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variations</title> <meta name="description" content="Search results for: genetic variations"> <meta name="keywords" content="genetic variations"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="genetic variations"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 3030</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: genetic variations</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3030</span> Assessing Proteomic Variations Due to Genetic Modification of Tomatoes Using Three Complementary Approaches</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hanaa%20A.%20S.%20Oraby">Hanaa A. S. Oraby</a>, <a href="https://publications.waset.org/abstracts/search?q=Amal%20A.%20M.%20Hassan"> Amal A. M. Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20M.%20Sakr"> Mahmoud M. Sakr</a>, <a href="https://publications.waset.org/abstracts/search?q=Atef%20A.%20A.%20Haiba"> Atef A. A. Haiba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Applying the profiling approach for the assessment of proteomic variations due to genetic modification of the Egyptian tomato cultivar "Edkawy", three complementary approaches were used. These methods are amino acids analysis, gel electrophoresis, and Gas chromatography coupled with mass spectrometry (GC/MS). The results of the present study Show evidence of proteomic variations between both modified tomato and its non-modified counterpart. Amino acids concentrations, and the protein patterns separation on the 1D SDS-PAGE were not similar in the case of transformed tomato compared to that of the non-transformed counterpart. These detected differences are most likely derived from the process of transformation. Results also revealed that the efficiency of GC/MS approach to identify a mixture of unknown proteins is limited. GC/MS analysis was only able to identify few number of protein molecules. Therefore, more advanced and specific technologies like MALDI-TOF-MS are recommended to be employed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GMOs" title="GMOs">GMOs</a>, <a href="https://publications.waset.org/abstracts/search?q=unintended%20effects" title=" unintended effects"> unintended effects</a>, <a href="https://publications.waset.org/abstracts/search?q=proteomic%20variations" title=" proteomic variations"> proteomic variations</a>, <a href="https://publications.waset.org/abstracts/search?q=1D%20SDS-PAGE" title=" 1D SDS-PAGE"> 1D SDS-PAGE</a>, <a href="https://publications.waset.org/abstracts/search?q=GC%2FMS" title=" GC/MS "> GC/MS </a> </p> <a href="https://publications.waset.org/abstracts/26200/assessing-proteomic-variations-due-to-genetic-modification-of-tomatoes-using-three-complementary-approaches" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26200.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">454</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3029</span> Analysis of Genetic Variations in Camel Breeds (Camelus dromedarius) </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yasser%20M.%20Saad">Yasser M. Saad</a>, <a href="https://publications.waset.org/abstracts/search?q=Amr%20A.%20El%20Hanafy"> Amr A. El Hanafy</a>, <a href="https://publications.waset.org/abstracts/search?q=Saleh%20A.%20Alkarim"> Saleh A. Alkarim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hussein%20A.%20Almehdar"> Hussein A. Almehdar</a>, <a href="https://publications.waset.org/abstracts/search?q=Elrashdy%20M.%20Redwan"> Elrashdy M. Redwan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Camels are substantial providers of transport, milk, sport, meat, shelter, security and capital in many countries, particularly in Saudi Arabia. Inter simple sequence repeat technique was used to detect the genetic variations among some camel breeds (Majaheim, Safra, Wadah, and Hamara). Actual number of alleles, effective number of alleles, gene diversity, Shannon’s information index and polymorphic bands were calculated for each evaluated camel breed. Neighbor-joining tree that re-constructed for evaluated these camel breeds showed that, Hamara breed is distantly related from the other evaluated camels. In addition, the polymorphic sites, haplotypes and nucleotide diversity were identified for some camelidae <em>cox1</em> gene sequences (obtained from NCBI). The distance value between <em>C. bactrianus</em> and <em>C. dromedarius</em> (0.072) was relatively low. Analysis of genetic diversity is an important way for conserving <em>Camelus dromedarius</em> genetic resources. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camel" title="camel">camel</a>, <a href="https://publications.waset.org/abstracts/search?q=genetics" title=" genetics"> genetics</a>, <a href="https://publications.waset.org/abstracts/search?q=ISSR" title=" ISSR"> ISSR</a>, <a href="https://publications.waset.org/abstracts/search?q=neighbor-joining" title=" neighbor-joining"> neighbor-joining</a> </p> <a href="https://publications.waset.org/abstracts/73254/analysis-of-genetic-variations-in-camel-breeds-camelus-dromedarius" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73254.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">472</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3028</span> Microsatellite-Based Genetic Variations and Relationships among Some Farmed Nile Tilapia Populations in Ghana: Implications for Nile Tilapia Culture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Acheampong%20Addo">Acheampong Addo</a>, <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Odartei%20Armah"> Emmanuel Odartei Armah</a>, <a href="https://publications.waset.org/abstracts/search?q=Seth%20Koranteng%20Agyakwah"> Seth Koranteng Agyakwah</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruby%20Asmah"> Ruby Asmah</a>, <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Tetteh-Doku%20Mensah"> Emmanuel Tetteh-Doku Mensah</a>, <a href="https://publications.waset.org/abstracts/search?q=Rhoda%20Lims%20Diyie"> Rhoda Lims Diyie</a>, <a href="https://publications.waset.org/abstracts/search?q=Sena%20Amewu"> Sena Amewu</a>, <a href="https://publications.waset.org/abstracts/search?q=Catherine%20Ragasa"> Catherine Ragasa</a>, <a href="https://publications.waset.org/abstracts/search?q=Edward%20Kofi%20Abban"> Edward Kofi Abban</a>, <a href="https://publications.waset.org/abstracts/search?q=Mike%20Yaw%20Osei-Atweneboana"> Mike Yaw Osei-Atweneboana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study investigated genetic variation and relationships among populations of Nile tilapia cultured in small-scale fish farms in selected regions of Ghana. A total of 700 samples were collected. All samples were screened with five microsatellite markers and results were analyzed using (Genetic Analysis in Excel), (Molecular and Evolutionary Genetic Analysis software, and Genpop on the web for Heterozygosity and Shannon diversity, (Analysis of Molecular Variance), and (Principal Coordinate Analysis). Fish from the 16 populations (made up of 14 farms and 2 selectively bred populations) clustered into three groups: 7 populations clustered with the GIFT-derived strain, 4 populations clustered with the Akosombo strain, and three populations were in a separate cluster. The clustering pattern indicated groups of different strains of Nile tilapia cultured. Mantel correlation test also showed low genetic variations among the 16 populations hence the need to boost seed quality in order to accelerate aquaculture production in Ghana. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microsatellites" title="microsatellites">microsatellites</a>, <a href="https://publications.waset.org/abstracts/search?q=small-%20scale" title=" small- scale"> small- scale</a>, <a href="https://publications.waset.org/abstracts/search?q=Nile%20tilapia" title=" Nile tilapia"> Nile tilapia</a>, <a href="https://publications.waset.org/abstracts/search?q=akosombo%20strain" title=" akosombo strain"> akosombo strain</a>, <a href="https://publications.waset.org/abstracts/search?q=GIFT%20strain" title=" GIFT strain"> GIFT strain</a> </p> <a href="https://publications.waset.org/abstracts/163597/microsatellite-based-genetic-variations-and-relationships-among-some-farmed-nile-tilapia-populations-in-ghana-implications-for-nile-tilapia-culture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163597.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">167</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3027</span> A Survey of Grammar-Based Genetic Programming and Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matthew%20T.%20Wilson">Matthew T. Wilson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper covers a selection of research utilizing grammar-based genetic programming, and illustrates how context-free grammar can be used to constrain genetic programming. It focuses heavily on grammatical evolution, one of the most popular variants of grammar-based genetic programming, and the way its operators and terminals are specialized and modified from those in genetic programming. A variety of implementations of grammatical evolution for general use are covered, as well as research each focused on using grammatical evolution or grammar-based genetic programming on a single application, or to solve a specific problem, including some of the classically considered genetic programming problems, such as the Santa Fe Trail. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=context-free%20grammar" title="context-free grammar">context-free grammar</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithms" title=" genetic algorithms"> genetic algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20programming" title=" genetic programming"> genetic programming</a>, <a href="https://publications.waset.org/abstracts/search?q=grammatical%20evolution" title=" grammatical evolution"> grammatical evolution</a> </p> <a href="https://publications.waset.org/abstracts/120249/a-survey-of-grammar-based-genetic-programming-and-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120249.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">187</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3026</span> Identification of Biological Pathways Causative for Breast Cancer Using Unsupervised Machine Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karthik%20Mittal">Karthik Mittal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study performs an unsupervised machine learning analysis to find clusters of related SNPs which highlight biological pathways that are important for the biological mechanisms of breast cancer. Studying genetic variations in isolation is illogical because these genetic variations are known to modulate protein production and function; the downstream effects of these modifications on biological outcomes are highly interconnected. After extracting the SNPs and their effect on different types of breast cancer using the MRBase library, two unsupervised machine learning clustering algorithms were implemented on the genetic variants: a k-means clustering algorithm and a hierarchical clustering algorithm; furthermore, principal component analysis was executed to visually represent the data. These algorithms specifically used the SNP’s beta value on the three different types of breast cancer tested in this project (estrogen-receptor positive breast cancer, estrogen-receptor negative breast cancer, and breast cancer in general) to perform this clustering. Two significant genetic pathways validated the clustering produced by this project: the MAPK signaling pathway and the connection between the BRCA2 gene and the ESR1 gene. This study provides the first proof of concept showing the importance of unsupervised machine learning in interpreting GWAS summary statistics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title="breast cancer">breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=computational%20biology" title=" computational biology"> computational biology</a>, <a href="https://publications.waset.org/abstracts/search?q=unsupervised%20machine%20learning" title=" unsupervised machine learning"> unsupervised machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=k-means" title=" k-means"> k-means</a>, <a href="https://publications.waset.org/abstracts/search?q=PCA" title=" PCA"> PCA</a> </p> <a href="https://publications.waset.org/abstracts/148748/identification-of-biological-pathways-causative-for-breast-cancer-using-unsupervised-machine-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148748.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3025</span> High-Risk Gene Variant Profiling Models Ethnic Disparities in Diabetes Vulnerability </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jianhua%20Zhang">Jianhua Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Weiping%20Chen"> Weiping Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Guanjie%20Chen"> Guanjie Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Jason%20Flannick"> Jason Flannick</a>, <a href="https://publications.waset.org/abstracts/search?q=Emma%20Fikse"> Emma Fikse</a>, <a href="https://publications.waset.org/abstracts/search?q=Glenda%20Smerin"> Glenda Smerin</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanqin%20Yang"> Yanqin Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yulong%20Li"> Yulong Li</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20A.%20Hanover"> John A. Hanover</a>, <a href="https://publications.waset.org/abstracts/search?q=William%20F.%20Simonds"> William F. Simonds</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ethnic disparities in many diseases are well recognized and reflect the consequences of genetic, behavior, and environmental factors. However, direct scientific evidence connecting the ethnic genetic variations and the disease disparities has been elusive, which may have led to the ethnic inequalities in large scale genetic studies. Through the genome-wide analysis of data representing 185,934 subjects, including 14,955 from our own studies of the African America Diabetes Mellitus, we discovered sets of genetic variants either unique to or conserved in all ethnicities. We further developed a quantitative gene function-based high-risk variant index (hrVI) of 20,428 genes to establish profiles that strongly correlate with the subjects' self-identified ethnicities. With respect to the ability to detect human essential and pathogenic genes, the hrVI analysis method is both comparable with and complementary to the well-known genetic analysis methods, pLI and VIRlof. Application of the ethnicity-specific hrVI analysis to the type 2 diabetes mellitus (T2DM) national repository, containing 20,791 cases and 24,440 controls, identified 114 candidate T2DM-associated genes, 8.8-fold greater than that of ethnicity-blind analysis. All the genes identified are defined as either pathogenic or likely-pathogenic in ClinVar database, with 33.3% diabetes-associated and 54.4% obesity-associated genes. These results demonstrate the utility of hrVI analysis and provide the first genetic evidence by clustering patterns of how genetic variations among ethnicities may impede the discovery of diabetes and foreseeably other disease-associated genes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diabetes-associated%20genes" title="diabetes-associated genes">diabetes-associated genes</a>, <a href="https://publications.waset.org/abstracts/search?q=ethnic%20health%20disparities" title=" ethnic health disparities"> ethnic health disparities</a>, <a href="https://publications.waset.org/abstracts/search?q=high-risk%20variant%20index" title=" high-risk variant index"> high-risk variant index</a>, <a href="https://publications.waset.org/abstracts/search?q=hrVI" title=" hrVI"> hrVI</a>, <a href="https://publications.waset.org/abstracts/search?q=T2DM" title=" T2DM"> T2DM</a> </p> <a href="https://publications.waset.org/abstracts/131697/high-risk-gene-variant-profiling-models-ethnic-disparities-in-diabetes-vulnerability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131697.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">137</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3024</span> Morpho-Genetic Assessment of Guava (Psidium guajava L.) Genetic Resources in Pakistan </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asim%20Mehmood">Asim Mehmood</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Karim"> Abdul Karim</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20J.%20Jaskani"> Muhammad J. Jaskani</a>, <a href="https://publications.waset.org/abstracts/search?q=Faisal%20S.%20Awan"> Faisal S. Awan</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20W.%20Sajid"> Muhammad W. Sajid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Guava (Psidium guajava L.) is an important commercial fruit crop of Pakistan. It is an allogamous crop having 25-40% cross pollination which on the one hand leads to clonal degradation and on the other hand can add variations to generated new cultivars. Morpho-genetic characterization of 37 guava accessions was carried out for study of the genetic diversity among guava accessions located in province Punjab, Pakistan. For morphological analysis, 17 morphological traits were studied, and strong positive correlation was found among the 7 morphological traits which included thickness of outer flesh in relation to core diameter, fruit length, fruit width, fruit juiciness, fruit size, fruit sweetness and number of seeds. For genetic characterization, 18 microsatellites were used, and the sizes of reproducible and scorable bands ranged from 150 to 320 bp. These 18 primer pairs amplified a total of 85 alleles in P. guajava, with an average total number of 4.7 alleles per locus and no more than two displayed bands (nuclear SSR loci). The phylogenetic tree based on the morphological and genetic traits showed the diversity of these 37 guava genotypes into two major groups. These results indicated that Pakistani guava is quite diverse and a more detail study is needed to define the level of genetic variability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Psidium%20guajava%20L" title="Psidium guajava L">Psidium guajava L</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20diversity" title=" genetic diversity"> genetic diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=SSR%20markers" title=" SSR markers"> SSR markers</a>, <a href="https://publications.waset.org/abstracts/search?q=polymorphism" title=" polymorphism"> polymorphism</a>, <a href="https://publications.waset.org/abstracts/search?q=dendrogram" title=" dendrogram "> dendrogram </a> </p> <a href="https://publications.waset.org/abstracts/83595/morpho-genetic-assessment-of-guava-psidium-guajava-l-genetic-resources-in-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83595.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">208</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3023</span> Level of Awareness of Genetic Counselling in Benue State Nigeria: Its Advocacy on the Inheritance of Sickle Cell Disease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Agi%20Sunday">Agi Sunday</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A descriptive analysis of reported cases of sickle cell disease and the level of awareness about genetic counselling in 30 hospitals were carried out. Additionally, 150 individuals between ages 16-45 were randomly selected for evaluation of genetic counselling awareness. The main tools for this study were questionnaires which were taken to hospitals, and individuals completed the others. The numbers of reported cases of sickle cell disease recorded in private, public and teaching hospitals were 14 and 57; 143 and 89; 272 and 57 for the periods of 1995-2000 and 2001-2005, respectively. A general informal genetic counselling took place mostly in the hospitals visited. 122 (86%) individuals had the knowledge of genetic disease and only 43 (30.3%) individuals have been exposed to genetic counselling. 64% of individuals agreed that genetic counselling would help in the prevention of genetic disease. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sickle%20disease" title="sickle disease">sickle disease</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20counseling" title=" genetic counseling"> genetic counseling</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20testing" title=" genetic testing"> genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=advocacy" title=" advocacy"> advocacy</a> </p> <a href="https://publications.waset.org/abstracts/8810/level-of-awareness-of-genetic-counselling-in-benue-state-nigeria-its-advocacy-on-the-inheritance-of-sickle-cell-disease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8810.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">389</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3022</span> Clinical and Molecular Characterization of Ichthyosis at King Abdulaziz Medical City, Riyadh KSA</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Reema%20K.%20AlEssa">Reema K. AlEssa</a>, <a href="https://publications.waset.org/abstracts/search?q=Sahar%20Alshomer"> Sahar Alshomer</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20Alfaleh"> Abdullah Alfaleh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sultan%20ALkhenaizan"> Sultan ALkhenaizan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Albalwi"> Mohammed Albalwi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ichthyosis is a disorder of abnormal keratinization, characterized by excessive scaling, and consists of more than twenty subtypes varied in severity, mode of inheritance, and the genes involved. There is insufficient data in the literature about the epidemiology and characteristics of ichthyosis locally. Our aim is to identify the histopathological features and genetic profile of ichthyosis. Method: It is an observational retrospective case series study conducted in March 2020, included all patients who were diagnosed with Ichthyosis and confirmed by histological and molecular findings over the last 20 years in King Abdulaziz Medical City (KAMC), Riyadh, Saudi Arabia. Molecular analysis was performed by testing genomic DNA and checking genetic variations using the AmpliSeq panel. All disease-causing variants were checked against HGMD, ClinVar, Genome Aggregation Database (gnomAD), and Exome Aggregation Consortium (ExAC) databases. Result: A total of 60 cases of Ichthyosis were identified with a mean age of 13 ± 9.2. There is an almost equal distribution between female patients 29 (48%) and males 31 (52%). The majority of them were Saudis, 94%. More than half of patients presented with general scaling 33 (55%), followed by dryness and coarse skin 19 (31.6%) and hyperlinearity 5 (8.33%). Family history and history of consanguinity were seen in 26 (43.3% ), 13 (22%), respectively. History of colloidal babies was found in 6 (10%) cases of ichthyosis. The most frequent genes were ALOX12B, ALOXE3, CERS3, CYP4F22, DOLK, FLG2, GJB2, PNPLA1, SLC27A4, SPINK5, STS, SUMF1, TGM1, TGM5, VPS33B. Most frequent variations were detected in CYP4F22 in 16 cases (26.6%) followed by ALOXE3 6 (10%) and STS 6 (10%) then TGM1 5 (8.3) and ALOX12B 5 (8.3). The analysis of molecular genetic identified 23 different genetic variations in the genes of ichthyosis, of which 13 were novel mutations. Homozygous mutations were detected in the majority of ichthyosis cases, 54 (90%), and only 1 case was heterozygous. Few cases, 4 (6.6%) had an unknown type of ichthyosis with a negative genetic result. Conclusion: 13 novel mutations were discovered. Also, about half of ichthyosis patients had a positive history of consanguinity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ichthyosis" title="ichthyosis">ichthyosis</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20profile" title=" genetic profile"> genetic profile</a>, <a href="https://publications.waset.org/abstracts/search?q=molecular%20characterization" title=" molecular characterization"> molecular characterization</a>, <a href="https://publications.waset.org/abstracts/search?q=congenital%20ichthyosis" title=" congenital ichthyosis"> congenital ichthyosis</a> </p> <a href="https://publications.waset.org/abstracts/138785/clinical-and-molecular-characterization-of-ichthyosis-at-king-abdulaziz-medical-city-riyadh-ksa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/138785.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">197</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3021</span> Genetic Diversity and Variation of Nigerian Pigeon (Columba livia domestica) Populations Based on the Mitochondrial Coi Gene</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Foluke%20E.%20Sola-Ojo">Foluke E. Sola-Ojo</a>, <a href="https://publications.waset.org/abstracts/search?q=Ibraheem%20A.%20Abubakar"> Ibraheem A. Abubakar</a>, <a href="https://publications.waset.org/abstracts/search?q=Semiu%20F.%20Bello"> Semiu F. Bello</a>, <a href="https://publications.waset.org/abstracts/search?q=Isiaka%20H.%20Fatima"> Isiaka H. Fatima</a>, <a href="https://publications.waset.org/abstracts/search?q=Sule%20Bisola"> Sule Bisola</a>, <a href="https://publications.waset.org/abstracts/search?q=Adesina%20M.%20Olusegun"> Adesina M. Olusegun</a>, <a href="https://publications.waset.org/abstracts/search?q=Adeniyi%20C.%20Adeola"> Adeniyi C. Adeola</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The domesticated pigeon, Columba livia domestica, has many valuable characteristics, including high nutritional value and fast growth rate. There is a lack of information on its genetic diversity in Nigeria; thus, the genetic variability in mitochondrial cytochrome oxidase subunit I (COI) sequences of 150 domestic pigeons from four different locations was examined. Three haplotypes (HT) were identified in Nigerian populations; the most common haplotype, HT1, was shared with wild and domestic pigeons from Europe, America, and Asia, while HT2 and HT3 were unique to Nigeria. The overall haplotype diversity was 0.052± 0.025, and nucleotide diversity was 0.026± 0.068 across the four investigated populations. The phylogenetic tree showed significant clustering and genetic relationship of Nigerian domestic pigeons with other global pigeons. The median-joining network showed a star-like pattern suggesting population expansion. AMOVA results indicated that genetic variations in Nigerian pigeons mainly occurred within populations (99.93%), while the Neutrality tests results suggested that the Nigerian domestic pigeons’ population experienced recent expansion. This study showed a low genetic diversity and population differentiation among Nigerian domestic pigeons consistent with a relatively conservative COI sequence with few polymorphic sites. Furthermore, the COI gene could serve as a candidate molecular marker to investigate the genetic diversity and origin of pigeon species. The current data is insufficient for further conclusions; therefore, more research evidence from multiple molecular markers is required. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nigeria%20pigeon" title="Nigeria pigeon">Nigeria pigeon</a>, <a href="https://publications.waset.org/abstracts/search?q=COI" title=" COI"> COI</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20diversity" title=" genetic diversity"> genetic diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20variation" title=" genetic variation"> genetic variation</a>, <a href="https://publications.waset.org/abstracts/search?q=conservation" title=" conservation"> conservation</a> </p> <a href="https://publications.waset.org/abstracts/153807/genetic-diversity-and-variation-of-nigerian-pigeon-columba-livia-domestica-populations-based-on-the-mitochondrial-coi-gene" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153807.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">195</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3020</span> Prenatal Use of Serotonin Reuptake Inhibitors (SRIs) and Congenital Heart Anomalies (CHA): An Exploratory Pharmacogenetics Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aizati%20N.%20A.%20Daud">Aizati N. A. Daud</a>, <a href="https://publications.waset.org/abstracts/search?q=Jorieke%20E.%20H.%20Bergman"> Jorieke E. H. Bergman</a>, <a href="https://publications.waset.org/abstracts/search?q=Wilhelmina%20S.%20Kerstjens-Frederikse"> Wilhelmina S. Kerstjens-Frederikse</a>, <a href="https://publications.waset.org/abstracts/search?q=Pieter%20Van%20Der%20Vlies"> Pieter Van Der Vlies</a>, <a href="https://publications.waset.org/abstracts/search?q=Eelko%20Hak"> Eelko Hak</a>, <a href="https://publications.waset.org/abstracts/search?q=Rolf%20M.%20F.%20Berger"> Rolf M. F. Berger</a>, <a href="https://publications.waset.org/abstracts/search?q=Henk%20Groen"> Henk Groen</a>, <a href="https://publications.waset.org/abstracts/search?q=Bob%20Wilffert"> Bob Wilffert</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Prenatal use of SRIs was previously associated with Congenital Heart Anomalies (CHA). The aim of the study is to explore whether pharmacogenetics plays a role in this teratogenicity using a gene-environment interaction study. A total of 33 case-mother dyads and 2 mother-only (children deceased) registered in EUROCAT Northern Netherlands were included in a case-only study. Five case-mother dyads and two mothers-only were exposed to SRIs (paroxetine=3, fluoxetine=2, venlafaxine=1, paroxetine and venlafaxine=1) in the first trimester of pregnancy. The remaining 28 case-mother dyads were not exposed to SRIs. Ten genes that encode the enzymes or proteins important in determining fetal exposure to SRIs or its mechanism of action were selected: CYPs (CYP1A2, CYP2C9, CYP2C19, CYP2D6), ABCB1 (placental P-glycoprotein), SLC6A4 (serotonin transporter) and serotonin receptor genes (HTR1A, HTR1B, HTR2A, and HTR3B). All included subjects were genotyped for 58 genetic variations in these ten genes. Logistic regression analyses were performed to determine the interaction odds ratio (OR) between genetic variations and SRIs exposure on the risk of CHA. Due to low phenotype frequencies of CYP450 poor metabolizers among exposed cases, the OR cannot be calculated. For ABCB1, there was no indication of changes in the risk of CHA with any of the ABCB1 SNPs in the children and their mothers. Several genetic variations of the serotonin transporter and receptors (SLC6A4 5-HTTLPR and 5-HTTVNTR, HTR1A rs1364043, HTR1B rs6296 & rs6298, HTR3B rs1176744) were associated with an increased risk of CHA, but with too limited sample size to reach statistical significance. For SLC6A4 genetic variations, the mean genetic scores of the exposed case-mothers tended to be higher than the unexposed mothers (2.5 ± 0.8 and 1.88 ± 0.7, respectively; p=0.061). For SNPs of the serotonin receptors, the mean genetic score for exposed cases (children) tended to be higher than the unexposed cases (3.4 ± 2.2, and 1.9 ± 1.6, respectively; p=0.065). This study might be among the first to explore the potential gene-environment interaction between pharmacogenetic determinants and SRIs use on the risk of CHA. With small sample sizes, it was not possible to find a significant interaction. However, there were indications for a role of serotonin receptor polymorphisms in fetuses exposed to SRIs on fetal risk of CHA which warrants further investigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gene-environment%20interaction" title="gene-environment interaction">gene-environment interaction</a>, <a href="https://publications.waset.org/abstracts/search?q=heart%20defects" title=" heart defects"> heart defects</a>, <a href="https://publications.waset.org/abstracts/search?q=pharmacogenetics" title=" pharmacogenetics"> pharmacogenetics</a>, <a href="https://publications.waset.org/abstracts/search?q=serotonin%20reuptake%20inhibitors" title=" serotonin reuptake inhibitors"> serotonin reuptake inhibitors</a>, <a href="https://publications.waset.org/abstracts/search?q=teratogenicity" title=" teratogenicity"> teratogenicity</a> </p> <a href="https://publications.waset.org/abstracts/60437/prenatal-use-of-serotonin-reuptake-inhibitors-sris-and-congenital-heart-anomalies-cha-an-exploratory-pharmacogenetics-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60437.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">219</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3019</span> Genetic-Environment Influences on the Cognitive Abilities of 6-to-8 Years Old Twins</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Annu%20Panghal">Annu Panghal</a>, <a href="https://publications.waset.org/abstracts/search?q=Bimla%20Dhanda"> Bimla Dhanda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research paper aims to determine the genetic-environment influences on the cognitive abilities of twins. Using the 100 pairs of twins from two districts, namely: Bhiwani (N = 90) and Hisar (N = 110) of Haryana State, genetic and environmental influences were assessed in twin study design. The cognitive abilities of twins were measured using the Wechsler Intelligence Scale for Children (WISC-R). Home Observation for Measurement of the Environment (HOME) Inventory was taken to examine the home environment of twins. Heritability estimate was used to analyze the genes contributing to shape the cognitive abilities of twins. The heritability estimates for cognitive abilities of 6-7 years old twins in Hisar district were 74% and in Bhiwani District 76%. Further the heritability estimates were 64% in the twins of Hisar district and 60 in Bhiwani district % in the age group of 7-8 years. The remaining variations in the cognitive abilities of twins were due to environmental factors namely: provision for Active Stimulation, paternal involvement, safe physical environment. The findings provide robust evidence that the cognitive abilities were more influenced by genes than the environmental factors and also revealed that the influence of genetic was more in the age group 6-7 years than the age group 7-8 years. The conclusion of the heritability estimates indicates that the genetic influence was more in the age group of 6-7 years than the age group of 7-8 years. As the age increases the genetic influence decreases and environment influence increases. Mother education was strongly associated with the cognitive abilities of twins. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetics" title="genetics">genetics</a>, <a href="https://publications.waset.org/abstracts/search?q=heritability" title=" heritability"> heritability</a>, <a href="https://publications.waset.org/abstracts/search?q=twins" title=" twins"> twins</a>, <a href="https://publications.waset.org/abstracts/search?q=environment" title=" environment"> environment</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20abilities" title=" cognitive abilities"> cognitive abilities</a> </p> <a href="https://publications.waset.org/abstracts/113491/genetic-environment-influences-on-the-cognitive-abilities-of-6-to-8-years-old-twins" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113491.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">139</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3018</span> Genomic Identification of Anisakis Simplex Larvae by PCR-RAPD</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fumiko%20Kojima">Fumiko Kojima</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuji%20Fujimoto"> Shuji Fujimoto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Anisakiasis is a disease caused by infection with an anisakid larvae, mostly Anisakis simplex. The larvae commonly infect in marine fish and the disease is frequently reported in areas of the world where fish is consumed raw, lightly pickled or salted. In Japan, people have the habit of eating raw fish such as ‘sushi’ or ‘sashimi’, so they have more chance of infection with larvae of anisakid nematodes. There are three sibling species in A. simplex larvae, namely, A. simplex sensu stricto (Asss), A. pegreffii (Ap) and A. simplex C. It was revealed that Ap is dominant among the larvae from fish (Scomber japonics) in the Japan Sea side and Asss is dominant among those of the Pacific Ocean side conversely. Although anisakiasis has happened in Japan among both the Japan Sea side area and the Pacific Ocean side area. The aim of this study was to investigate genetic variations between the siblings (Asss and Ap) and within the same sibling species by random amplified polymorphic DNA (RAPD) technique. In order to investigate the genetic difference among the each A. simplex larvae, we used RAPD technique to differentiate individuals of A. simplex obtained from Scomber japonics fish those were caught in the Japan sea (Goto Islands in Nagasaki Prefecture) and the cost of Pacific Ocean (Kanagawa Prefecture). The RAPD patterns of the control DNA (Genus Raphidascaris) were markedly different from those of the A. simplex. There were differences in amplification patterns between Asss and Ap. The RAPD patterns for larvae obtained from fish of the same sea were somewhat different and variations were detected even among larvae from the same fish. These results suggest the considerable high genetic variability between Asss and Ap and the possible existence of genetic variation within the sibling species. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anisakiasis%20in%20Japan" title="Anisakiasis in Japan">Anisakiasis in Japan</a>, <a href="https://publications.waset.org/abstracts/search?q=Anisakis%20simplex" title=" Anisakis simplex"> Anisakis simplex</a>, <a href="https://publications.waset.org/abstracts/search?q=genomic%20identification" title=" genomic identification"> genomic identification</a>, <a href="https://publications.waset.org/abstracts/search?q=PCR-RAPD" title=" PCR-RAPD"> PCR-RAPD</a> </p> <a href="https://publications.waset.org/abstracts/55789/genomic-identification-of-anisakis-simplex-larvae-by-pcr-rapd" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55789.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">181</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3017</span> Genetic Testing and Research in South Africa: The Sharing of Data Across Borders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amy%20Gooden">Amy Gooden</a>, <a href="https://publications.waset.org/abstracts/search?q=Meshandren%20Naidoo"> Meshandren Naidoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Genetic research is not confined to a particular jurisdiction. Using direct-to-consumer genetic testing (DTC-GT) as an example, this research assesses the status of data sharing into and out of South Africa (SA). While SA laws cover the sending of genetic data out of SA, prohibiting such transfer unless a legal ground exists, the position where genetic data comes into the country depends on the laws of the country from where it is sent – making the legal position less clear. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cross-border" title="cross-border">cross-border</a>, <a href="https://publications.waset.org/abstracts/search?q=data" title=" data"> data</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20testing" title=" genetic testing"> genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=law" title=" law"> law</a>, <a href="https://publications.waset.org/abstracts/search?q=regulation" title=" regulation"> regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=research" title=" research"> research</a>, <a href="https://publications.waset.org/abstracts/search?q=sharing" title=" sharing"> sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a> </p> <a href="https://publications.waset.org/abstracts/153426/genetic-testing-and-research-in-south-africa-the-sharing-of-data-across-borders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153426.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">161</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3016</span> A Review Paper on Data Mining and Genetic Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sikander%20Singh%20Cheema">Sikander Singh Cheema</a>, <a href="https://publications.waset.org/abstracts/search?q=Jasmeen%20Kaur"> Jasmeen Kaur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the concept of data mining is summarized and its one of the important process i.e KDD is summarized. The data mining based on Genetic Algorithm is researched in and ways to achieve the data mining Genetic Algorithm are surveyed. This paper also conducts a formal review on the area of data mining tasks and genetic algorithm in various fields. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=KDD" title=" KDD"> KDD</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=descriptive%20mining" title=" descriptive mining"> descriptive mining</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20mining" title=" predictive mining"> predictive mining</a> </p> <a href="https://publications.waset.org/abstracts/43637/a-review-paper-on-data-mining-and-genetic-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43637.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">591</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3015</span> Molecular Insights into the Genetic Integrity of Long-Term Micropropagated Clones Using Start Codon Targeted (SCoT) Markers: A Case Study with Ansellia africana, an Endangered, Medicinal Orchid</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Paromik%20Bhattacharyya">Paromik Bhattacharyya</a>, <a href="https://publications.waset.org/abstracts/search?q=Vijay%20Kumar"> Vijay Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Johannes%20Van%20Staden"> Johannes Van Staden</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Micropropagation is an important tool for the conservation of threatened and commercially important plant species of which orchids deserve special attention. Ansellia africana is one such medicinally important orchid species having much commercial significance. Thus, development of regeneration protocols for producing clonally stable regenerates using axillary buds is of much importance. However, for large-scale micropropagation to become not only successful but also acceptable by end-users, somaclonal variations occurring in the plantlets need to be eliminated. In the light of the various factors (genotype, ploidy level, in vitro culture age, explant and culture type, etc.) that may account for the somaclonal variations of divergent genetic changes at the cellular and molecular levels, genetic analysis of micropropagated plants using a multidisciplinary approach is of utmost importance. In the present study, the clonal integrity of the long term micropropagated A. africana plants were assessed using advanced molecular marker system i.e. Start Codon Targeted Polymorphism (SCoT). Our studies recorded a clonally stable regeneration protocol for A. africana with a very high degree of clonal fidelity amongst the regenerates. The results obtained from these molecular analyses could help in modifying the regeneration protocols for obtaining clonally stable true to type plantlets for sustainable commercial use. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=medicinal%20orchid%20micropropagation" title="medicinal orchid micropropagation">medicinal orchid micropropagation</a>, <a href="https://publications.waset.org/abstracts/search?q=start%20codon%20targeted%20polymorphism%20%28SCoT%29" title=" start codon targeted polymorphism (SCoT)"> start codon targeted polymorphism (SCoT)</a>, <a href="https://publications.waset.org/abstracts/search?q=RAP%29" title="RAP)">RAP)</a>, <a href="https://publications.waset.org/abstracts/search?q=traditional%20African%20pharmacopoeia" title=" traditional African pharmacopoeia"> traditional African pharmacopoeia</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20%20fidelity" title=" genetic fidelity"> genetic fidelity</a> </p> <a href="https://publications.waset.org/abstracts/53547/molecular-insights-into-the-genetic-integrity-of-long-term-micropropagated-clones-using-start-codon-targeted-scot-markers-a-case-study-with-ansellia-africana-an-endangered-medicinal-orchid" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53547.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">426</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3014</span> Molecular and Phytochemical Fingerprinting of Anti-Cancer Drug Yielding Plants in South India </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alexis%20John%20de%20Britto">Alexis John de Britto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Studies were performed to select the superior genotypes based on intra-specific variations, caused by phytogeographical, climatic and edaphic parameters of three anti cancer drug yielding mangrove plants such as Acanthus ilicifolius L., Calophyllum inophyllum L. and Excoecaria agallocha L. using ISSR (Inter Simple Sequence Repeats) markers and phytochemical analysis such as preliminary phytochemical tests, TLC, HPTLC, HPLC and antioxidant tests. The plants were collected from five different geographical locations of the East Coast of south India. Genetic heterozygosity, Nei’s gene diversity, Shannon’s information index and Percentage of polymorphism between the populations were calculated using POPGENE software. Cluster analysis was performed using UPGMA algorithm. AMOVA and correlations between genetic diversity and soil factors were analyzed. Combining the molecular and phytochemical variations superior genotypes were selected. Conservation constraints and methods of efficient exploitation of the species are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anti-cancer%20drug%20yielding%20plants" title="anti-cancer drug yielding plants">anti-cancer drug yielding plants</a>, <a href="https://publications.waset.org/abstracts/search?q=DNA%20fingerprinting" title=" DNA fingerprinting"> DNA fingerprinting</a>, <a href="https://publications.waset.org/abstracts/search?q=phytochemical%20analysis" title=" phytochemical analysis"> phytochemical analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=selection%20of%20superior%20genotypes" title=" selection of superior genotypes "> selection of superior genotypes </a> </p> <a href="https://publications.waset.org/abstracts/41106/molecular-and-phytochemical-fingerprinting-of-anti-cancer-drug-yielding-plants-in-south-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41106.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">330</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3013</span> Hardware for Genetic Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fariborz%20Ahmadi">Fariborz Ahmadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Tati"> Reza Tati</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Genetic algorithm is a soft computing method that works on set of solutions. These solutions are called chromosome and the best one is the absolute solution of the problem. The main problem of this algorithm is that after passing through some generations, it may be produced some chromosomes that had been produced in some generations ago that causes reducing the convergence speed. From another respective, most of the genetic algorithms are implemented in software and less works have been done on hardware implementation. Our work implements genetic algorithm in hardware that doesn’t produce chromosome that have been produced in previous generations. In this work, most of genetic operators are implemented without producing iterative chromosomes and genetic diversity is preserved. Genetic diversity causes that not only do not this algorithm converge to local optimum but also reaching to global optimum. Without any doubts, proposed approach is so faster than software implementations. Evaluation results also show the proposed approach is faster than hardware ones. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hardware" title="hardware">hardware</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20science" title=" computer science"> computer science</a>, <a href="https://publications.waset.org/abstracts/search?q=engineering" title=" engineering"> engineering</a> </p> <a href="https://publications.waset.org/abstracts/5598/hardware-for-genetic-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5598.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">506</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3012</span> Milk Yield and Fingerprinting of Beta-Casein Precursor (CSN2) Gene in Some Saudi Camel Breeds</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amr%20A.%20El%20Hanafy">Amr A. El Hanafy</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasser%20M.%20Saad"> Yasser M. Saad</a>, <a href="https://publications.waset.org/abstracts/search?q=Saleh%20A.%20Alkarim"> Saleh A. Alkarim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hussein%20A.%20Almehdar"> Hussein A. Almehdar</a>, <a href="https://publications.waset.org/abstracts/search?q=Elrashdy%20M.%20Redwan"> Elrashdy M. Redwan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Camels are substantial providers of transport, milk, sport, meat, shelter, fuel, security and capital in many countries, particularly Saudi Arabia. Identification of animal breeds has progressed rapidly during the last decade. Advanced molecular techniques are playing a significant role in breeding or strain protection laws. On the other hand, fingerprinting of some molecular markers related to some productive traits in farm animals represents most important studies to our knowledge, which aim to conserve these local genetic resources, and to the genetic improvement of such local breeds by selective programs depending on gene markers. Milk records were taken two days in each week from female camels of Majahem, Safara, Wathaha, and Hamara breeds, respectively from different private farms in northern Jeddah, Riyadh and Alwagh governorates and average weekly yields were calculated. DNA sequencing for CSN2 gene was used for evaluating the genetic variations and calculating the genetic distance values among four Saudi camel populations which are Hamra(R), Safra(Y), Wadha(W) and Majaheim(M). In addition, this marker was analyzed for reconstructing the Neighbor joining tree among evaluating camel breeds. In respect to milk yield during winter season, result indicated that average weekly milk yield of Safara camel breed (30.05 Kg/week) is significantly (p < 0.05) lower than the other 3 breeds which ranged from 39.68 for Hamara to 42.42 Kg/week for Majahem, while there are not significant differences between these three breeds. The Neighbor Joining analysis that re-constructed based on DNA variations showed that samples are clustered into two unique clades. The first clade includes Y (from Y4 to Y18) and M (from M1, to M9). On the other hand, the second cluster is including all R (from R1 to R6) and W (from W1 to W6). The genetic distance values were equal 0.0068 (between the groups M&Y and R&W) and equal 0 (within each group). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=milk%20yield" title="milk yield">milk yield</a>, <a href="https://publications.waset.org/abstracts/search?q=beta-casein%20precursor%20%28CSN2%29" title=" beta-casein precursor (CSN2)"> beta-casein precursor (CSN2)</a>, <a href="https://publications.waset.org/abstracts/search?q=Saudi%20camel" title=" Saudi camel"> Saudi camel</a>, <a href="https://publications.waset.org/abstracts/search?q=molecular%20markers" title=" molecular markers"> molecular markers</a> </p> <a href="https://publications.waset.org/abstracts/74687/milk-yield-and-fingerprinting-of-beta-casein-precursor-csn2-gene-in-some-saudi-camel-breeds" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74687.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">214</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3011</span> Enhancement of Genetic Diversity through Cross Breeding of Two Catfish (Heteropneustes fossilis and Clarias batrachus) in Bangladesh</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20F.%20Miah">M. F. Miah</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Chakrabarty"> A. Chakrabarty</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Two popular and highly valued fish, Stinging catfish (Heteropneustes fossilis) and Asian catfish (Clarias batrachus) are considered for observing genetic enhancement. Cross breeding was performed considering wild and farmed fish through inducing agent. Five RAPD markers were used to assess genetic diversity among parents and offspring of these two catfish for evaluating genetic enhancement in F1 generation. Considering different genetic data such as banding pattern of DNA, polymorphic loci, polymorphic information content (PIC), inter individual pair wise similarity, Nei genetic similarity, genetic distance, phylogenetic relationships, allele frequency, genotype frequency, intra locus gene diversity and average gene diversity of parents and offspring of these two fish were analyzed and finally in both cases higher genetic diversity was found in F1 generation than the parents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Heteropneustes%20fossilis" title="Heteropneustes fossilis">Heteropneustes fossilis</a>, <a href="https://publications.waset.org/abstracts/search?q=Clarias%20batrachus" title=" Clarias batrachus"> Clarias batrachus</a>, <a href="https://publications.waset.org/abstracts/search?q=cross%20breeding" title=" cross breeding"> cross breeding</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20enhancement" title=" genetic enhancement"> genetic enhancement</a> </p> <a href="https://publications.waset.org/abstracts/82616/enhancement-of-genetic-diversity-through-cross-breeding-of-two-catfish-heteropneustes-fossilis-and-clarias-batrachus-in-bangladesh" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82616.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">252</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3010</span> Genetic and Non-Genetic Evaluation of Milk Yield and Litter Size of Awassi Sheep in Drylands</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Al-Najjar">Khaled Al-Najjar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Q.%20Al-Momani"> Ahmad Q. Al-Momani</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Elnahas"> Ahmed Elnahas</a>, <a href="https://publications.waset.org/abstracts/search?q=Reda%20Elsaid"> Reda Elsaid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research was carried out using records of Awassi sheep bred in drylands at Al-Fjaj Station, Jordan. That aimed to study non-genetic factors affecting milk yield (MK), litter size at birth (LZB); estimate heritability, repeatability, and genetic and phenotypic correlation using SAS and MTDFREML programs. The results were as follows, the average MK and LZB were 92.84 (kg) and 1.16, respectively. MK was highly significantly affected by each parity, age of ewe, year of lambing, and lactation period, while only the year of lambing had a significant effect on LZB. The heritability and repeatability were 0.07 and 0.10 for MK, while it was 0.05 and 0.25 for LZB. The genetic and phenotypic correlations were 0.17 and 0.02 between MK and LZB, respectively. The research concluded that the herd is genetically homozygous and therefore needs to increase genetic variance by introducing LZB-improved rams and selecting females from dams who achieved at least four parties to increase returns in drylands. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Awassi%20sheep" title="Awassi sheep">Awassi sheep</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20parameters" title=" genetic parameters"> genetic parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=litter%20size" title=" litter size"> litter size</a>, <a href="https://publications.waset.org/abstracts/search?q=milk%20yield" title=" milk yield"> milk yield</a> </p> <a href="https://publications.waset.org/abstracts/149418/genetic-and-non-genetic-evaluation-of-milk-yield-and-litter-size-of-awassi-sheep-in-drylands" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149418.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">121</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3009</span> The Legal Regulation of Direct-to-Consumer Genetic Testing In South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amy%20Gooden">Amy Gooden</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Despite its prevalence, direct-to-consumer genetic testing (DTC-GT) remains under-investigated in South Africa (SA), and the issue of regulation is yet to be examined. Therefore, this research maps the current legal landscape relating to DTC-GT in SA through a legal analysis of the extant law relevant to the industry and the issues associated therewith – with the intention of determining if and how DTC-GT is legally governed. This research analyses: whether consumers are legally permitted to collect their saliva; whether DTC-GT are medical devices; licensing, registering, and advertising; importing and exporting; and genetic research conducted by companies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=direct-to-consumer%20genetic%20testing" title="direct-to-consumer genetic testing">direct-to-consumer genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20testing" title=" genetic testing"> genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=health" title=" health"> health</a>, <a href="https://publications.waset.org/abstracts/search?q=law" title=" law"> law</a>, <a href="https://publications.waset.org/abstracts/search?q=regulation" title=" regulation"> regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a> </p> <a href="https://publications.waset.org/abstracts/153430/the-legal-regulation-of-direct-to-consumer-genetic-testing-in-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153430.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">139</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3008</span> Genetic Variation of Shvicezebuvides Cattle in Tajikistan Based on Microsatellite Markers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Norezzine%20Abdelaziz">Norezzine Abdelaziz</a>, <a href="https://publications.waset.org/abstracts/search?q=Rebouh%20Nazih%20Yacer"> Rebouh Nazih Yacer</a>, <a href="https://publications.waset.org/abstracts/search?q=Kezimana%20Parfait"> Kezimana Parfait</a>, <a href="https://publications.waset.org/abstracts/search?q=Parpura%20D.%20I."> Parpura D. I.</a>, <a href="https://publications.waset.org/abstracts/search?q=Gadzhikurbanov%20A."> Gadzhikurbanov A.</a>, <a href="https://publications.waset.org/abstracts/search?q=Anastasios%20Dranidis"> Anastasios Dranidis </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The genetic variation of Shvicezebuvides cattle from three different farms in the Tajikistan Republic was studied using 10 microsatellite markers (SSR). The trials were laid out using a multi- locus analysis system for the analysis of cattle microsatellite locus. An estimated genetic variability of the examined livestock is given in the article. The results of our SSR analysis as well as the numbers and frequencies of common alleles in studied samples, we established a high genetic similarity of studied samples. These results can also be furthermore useful in the decision making for preservation and rational genetic resources usage of the Tajik Shvicezebuvides cattle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetic%20characteristic" title="genetic characteristic">genetic characteristic</a>, <a href="https://publications.waset.org/abstracts/search?q=frequencies%20of%20the%20occurrence%20alleles" title=" frequencies of the occurrence alleles"> frequencies of the occurrence alleles</a>, <a href="https://publications.waset.org/abstracts/search?q=microsatellite%20markers" title=" microsatellite markers"> microsatellite markers</a>, <a href="https://publications.waset.org/abstracts/search?q=Swiss%20cattle" title=" Swiss cattle"> Swiss cattle</a> </p> <a href="https://publications.waset.org/abstracts/83760/genetic-variation-of-shvicezebuvides-cattle-in-tajikistan-based-on-microsatellite-markers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83760.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3007</span> Comparison Between Genetic Algorithms and Particle Swarm Optimization Optimized Proportional Integral Derirative and PSS for Single Machine Infinite System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benalia%20Nadia">Benalia Nadia</a>, <a href="https://publications.waset.org/abstracts/search?q=Zerzouri%20Nora"> Zerzouri Nora</a>, <a href="https://publications.waset.org/abstracts/search?q=Ben%20Si%20Ali%20Nadia"> Ben Si Ali Nadia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Abstract: Among the many different modern heuristic optimization methods, genetic algorithms (GA) and the particle swarm optimization (PSO) technique have been attracting a lot of interest. The GA has gained popularity in academia and business mostly because to its simplicity, ability to solve highly nonlinear mixed integer optimization problems that are typical of complex engineering systems, and intuitiveness. The mechanics of the PSO methodology, a relatively recent heuristic search tool, are modeled after the swarming or cooperative behavior of biological groups. It is suitable to compare the performance of the two techniques since they both aim to solve a particular objective function but make use of distinct computing methods. In this article, PSO and GA optimization approaches are used for the parameter tuning of the power system stabilizer and Proportional integral derivative regulator. Load angle and rotor speed variations in the single machine infinite bus bar system is used to measure the performance of the suggested solution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SMIB" title="SMIB">SMIB</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=PSO" title=" PSO"> PSO</a>, <a href="https://publications.waset.org/abstracts/search?q=transient%20stability" title=" transient stability"> transient stability</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20system%20stabilizer" title=" power system stabilizer"> power system stabilizer</a>, <a href="https://publications.waset.org/abstracts/search?q=PID" title=" PID"> PID</a> </p> <a href="https://publications.waset.org/abstracts/171020/comparison-between-genetic-algorithms-and-particle-swarm-optimization-optimized-proportional-integral-derirative-and-pss-for-single-machine-infinite-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171020.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">83</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3006</span> Security System for Safe Transmission of Medical Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Jamal%20Al-Mansor">Mohammed Jamal Al-Mansor</a>, <a href="https://publications.waset.org/abstracts/search?q=Kok%20Beng%20Gan"> Kok Beng Gan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper develops an optimized embedding of payload in medical image by using genetic optimization. The goal is to preserve region of interest from being distorted because of the watermark. By using this developed system there is no need of manual defining of region of interest through experts as the system will apply the genetic optimization to select the parts of image that can carry the watermark with guaranteeing less distortion. The experimental results assure that genetic based optimization is useful for performing steganography with less mean square error percentage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AES" title="AES">AES</a>, <a href="https://publications.waset.org/abstracts/search?q=DWT" title=" DWT"> DWT</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=watermarking" title=" watermarking"> watermarking</a> </p> <a href="https://publications.waset.org/abstracts/52270/security-system-for-safe-transmission-of-medical-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52270.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">411</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3005</span> Genetic Characterization of Barley Genotypes via Inter-Simple Sequence Repeat</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Yorganc%C4%B1lar">Mustafa Yorgancılar</a>, <a href="https://publications.waset.org/abstracts/search?q=Emine%20Atalay"> Emine Atalay</a>, <a href="https://publications.waset.org/abstracts/search?q=Necdet%20Akg%C3%BCn"> Necdet Akgün</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Topal"> Ali Topal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, polymerase chain reaction based Inter-simple sequence repeat (ISSR) from DNA fingerprinting techniques were used to investigate the genetic relationships among barley crossbreed genotypes in Turkey. It is important that selection based on the genetic base in breeding programs via ISSR, in terms of breeding time. 14 ISSR primers generated a total of 97 bands, of which 81 (83.35%) were polymorphic. The highest total resolution power (RP) value was obtained from the F2 (0.53) and M16 (0.51) primers. According to the ISSR result, the genetic similarity index changed between 0.64–095; Lane 3 with Line 6 genotypes were the closest, while Line 36 were the most distant ones. The ISSR markers were found to be promising for assessing genetic diversity in barley crossbreed genotypes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=barley" title="barley">barley</a>, <a href="https://publications.waset.org/abstracts/search?q=crossbreed" title=" crossbreed"> crossbreed</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20similarity" title=" genetic similarity"> genetic similarity</a>, <a href="https://publications.waset.org/abstracts/search?q=ISSR" title=" ISSR"> ISSR</a> </p> <a href="https://publications.waset.org/abstracts/63629/genetic-characterization-of-barley-genotypes-via-inter-simple-sequence-repeat" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63629.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">347</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3004</span> The Role of Genetic Markers in Prostate Cancer Diagnosis and Treatment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farman%20Ali">Farman Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Asif%20Mahmood"> Asif Mahmood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The utilization of genetic markers in prostate cancer management represents a significant advance in personalized medicine, offering the potential for more precise diagnosis and tailored treatment strategies. This paper explores the pivotal role of genetic markers in the diagnosis and treatment of prostate cancer, emphasizing their contribution to the identification of individual risk profiles, tumor aggressiveness, and response to therapy. By integrating current research findings, we discuss the application of genetic markers in developing targeted therapies and the implications for patient outcomes. Despite the promising advancements, challenges such as accessibility, cost, and the need for further validation in diverse populations remain. The paper concludes with an outlook on future directions, underscoring the importance of genetic markers in revolutionizing prostate cancer care. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=prostate%20cancer" title="prostate cancer">prostate cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20markers" title=" genetic markers"> genetic markers</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=BRCA1%20and%20BRCA2" title=" BRCA1 and BRCA2"> BRCA1 and BRCA2</a> </p> <a href="https://publications.waset.org/abstracts/184866/the-role-of-genetic-markers-in-prostate-cancer-diagnosis-and-treatment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184866.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">62</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3003</span> Cross-border Data Transfers to and from South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amy%20Gooden">Amy Gooden</a>, <a href="https://publications.waset.org/abstracts/search?q=Meshandren%20Naidoo"> Meshandren Naidoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Genetic research and transfers of big data are not confined to a particular jurisdiction, but there is a lack of clarity regarding the legal requirements for importing and exporting such data. Using direct-to-consumer genetic testing (DTC-GT) as an example, this research assesses the status of data sharing into and out of South Africa (SA). While SA laws cover the sending of genetic data out of SA, prohibiting such transfer unless a legal ground exists, the position where genetic data comes into the country depends on the laws of the country from where it is sent – making the legal position less clear. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cross-border" title="cross-border">cross-border</a>, <a href="https://publications.waset.org/abstracts/search?q=data" title=" data"> data</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20testing" title=" genetic testing"> genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=law" title=" law"> law</a>, <a href="https://publications.waset.org/abstracts/search?q=regulation" title=" regulation"> regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=research" title=" research"> research</a>, <a href="https://publications.waset.org/abstracts/search?q=sharing" title=" sharing"> sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a> </p> <a href="https://publications.waset.org/abstracts/153435/cross-border-data-transfers-to-and-from-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153435.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">125</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3002</span> Association of ApoB, CETP and GALNT2 Genetic Variants with Type 2 Diabetes-Related Traits in Population from Bosnia and Herzegovina</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anida%20Causevic-Ramosevac">Anida Causevic-Ramosevac</a>, <a href="https://publications.waset.org/abstracts/search?q=Sabina%20Semiz"> Sabina Semiz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study was to investigate the association of four single nucleotide polymorphisms (SNPs) - rs673548, rs693 in ApoB gene, rs1800775 in CETP gene and rs4846914 in GALNT2 gene with parameters of type 2 diabetes (T2D) and diabetic dyslipidemia in the population of Bosnia and Herzegovina (BH). Materials and methods: Our study involved 352 patients with T2D and 156 healthy subjects. Biochemical and anthropometric parameters were measured in all participants. DNA was extracted from the peripheral blood for the purpose of genetic testing. Polymorphisms in ApoB (rs673548, rs693), CETP (rs1800775) and GALNT2 (rs4846914) genes were analyzed by using Sequenom IPLEX platform. Results: Our results demonstrated significant associations for rs180075 polymorphism in CETP gene with levels of fasting insulin (p = 0.020; p = 0.027; p = 0.044), triglycerides (p = 0.046) and ALT (p = 0.031) activity in control group. In group of diabetic patients, results showed a significant association of rs673548 in ApoB gene with levels of fasting insulin (p = 0.008), HOMA-IR (p = 0.013), VLDL-C (p = 0.037) and CRP (p = 0.029) and rs693 in ApoB gene with BMI (p = 0.025), systolic blood pressure (p = 0.027), fasting insulin (p = 0.037) and HOMA-IR (p = 0.023) levels. Significant associations were also observed for rs1800775 in CETP gene with triglyceride (p = 0.023) levels and rs4846914 in GALNT2 gene with HbA1C (p = 0.013) and triglyceride (p = 0.043) levels. Conclusion: In conclusion, this is the first study that examined the impact of variations of candidate genes on a wide range of metabolic parameters in BH population. Our results suggest an association of variations of ApoB, CETP and GALNT2 genes with specific markers of T2D and dyslipidemia. Further studies would be needed in order to confirm these genetic effects in other ethnic groups as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ApoB" title="ApoB">ApoB</a>, <a href="https://publications.waset.org/abstracts/search?q=CETP" title=" CETP"> CETP</a>, <a href="https://publications.waset.org/abstracts/search?q=dyslipidemia" title=" dyslipidemia"> dyslipidemia</a>, <a href="https://publications.waset.org/abstracts/search?q=GALNT2" title=" GALNT2"> GALNT2</a>, <a href="https://publications.waset.org/abstracts/search?q=type%202%20diabetes" title=" type 2 diabetes"> type 2 diabetes</a> </p> <a href="https://publications.waset.org/abstracts/72266/association-of-apob-cetp-and-galnt2-genetic-variants-with-type-2-diabetes-related-traits-in-population-from-bosnia-and-herzegovina" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72266.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">249</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3001</span> Morphological and Molecular Analysis of Selected Fast-Growing Blue Swimming Crab (Portunus pelagicus) in South of Sulawesi </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yushinta%20Fujaya">Yushinta Fujaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Andi%20Ivo%20Asphama"> Andi Ivo Asphama</a>, <a href="https://publications.waset.org/abstracts/search?q=Andi%20Parenrengi"> Andi Parenrengi</a>, <a href="https://publications.waset.org/abstracts/search?q=Andi%20Tenriulo"> Andi Tenriulo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Blue Swimming crab (Portunus pelagicus) is an important commercial species throughout the subtropical waters and as such constitutes part of the fisheries resources. Data are lacking on the morphological variations of selected fast-growing crabs reared in a pond. This study aimed to analyze the morphological and molecular character of a selected fast-growing crab reared in ponds in South of Sulawesi. The crab seeds were obtained from local fish-trap and hatchery. A study on the growth was carried out in the population of crabs. The dimensions analyzed were carapace width (CW) measured after 3 months of grow out. Morphological character states were examined based on the pattern of spots on the carapace. Molecular analysis was performed using RAPD (Random Amplified Polymorphic DNA). Genetic distance was analysed using TFPGA (Tools for Population Genetic Analyses) version 1.3. The results showed that there were variations in the growth of crabs. These crabs clustered morphologically into three quite distinct groups. The crab with white spots irregularly spread over its carapace was the largest size while the crab with large white spots scattered over the carapace was the smaller size (3%). The crab with small white spots scattered over the carapace was the smallest size found in this study. Molecular analysis showed that there are morphologically and genetically different between groups of crabs. Genetic distances among crabs ranged from 0.1527 to 0.5856. Thus, this study provides information the use of white spots pattern over carapace as indicators to identify the type of blue swimming crabs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crab" title="crab">crab</a>, <a href="https://publications.waset.org/abstracts/search?q=portunus%20pelagicus" title=" portunus pelagicus"> portunus pelagicus</a>, <a href="https://publications.waset.org/abstracts/search?q=morphology" title=" morphology"> morphology</a>, <a href="https://publications.waset.org/abstracts/search?q=RAPD" title=" RAPD"> RAPD</a>, <a href="https://publications.waset.org/abstracts/search?q=Carapace" title=" Carapace"> Carapace</a> </p> <a href="https://publications.waset.org/abstracts/20407/morphological-and-molecular-analysis-of-selected-fast-growing-blue-swimming-crab-portunus-pelagicus-in-south-of-sulawesi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20407.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">538</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=genetic%20variations&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=genetic%20variations&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=genetic%20variations&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=genetic%20variations&page=5">5</a></li> <li class="page-item"><a class="page-link" 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