org/10.2298/sarh200306026z.

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Introduction. Otosclerosis is a disorder of the bone labyrinth and stapes resulting in conductive hearing loss. The genetic basis of otosclerosis still remains unknown. We aimed at reporting a comprehensive review of up-to-date knowledge on genetic basis of otosclerosis. Methods. Narrative literature review was undertaken to summarize the data about genetics of otosclerosis. Results. Genetics of otosclerosis has not been studied extensively and the literature on this topic is scarce. However, knowledge of genetic basis of otosclerosis is recently increasing. We have presented an overview of the knowledge of association of genetic markers with otosclerosis, gained from linkage analyses, candidate-gene studies, and modern high-throughput genomic studies. Conclusion. Due to its complex pathophysiology, otosclerosis is not a disease whose genetic base will be easily understood. Multiple omics analysis and bioinformatics will lead to elucidation of genetic basis of otosclerosis.

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17

SIEGEL, P. B. "Behavior-Genetic Analyses and Poultry Husbandry." Poultry Science 72, no. 1 (January 1993): 1–6. http://dx.doi.org/10.3382/ps.0720001.

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18

Padi, Francis Kwame. "Genetic Analyses of Pigmentation in Cowpea." Pakistan Journal of Biological Sciences 6, no. 19 (September 15, 2003): 1655–59. http://dx.doi.org/10.3923/pjbs.2003.1655.1659.

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19

SHIRAKAWA, TARO. "Present state of atopy genetic analyses." Nihon Naika Gakkai Zasshi 87, no. 2 (1998): 342–49. http://dx.doi.org/10.2169/naika.87.342.

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20

Beerli, Peter. "Statistical analyses of population genetic data." Trends in Ecology & Evolution 12, no. 12 (December 1997): 488. http://dx.doi.org/10.1016/s0169-5347(97)84405-9.

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21

Malmberg, Russell L., Mark B. Watson, Gregory L. Galloway, and Wei Yu. "Molecular Genetic Analyses of Plant Polyamines." Critical Reviews in Plant Sciences 17, no. 2 (March 1998): 199–224. http://dx.doi.org/10.1080/07352689891304212.

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22

Uhl, G. R., L. H. Gold, and N. Risch. "Genetic analyses of complex behavioral disorders." Proceedings of the National Academy of Sciences 94, no. 7 (April 1, 1997): 2785–86. http://dx.doi.org/10.1073/pnas.94.7.2785.

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23

Pratt, Leslie A., and Roberto Kolter. "Genetic analyses of bacterial biofilm formation." Current Opinion in Microbiology 2, no. 6 (December 1999): 598–603. http://dx.doi.org/10.1016/s1369-5274(99)00028-4.

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24

Kennedy, Linda M., Shachar Eylam, Jason E. Poskanzer, and Anna-Riika Saikku. "Genetic analyses of sweet taste transduction." Food Chemistry 60, no. 3 (November 1997): 311–21. http://dx.doi.org/10.1016/s0308-8146(96)00337-8.

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25

Risinger, Fred O. "Genetic Analyses of Ethanol-Induced Hyperglycemia." Alcoholism: Clinical and Experimental Research 27, no. 5 (May 2003): 756–64. http://dx.doi.org/10.1097/01.alc.0000065697.73554.df.

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26

Wijeratne, Asela J., and Hong Ma. "Genetic Analyses of Meiotic Recombination inArabidopsis." Journal of Integrative Plant Biology 49, no. 8 (August 2007): 1199–207. http://dx.doi.org/10.1111/j.1672-9072.2007.00522.x.

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27

Hu, Wei-Shau. "Retroviral recombination review of genetic analyses." Frontiers in Bioscience 8, no. 4 (2003): d143–155. http://dx.doi.org/10.2741/940.

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28

van Asselt, Kristel M., Helen S. Kok, Yvonne T. van der Schouw, Petra H. M. Peeters, Peter L. Pearson, and Diederick E. Grobbee. "Role of Genetic Analyses in Cardiology." Circulation 113, no. 8 (February 28, 2006): 1136–39. http://dx.doi.org/10.1161/circulationaha.105.563197.

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29

Priori, Silvia G., and Carlo Napolitano. "Role of Genetic Analyses in Cardiology." Circulation 113, no. 8 (February 28, 2006): 1130–35. http://dx.doi.org/10.1161/circulationaha.105.563205.

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30

SAULE, S., J. COUTURIER, MH STERN, P. MARIANI, L. DESJARDINS, S. ROMAN-ROMAN, E. BARILLOT, S. PIPERNO-NEUMANN, and C. LAURENT. "Genetic analyses of uveal melanoma metastases." Acta Ophthalmologica 90 (August 6, 2012): 0. http://dx.doi.org/10.1111/j.1755-3768.2012.2872.x.

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31

Holmberg, M., W. F. Fikse, L. Andersson-Eklund, K. Artursson, and A. Lundén. "Genetic analyses of pathogen-specific mastitis." Journal of Animal Breeding and Genetics 129, no. 2 (August 17, 2011): 129–37. http://dx.doi.org/10.1111/j.1439-0388.2011.00945.x.

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32

Arking, Robert. "Genetic analyses of aging processes inDrosophila." Experimental Aging Research 14, no. 3 (September 1988): 125–35. http://dx.doi.org/10.1080/03610738808259737.

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33

Glazebrook, Jane, Jason W. Reed, T. Lynne Reuber, and Graham C. Walker. "Genetic analyses of Rhizobium meliloti exopolysaccharides." International Journal of Biological Macromolecules 12, no. 2 (April 1990): 67–70. http://dx.doi.org/10.1016/0141-8130(90)90055-f.

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34

Noden, Drew M., and Tom R. Van De Water. "Genetic analyses of mammalian ear development." Trends in Neurosciences 15, no. 7 (July 1992): 235–37. http://dx.doi.org/10.1016/0166-2236(92)90056-e.

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35

Lubke, Gitta, and Daniel McArtor. "Multivariate Genetic Analyses in Heterogeneous Populations." Behavior Genetics 44, no. 3 (December 6, 2013): 232–39. http://dx.doi.org/10.1007/s10519-013-9631-9.

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36

SAITOU, NARUYA, KEIICHI OMOTO, CHUANSHU DU, and RUOFU DU. "Population Genetic Study in Hainan Island, China. II. Genetic Affinity Analyses." Anthropological Science 102, no. 2 (1994): 129–47. http://dx.doi.org/10.1537/ase.102.129.

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37

Zhang, Cheng, Lingyan Wang, Qi Liao, Lina Zhang, Leiting Xu, Cheng Chen, Huadan Ye, Xuting Xu, Meng Ye, and Shiwei Duan. "Genetic Associations with Hypertension: Meta-Analyses of Six Candidate Genetic Variants." Genetic Testing and Molecular Biomarkers 17, no. 10 (October 2013): 736–42. http://dx.doi.org/10.1089/gtmb.2013.0080.

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38

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 epidemiological studies involving ChrY.

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39

Bilska, Katarzyna, and Monika Szczecińska. "Comparison of the effectiveness of ISJ and SSR markers and detection of outlier loci in conservation genetics ofPulsatilla patenspopulations." PeerJ 4 (November 2, 2016): e2504. http://dx.doi.org/10.7717/peerj.2504.

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BackgroundResearch into the protection of rare and endangered plant species involves genetic analyses to determine their genetic variation and genetic structure. Various categories of genetic markers are used for this purpose. Microsatellites, also known as simple sequence repeats (SSR), are the most popular category of markers in population genetics research. In most cases, microsatellites account for a large part of the noncoding DNA and exert a neutral effect on the genome. Neutrality is a desirable feature in evaluations of genetic differences between populations, but it does not support analyses of a population’s ability to adapt to a given environment or its evolutionary potential. Despite the numerous advantages of microsatellites, non-neutral markers may supply important information in conservation genetics research. They are used to evaluate adaptation to specific environmental conditions and a population’s adaptive potential. The aim of this study was to compare the level of genetic variation inPulsatilla patenspopulations revealed by neutral SSR markers and putatively adaptive ISJ markers (intron-exon splice junction).MethodsThe experiment was conducted on 14 Polish populations ofP. patensand threeP. patenspopulations from the nearby region of Vitebsk in Belarus. A total of 345 individuals were examined. Analyses were performed with the use of eight SSR primers specific toP. patensand three ISJ primers.ResultsSSR markers revealed a higher level of genetic variation than ISJ markers (He= 0.609,He= 0.145, respectively). An analysis of molecular variance (AMOVA) revealed that, the overall genetic diversity between the analyzed populations defined by parametersFSTand ΦPTfor SSR (20%) and ΦPTfor ISJ (21%) markers was similar. Analysis conducted in theStructureprogram divided analyzed populations into two groups (SSR loci) and three groups (ISJ markers). Mantel test revealed correlations between the geographic distance and genetic diversity of Polish populations ofP. patensfor ISJ markers, but not for SSR markers.ConclusionsThe results of the present study suggest that ISJ markers can complement the analyses based on SSRs. However, neutral and adaptive markers should not be alternatively applied. Neutral microsatellite markers cannot depict the full range of genetic variation in a population because they do not enable to analyze functional variation. Although ISJ markers are less polymorphic, they can contribute to the reliability of analyses based on SSRs.

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40

Villanueva-Mosqueda, Eduardo, and Michael J. Havey. "Genetic Analyses of Seed Yield in Onion." Journal of the American Society for Horticultural Science 126, no. 5 (September 2001): 575–78. http://dx.doi.org/10.21273/jashs.126.5.575.

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Development of two-way onion (Allium cepa L.) hybrids is difficult due to poor seed yields on inbred female parents. Seed yield of onion is affected by inbreeding depression and the seed-production environment. A standard diallel was used to estimate combining abilities for seed yield among seven inbred onion lines. Males and hybrids differed significantly (P < 0.05) for seed yields. Combinations of relatively high-by-high seed-yielding inbred parents were not always the best combinations; combinations of medium-by-medium or medium-by-high seed yielders also produced good F1 seed yielders. For the seven inbred lines, significant correlations (P < 0.05) were observed between mean seed yield per bulb and scape height. Parent-offspring regressions revealed no significant relationship between seed yields of randomly selected, open-pollinated bulbs and their S1 families. Results indicate that relative seed yields of individual bulbs after self-pollination cannot be used to predict seed yields of progeny families. However, the seed yield of inbred lines of onion may reflect the potential seed yield of F1 male-sterile lines.

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41

GOTO, Tatsuhiko, Yuki MATSUMOTO, Akira TANAVE, and Tsuyoshi KOIDE. "Genetic analyses for tame behavior in animals." Journal of Animal Genetics 43, no. 1-2 (2015): 3–11. http://dx.doi.org/10.5924/abgri.43.3.

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42

Eisen, Judith S. "Genetic and molecular analyses of motoneuron development." Current Opinion in Neurobiology 8, no. 6 (December 1998): 697–704. http://dx.doi.org/10.1016/s0959-4388(98)80110-4.

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43

Bhat, S. R., and S. Srinivasan. "Molecular and genetic analyses of transgenic plants:." Plant Science 163, no. 4 (October 2002): 673–81. http://dx.doi.org/10.1016/s0168-9452(02)00152-8.

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44

Vergara, G. V., and S. S. Bughrara. "AFLP Analyses of Genetic Diversity in Bentgrass." Crop Science 43, no. 6 (November 2003): 2162–71. http://dx.doi.org/10.2135/cropsci2003.2162.

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45

Yeung, M. K. "Molecular and Genetic Analyses of Actinomyces SPP." Critical Reviews in Oral Biology & Medicine 10, no. 2 (April 1999): 120–38. http://dx.doi.org/10.1177/10454411990100020101.

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Members of the genus Actinomyces are predominant primary colonizers of the oral cavity and play an important role in initiating plaque development. These bacteria have evolved unique mechanisms that favor colonization and persistence in this micro-environment. The expression of cell-surface fimbriae is correlated with the ability of these bacteria to adhere to specific receptors on the tooth and mucosal surfaces, and to interact with other plaque bacteria. The elaboration of sialidase is thought to enhance fimbriae-mediated adherence by unmasking the fimbrial receptors on mammalian cells. The presence of certain cell-associated or extracellular enzymes, including those involved in sucrose or urea metabolism, may provide the means for these bacteria to thrive under conditions when other growth nutrients are not available. Moreover, these enzyme activities may influence the distribution of other plaque bacteria and promote selection for Actinomyces spp. in certain ecological niches. The recent development of a genetic transfer system for Actinomyces spp. has allowed for studies the results of which demonstrate the existence of multiple genes involved in fimbriae synthesis and function, and facilitated the construction of allelic replacement mutants at each gene locus. Analyses of these mutants have revealed a direct correlation between the synthesis of assembled fimbriae and the observed adherence properties. Further genetic analysis of the various enzyme activities detected from strains of Actinomyces should allow for an assessment of the role of these components in microbial ecology, and their contribution to the overall success of Actinomyces spp. as a primary colonizer and a key player in oral health and disease.

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46

Minnhagen, Susanna, and Sven Janson. "Genetic analyses of Dinophysis spp. support kleptoplastidy." FEMS Microbiology Ecology 57, no. 1 (July 2006): 47–54. http://dx.doi.org/10.1111/j.1574-6941.2006.00096.x.

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47

Fässler, Reinhard, Elisabeth Georges-Labouesse, and Emilio Hirsch. "Genetic analyses of integrin function in mice." Current Opinion in Cell Biology 8, no. 5 (October 1996): 641–46. http://dx.doi.org/10.1016/s0955-0674(96)80105-0.

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48

Kapusta, P., J. Machlowska, A. Bogdali, P. Radkowski, F. Morsink, W. Polkowski, J. Offerhaus, P. Wołkow, R. Maciejewski, and R. Sitarz. "Genetic analyses of early-onset gastric cancer." European Journal of Cancer 61 (July 2016): S31. http://dx.doi.org/10.1016/s0959-8049(16)61098-5.

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49

O'Brien, S. J. "Genetic and Phylogenetic Analyses of Endangered Species." Annual Review of Genetics 28, no. 1 (December 1994): 467–89. http://dx.doi.org/10.1146/annurev.ge.28.120194.002343.

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50

KURAMOTO, Takashi, Mayuko YOKOE, Kayoko YAGASAKI, Tatsuya KAWAGUCHI, Kenta KUMAFUJI, and Tadao SERIKAWA. "Genetic Analyses of Fancy Rat-Derived Mutations." Experimental Animals 59, no. 2 (2010): 147–55. http://dx.doi.org/10.1538/expanim.59.147.

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