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165 results for “Genetic mutation”
Figure 5. Mutation process. This is happened by decreasing 0.2 from Med-Cold probability and adding 0.2 to Med- Hot.-Genetic Algorithms Principles Towards Hidden Markov Model
<p>Figure 5 illustrates an example of mutation process. In Figure 5, Med-Cold:0.9 and Med-Hot:0.1<br> before mutation and become Med-Cold:0.7 and Med-Hot:0.3 after mutation. This is done by<br> decreasing 0.2 from Med-Cold probability and adding 0.2 to Med-Hot probability.</p>
Using the Genetic Algorithm for the Optimization of Dynamic School Bus Routing Problem-Figure 6. Mutation process
<p>The individuals obtained at the end of crossing over might not provide the desired level of variability. In that case, the produced individuals are mutated independently from another individual in such a way that their own gene sequence will change. The mutation process is performed in the event that the mutation possibility that is specified in the beginning comes true. The results obtained from mutation can enhance the outcome or make it worse. It is of utmost importance to specify the most suitable mutation possibility. This possibility should be high enough to prevent the method from becoming stuck at a local point, but at the same time, low enough to allow the best results produced by crossing over and multiplexing. In this study, the mutation possibility was selected as 10%, and the locations of two randomly selected bus stops were changed during the mutation process. As in the crossing over, also during this process, the limitations regarding producing a new individual (route) were adapted. Figure 6 shows an example to mutation process.</p>
Figure 1 in Genetic diversity and Kdr mutations of natural Aedes (Stegomyia) aegypti (Diptera: Culicidae) populations of Brazil
Figure 1 Distribution of the kdr alleles in Aedes aegypti populations for each Paraná locality. The state is detached, showing its multiple cities of collection.
Figure 3 in Genetic diversity and Kdr mutations of natural Aedes (Stegomyia) aegypti (Diptera: Culicidae) populations of Brazil
Figure 3 Dendrogram of the 40 haplotypes of Aedes aegypti divided into four groups. Neighbor-joining (NJ) tree of A. aegypti haplotypes using the Tamura-Nei parameter genetic distance model. Bootstrap values are marked under the respective nodes. S. albopictus was considered as external group. AS - Alvorada do Sul; MR - Marilena; MG -Maringá, NL - Nova Londrina; PV - Paranavaí; SC - São Carlos do Ivaí.
Figure 2 in Genetic diversity and Kdr mutations of natural Aedes (Stegomyia) aegypti (Diptera: Culicidae) populations of Brazil
Figure 2 Haplotype network of ND4 gene of Aedes aegypti populations of the six minicipalities of Paraná and others from America (Gonçalves da Silva et al., 2012). The mosquitoes referring to this analysis were renamed with PR next to the haplotype number (ex: H1PR), to differentiate from the haplotypes (H) found by Gonçalves da Silva et al. (2012). The rectangle represents the ancestral haplotype. The smaller circles connecting the identified haplotypes correspond to the non-sampled haplotypes (missing haplotypes) and classified as intermediaries.
dataset related to article "EXPANDING THE GENETIC SPECTRUM OF PRIMARY FAMILIAL BRAIN CALCIFICATION DUE TO SLC2OA2 MUTATIONS: A CASE SERIES"
<p>Sanger sequences (.abi files) of all patients of our Fondazione Besta Cohort.</p>
Give and take: Effects of genetic admixture on mutation load in endangered Florida panthers
<p>Genetic admixture is a biological event inherent to genetic rescue programs aimed at the long-term conservation of endangered wildlife. Although the success of such programs can be measured by the increase in genetic diversity and fitness of subsequent admixed individuals, predictions supporting admixture costs to fitness due to the introduction of novel deleterious alleles are necessary. Here, we analyzed nonsynonymous variation from conserved genes to quantify and compare levels of mutation load (i.e., proportion of deleterious alleles and genotypes carrying these alleles) among endangered Florida panthers and non-endangered Texas pumas. Specifically, we used canonical (i.e., non-admixed) Florida panthers, Texas pumas, and F<sub>1</sub> (canonical Florida x Texas) panthers dating from a genetic rescue program and Everglades National Park panthers with Central American ancestry resulting from an earlier admixture event. We found neither genetic drift nor selection significantly reduced overall proportions of deleterious alleles in the severely bottlenecked canonical Florida panthers. Nevertheless, the deleterious alleles identified were distributed into a disproportionately high number of homozygous genotypes due to close inbreeding in this group. Conversely, admixed Florida panthers (either with Texas or Central American ancestry) presented reduced levels of homozygous genotypes carrying deleterious alleles but increased levels of heterozygous genotypes carrying these variants relative to canonical Florida panthers. Although admixture is likely to alleviate the load of standing deleterious variation present in homozygous genotypes, our results suggest introduced novel deleterious alleles (temporarily present in heterozygous state) in genetically rescued populations could potentially be expressed in subsequent generations if their effective sizes remain small.</p>
The genetic basis of mutation rate variation in yeast [data and script]
<p>This dataset contains the data and the scripts for the study of exploring the genetic basis of mutation rate in yeast (https://www.biorxiv.org/content/early/2018/06/04/338723). </p> <ul> <li>The genotype folder contains the genotype for 1040 segreants, as well as the genotype for the 843 segregants used for QTL mapping.</li> <li>The mutation_spectrum contains the codes for MiSeq data processing, mutation variants calling, mutation spectrum detection and plotting. </li> <li>The phenotype folder contains the mutations per culture (parameter m) for 843 segreants, as well as the number of cells per culture (parameter N) for the corresponding segregants.</li> <li>The qtl_mapping folder contains the codes for QTL mapping and the codes to plot the correlation between mutation rate and mutagen resistance.</li> </ul>
Genetic Screening for Filaggrin Mutation in Atopic Dermatitis and Ichthyosis Vulgaris in the African American Population
ClinicalTrials.gov study NCT01016106. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Open Label Study to Assess Efficacy and Safety of Olaparib in Confirmed Genetic BRCA1 or BRCA2 Mutation Pats
ClinicalTrials.gov study NCT01078662. IPD Sharing: YES. Countries: 6. Publications: 2.
Give and take: Effects of genetic admixture on mutation load in endangered Florida panthers
Open the record for dataset details and reuse information.
Host suitability and fitness-related parameters in Coptera haywardi ([Hymenoptera]: [Diapriidae]) reared on irradiated Ceratitis capitata ([Diptera]: [Tehritidae]) pupae stemming from the genetic sexing Vienna-8 strain with a temperature-sensitive lethal mutation
Open the record for dataset details and reuse information.
Data from: Early genetic evolution of driver mutations in uveal melanoma
Open the record for dataset details and reuse information.
Data from: The genetic basis of a rare flower color polymorphism in Mimulus lewisii provides insight to the evolutionary mutation spectrum
A long-standing question in evolutionary biology asks whether the genetic changes contributing to phenotypic evolution are predictable. Here, we identify a genetic change associated with segregating variation in flower color within a population of Mimulus lewisii. To determine whether these types of changes are predictable, we combined this information with data from other species to investigate whether the spectrum of mutations affecting flower color transitions differs based on the evolutionary time-scale since divergence. We used classic genetic techniques, along with gene expression and population genetic approaches, to identify the putative, loss-of-function mutation that generates rare, white flowers instead of the common, pink color in M. lewisii. We found that a frameshift mutation in an anthocyanin pathway gene is responsible for the white-flowered polymorphism found in this population of M. lewisii. Comparison of our results with data from other species reveals a broader spectrum of flower color mutations segregating within populations relative to those that fix between populations. These results suggest that the genetic basis of fixed differences in flower color may be predictable, but that for segregating variation is not.
Data from: Do genetic drift and accumulation of deleterious mutations preclude adaptation? Empirical investigation using RADseq in a northern lacustrine fish
Understanding genomic signatures of divergent selection underlying long-term adaptation in populations located in heterogeneous environments is a key goal in evolutionary biology. In this study, we investigated neutral, adaptive and deleterious genetic variation using 7,192 SNPs in 31 Lake Trout (Salvelinus namaycush) populations (n = 673) from Québec, Canada. Average genetic diversity was low, weakly shared among lakes, and positively correlated to lake size, indicating a major role for genetic drift subsequent to lake isolation. Putatively deleterious mutations were on average at lower frequencies than the other SNPs, and their abundance relative to the entire polymorphism in each population was positively correlated to inbreeding, suggesting that the effectiveness of purifying selection was negatively correlated to inbreeding, as predicted from theory. Despite evidence for pronounced genetic drift and inbreeding, several outlier loci were associated with temperature and found in or close to genes with biologically relevant functions notably related to heat-stress and immune responses. Outcomes of gene-temperature associations were influenced by the inclusion of the most inbred populations, in which allele frequencies deviated the most from model predictions. This result illustrates challenge in identifying gene-environment associations in cases of high genetic drift and restricted gene flow and suggests limited adaptation in populations experiencing higher inbreeding. We discuss the relevance of these findings for the conservation and management, notably regarding stocking and genetic rescue, of Lake Trout populations and other species inhabiting highly fragmented habitats.
Data from: Mutation is a sufficient and robust predictor of genetic variation for mitotic spindle traits in Caenorhabditis elegans
Different types of phenotypic traits consistently exhibit different levels of genetic variation in natural populations. There are two potential explanations: either mutation produces genetic variation at different rates, or natural selection removes or promotes genetic variation at different rates. Whether mutation or selection is of greater general importance is a longstanding unresolved question in evolutionary genetics. We report mutational variances (VM) for 19 traits related to the first mitotic cell division in C. elegans, and compare them to the standing genetic variances (VG) for the same suite of traits in a worldwide collection C. elegans. Two robust conclusions emerge. First, the mutational process is highly repeatable: the correlation between VM in two independent sets of mutation accumulation lines is ~0.9. Second, VM for a trait is a good predictor of VG for that trait: the correlation between VM and VG is ~0.9. This result is predicted for a population at mutation-selection balance; it is not predicted if balancing selection plays a primary role in maintaining genetic variation.
Genetic mutations and decreased protein expression of ABCG2 urate transporters are associated with susceptibility to gout, disease severity and renal-overload hyperuricemia
<p><strong>We are releasing the data and code of our study of clinically defined gouty patients. </strong></p>
Targeting a Genetic Mutation in Glycine Metabolism With D-cycloserine
ClinicalTrials.gov study NCT02304432. IPD Sharing: Not stated. Countries: 0. Publications: 37.
The Association Between Post-ERCP Acute Pancreatitis and Various Genetic Mutations
ClinicalTrials.gov study NCT02928718. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
A Study of a Potential Disease Modifying Treatment in Individuals at Risk for or With a Type of Early Onset AD Caused by a Genetic Mutation
ClinicalTrials.gov study NCT06647498. IPD Sharing: YES. Countries: 14. Publications: 16.
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International Brain Laboratory public data
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OpenNeuro
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