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At least 343 records · Page 19Linked to original sources
PubMed1997

The Han:SPRD rat is not a genetic model of human autosomal dominant polycystic kidney disease type 1.

Human autosomal dominant polycystic kidney disease (ADPKD) is a high incidence disorder leading to renal failure in many patients. The majority of cases results from a mutation in the PKD1 gene. The only well documented animal model of ADPKD is the Han:SPRD-Pkd strain. Its genetic basis is unknown as yet. In the current study we determined whether the disease in these rats is genetically linked to the rat homologue of the PKD1 gene. We used the protamine gene as a polymorphic marker (Prm1) of the PKD1 region. Matings of Han:SPRD-Pkd with BB rats and backcross of the offspring with BB yielded animals informative for linkage analysis. This analysis revealed random segregation of the defect and the Prm1 marker, indicating that the model is not caused by a mutation in the PKD1 gene. We conclude that the Han:SPRD-Pkd rat strain is not a genetic model of PKD1.

Animals↗
PubMed2000

Congenital helpless rats as a genetic model for cortex metabolism in depression.

The validity of congenital helplessness as a genetic rat model for human depression was investigated in cortical regions of the rat brain thought to be analogous to those showing abnormalities in human neuroimaging studies. Cortex metabolism was analyzed using quantitative cytochrome oxidase histochemistry. Congenital helpless rats showed changes in frontal and cingulate regions comparable to those that have demonstrated metabolic differences in human depression. Significant metabolic decreases were found in dorsal frontal, medial orbital, and anterior cingulate, whereas a significant increase was found in infraradiata (subgenual) cingulate. The direction of these changes were the same as those seen in human studies. These findings support the validity of congenital helplessness as a model for human depression.

Animals↗
PubMed2002

Application of hierarchical genetic models to Raven and WAIS subtests: a Dutch twin study.

Hierarchical models of intelligence are highly informative and widely accepted. Application of these models to twin data, however, is sparse. This paper addresses the question of how a genetic hierarchical model fits the Wechsler Adult Intelligence Scale (WAIS) subtests and the Raven Standard Progressive test score, collected in 194 18-year-old Dutch twin pairs. We investigated whether first-order group factors possess genetic and environmental variance independent of the higher-order general factor and whether the hierarchical structure is significant for all sources of variance. A hierarchical model with the 3 Cohen group-factors (verbal comprehension, perceptual organisation and freedom-from-distractibility) and a higher-order g factor showed the best fit to the phenotypic data and to additive genetic influences (A), whereas the unique environmental source of variance (E) could be modeled by a single general factor and specifics. There was no evidence for common environmental influences. The covariation among the WAIS group factors and the covariation between the group factors and the Raven is predominantly influenced by a second-order genetic factor and strongly support the notion of a biological basis of g.

Adolescent↗
PubMedDate not supplied

Genetic management of infectious diseases: a heterogeneous epidemio-genetic model illustrated with S. aureus mastitis.

Given that individuals are genetically heterogeneous in their degree of resistance to infection, a model is proposed to formulate appropriate choices that will limit the spread of an infectious disease. The model is illustrated with data on S. aureus mastitis and is based on parameters characterizing the spread of the disease (contact rate, probability of infection after contact, and rate of recovery after infection), the demography (replacement and culling rates) and the genetic composition (degree of relationship and heritability of the disease trait) of the animal population. To decrease infection pressure, it is possible to apply non-genetic procedures that increase the culling (e.g., culling of chronically infected cows) and recovery (e.g., antibiotic therapy) rates of infected cows. But the contribution of the paper is to show that genetic management of infectious disease is also theoretically possible as a control measure complementary to non-genetic actions. Indeed, the probability for an uninfected individual to become infected after contact with an infected one is partially related to their degree of kinship: the more closely they are related, the more likely they are to share identical genes like those associated to the non-resistance to infection. Different prospective genetic management procedures are proposed to decrease the contact rate between infected and uninfected relatives and keep the number of secondary cases generated by one infected animal below 1.

Alleles↗
PubMed2003

Fitting genetic models to twin data with binary and ordered categorical responses: a comparison of structural equation modelling and Bayesian hierarchical models.

We compare Bayesian methodology utilizing free-ware BUGS (Bayesian Inference Using Gibbs Sampling) with the traditional structural equation modelling approach based on another free-ware package, Mx. Dichotomous and ordinal (three category) twin data were simulated according to different additive genetic and common environment models for phenotypic variation. Practical issues are discussed in using Gibbs sampling as implemented by BUGS to fit subject-specific Bayesian generalized linear models, where the components of variation may be estimated directly. The simulation study (based on 2000 twin pairs) indicated that there is a consistent advantage in using the Bayesian method to detect a "correct" model under certain specifications of additive genetics and common environmental effects. For binary data, both methods had difficulty in detecting the correct model when the additive genetic effect was low (between 10 and 20%) or of moderate range (between 20 and 40%). Furthermore, neither method could adequately detect a correct model that included a modest common environmental effect (20%) even when the additive genetic effect was large (50%). Power was significantly improved with ordinal data for most scenarios, except for the case of low heritability under a true ACE model. We illustrate and compare both methods using data from 1239 twin pairs over the age of 50 years, who were registered with the Australian National Health and Medical Research Council Twin Registry (ATR) and presented symptoms associated with osteoarthritis occurring in joints of the hand.

Bayes Theorem↗
PubMed2003

Involvement of 5-HT1A receptors in animal tests of anxiety and depression: evidence from genetic models.

Clinical studies have suggested the involvement of 5-HT1A receptors in anxiety and depressive disorders because partial 5-HT1A receptor agonists such as buspirone are therapeutic. The present review considers evidence from genetic animal models that support a role for 5-HT1A receptors in anxiety-like and depressed-like behavior in animals. Selective breeding for differential hypothermic responses to a selective 5-HT1A receptor agonist led to the development of the high DPAT sensitive (HDS) and low DPAT sensitive (LDS) lines of rats. The HDS rats differ from the LDS rats on several behavioral measures reflective of anxiety or depression, including reduced social interaction, reduced responding in a conflict task and exaggerated immobility in the forced swim test. However, they do not differ from the LDS rats in the elevated plus maze task, which is a commonly used test of anxiety. Nor do the HDS rats exhibit a typical anxiogenic response to the hippocampal administration of the 5-HT1A agonist. Although the HDS rats do exhibit elevations in 5-HT1A receptors in regions of the limbic cortex, it is not clear whether these increases account for the behavioral differences. Paradoxically, 5-HT1A receptor knockout mice also exhibit anxiety-like behavior in the plus maze, open field and conflict tests compared to wild type mice. However, the knockouts exhibited less immobility in the forced swim test than wild type control mice. Recent studies using selective regional reinstatement of the receptor have implicated the postsynaptic 5-HT1A receptors in these changes in anxiety-like behavior. Thus, preliminary evidence from two different types of genetic animal models suggests that anxiety-like behavior can arise if the 5-HT1A receptor function is eliminated or overexpressed. Further study with additional tests of anxiety are needed to confirm this intriguing relationship.

Animals↗
PubMed1996

A molecular genetic model of human bladder cancer pathogenesis.

An understanding of the biological significance of the multiple genetic alterations identified in clinical bladder cancers to the stepwise pathogenesis of the disease is evolving. Alterations in p53 and pRb, products of the chromosomes 17p13 TP53 and 13q14 RB tumor suppressor genes, occur in approximately 50% and approximately 33% of bladder cancers respectively, and are associated with later stage, higher grade disease. p53 and pRb alterations are also known to occur in early stage bladder carcinoma in situ where they are thought to represent a poor prognosis for tumor progression. Allelic loss of genes on 9p21 occurs in approximately 50% of bladder cancers, but whether the only critical gene in this region is the CDKN2/p16 cyclin/CDK inhibitor is at present uncertain. Amplification and/or overexpression of the oncogenes epidermal growth factor receptor and erbB2 are associated with later stage disease. Finally, recent findings generated using in vitro transformation systems with human uroepithelial cells provide strong evidence that loss of genes on 3p, which occurs in approximately 20% of bladder cancers, and/or gain of genes on 20q play an important role in blocking HUC cellular senescence. This latter phenotype should represent a critical step in oncogenesis, as cells that do not senesce can survive to accumulate the multiple genetic alterations associated with invasive and metastatic bladder cancers. Further understanding of the biochemical mechanisms underlying these genetic changes will provide the additional information needed to design better strategies for bladder cancer intervention and treatment.

Chromosome Aberrations↗
PubMed2006

Contrasted polymorphism patterns in a large sample of populations from the evolutionary genetics model Drosophila simulans.

African populations of Drosophila simulans are thought to be ancestral in this model species and are increasingly used for testing general hypotheses in evolutionary genetics. It is often assumed that African populations are more likely to be at a neutral mutation drift equilibrium than other populations. Here we examine population structuring and the demographic profile in nine populations of D. simulans. We surveyed sequence variation in four X-linked genes (runt, sevenless, Sex-lethal, and vermilion) that have been used in a parallel study in the closely related species D. melanogaster. We found that an eastern group of populations from continental Africa and Indian Ocean islands (Kenya, Tanzania, Madagascar, and Mayotte Island) is widespread, shows little differentiation, and has probably undergone demographic expansion. The other two African populations surveyed (Cameroon and Zimbabwe) show no evidence of population expansion and are markedly differentiated from each other as well as from the populations from the eastern group. Two other populations, Europe and Antilles, are probably recent invaders to these areas. The Antilles population is probably derived from Europe through a substantial bottleneck. The history of these populations should be taken into account when drawing general conclusions from variation patterns.

Africa↗
PubMed1975

"Spontaneously" hypertensive mice: a potential genetic model for the study of the relationship between heart size and blood pressure.

Mice selected genetically for high and low blood pressure (BP) were compared with regard to heart weight and heart/body ratios. Two experiments were performed with mice ranging in age from 1.3 to 9 months and 11 to 23 months respectively. In a third experiment C57BL/6J mice were compared to the high and low BP mice. Heart/body ratios and heart weights, adjusted fo body weight via covariance analysis, were significantly greater for the high BP mice, but no Age x BP Genotype interaction was observed. Results were discussed in terms of a possible relationship between heart weight and BP via genetic linkage or pleiotropy. The possibility was also raised that compensatory mechanisms for high blood pressure, e.g., cardiac hypertrophy, may operate very early in development for animals who are hypertensive by virtue of selective breeding for blood pressure extremes.

Age Factors↗
PubMed2006

A genetic model to investigate drug-target interactions at the ribosomal decoding site.

Recent advances in X-ray crystallography have greatly contributed to the understanding of the structural interactions between aminoglycosides and the ribosomal decoding site. Efforts to genetically probe the functional relevance of proposed drug-nucleotide contacts have in part been hampered by the presence of multiple rRNA operons in most bacteria. A derivative of the Gram-positive Mycobacterium smegmatis was rendered single rRNA operon allelic by means of gene inactivation techniques. In this system, genetic manipulation of the single chromosomal rRNA operon results in cells carrying homogeneous populations of mutant ribosomes. An exhaustive mutagenesis study of the ribosomal A site has been performed to define the importance of individual drug-nucleotide contacts. Mutational alterations in the M. smegmatis decoding site are discussed here, comparing the results with those obtained in other organisms. Implications for the selectivity of antimicrobial agents and for the fitness cost of resistance mutations are addressed.

Anti-Bacterial Agents↗
PubMed1984

A genetic model of dental reduction through the probable mutation effect.

A simulation approach is used in order to elucidate the nature of the hypothesized "probable mutation effect" as it applies to dental reduction in man. Computer-generated simulations of the accumulation of mutations in a human gene pool show the results of the proposed model under the influence of various parameters, as well as illustrating the nature of such genetic change through time. This approach supports a polygenic model of the probable mutation effect as a viable hypothesis for an explanation of the dental reduction which has occurred in some human populations over the last 40,000 years.

Humans↗