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At least 37 records · Page 2Linked to original sources

[Genetic and ecological study of aboriginal populations of northeastern Siberia. II. Polymorphic blood systems, immunoglobulin allotypes and other genetic markers in asian eskimos. Genetic structure of Bering sea eskimos].

Blood groups, immunoglobulin allotypes, serum proteins and red cell enzymes were tested in four populations of Asiatic Eskimos. 12 of 16 gene loci studied were found to be polymorphic. Analysis of covariance and variance matrices for gene frequencies of 8 Bering Sea populations revealed major aspects of regional genetic structure. Regression of average heterozygosity on genetic distance from centroid permitted us to interpret it in the light of counterbalancing action of systematic and non-systematic pressure. Analysis of R matrix containing gene frequencies for both Eskimo and Chukchi populations revealed two different clusters - more heterogeneous Eskimo cluster and less heterogeneous Chukchi cluster. Good fit was observed between regional genetic structure, history and geography.

Blood Group Antigens↗

Genetic parameters and genetic trends in the Chinese x European Tiameslan composite pig line. I. Genetic parameters.

Genetic parameters of body weight at 4 (W4w), 8 (W8w) and 22 (W22w) weeks of age, days from 20 to 100 kg (DT), average backfat thickness at 100 kg (ABT), teat number (TEAT), number of good teats (GTEAT), total number of piglets born (TNB), born alive (NBA) and weaned (NW) per litter, and birth to weaning survival rate (SURV) were estimated in the Chinese x European Tiameslan composite line using restricted maximum likelihood methodology applied to a multiple trait animal model. Performance data from a total of 4 881 males and 4 799 females from 1 341 litters were analysed. Different models were fitted to the data in order to estimate the importance of maternal effects on production traits, as well as genetic correlations between male and female performance. The results showed the existence of significant maternal effects on W4w, W8w and ABT and of variance heterogeneity between sexes for W22w, DT, ABT and GTEAT. Genetic correlations between sexes were 0.79, 0.71 and 0.82, respectively, for W22w, DT and ABT and above 0.90 for the other traits. Heritability estimates were larger than (ABT and TEAT) or similar to (other traits) average literature values. Some genetic antagonism was evidenced between production traits, particularly W4w, W8w and ABT, and reproductive traits.

Journal Article↗

Genetics of Kidneys in Diabetes (GoKinD) study: a genetics collection available for identifying genetic susceptibility factors for diabetic nephropathy in type 1 diabetes.

The Genetics of Kidneys in Diabetes (GoKinD) study is an initiative that aims to identify genes that are involved in diabetic nephropathy. A large number of individuals with type 1 diabetes were screened to identify two subsets, one with clear-cut kidney disease and another with normal renal status despite long-term diabetes. Those who met additional entry criteria and consented to participate were enrolled. When possible, both parents also were enrolled to form family trios. As of November 2005, GoKinD included 3075 participants who comprise 671 case singletons, 623 control singletons, 272 case trios, and 323 control trios. Interested investigators may request the DNA collection and corresponding clinical data for GoKinD participants using the instructions and application form that are available at http://www.gokind.org/access. Participating scientists will have access to three data sets, each with distinct advantages. The set of 1294 singletons has adequate power to detect a wide range of genetic effects, even those of modest size. The set of case trios, which has adequate power to detect effects of moderate size, is not susceptible to false-positive results because of population substructure. The set of control trios is critical for excluding certain false-positive results that can occur in case trios and may be particularly useful for testing gene-environment interactions. Integration of the evidence from these three components into a single, unified analysis presents a challenge. This overview of the GoKinD study examines in detail the power of each study component and discusses analytic challenges that investigators will face in using this resource.

Adult↗

[The genetics of breast cancer. A genetic dispersion analysis and the genetic heterogeneity of breast cancer].

The multifactorial nature of breast cancer was established based on population and family study, the contribution of genetic factors being 52% (premenopausal--62 and postmenopausal--39%). Genetic heterogeneity of different coefficients of inheritance of breast cancer with the portion of common genes was shown to be 53%. The analysis of breast cancer interaction with other malignant neoplasms revealed that the development of other malignant neoplasms was the result of the influence of partially common genes. On the basis of data obtained in this study, the tables of repeated risk for the relatives have been worked out which may be used for medico-genetic consultations.

Breast Neoplasms↗

[From genetic privacy to the right to genetic data protection. Basic protection of genetic data in Spanish law (regarding SSTC290/2000 and 292/2000, of November 30) (II)]].

In the second part the author examines the repercussions of constitutional case law on the legal protection of genetic information. He then considers the special nature of genetic information and addresses the corresponding need for special treatment thereof in law. A specific model is suggested for the legal status of such information. This model is based on the Spanish Constitution and the European Convention on Human Rights and Biomedicine. The article then casts a critical eye over data protection legislation in Spain (in particular Law 15/1999 of 13 December) concentrating on five principles, four of which are substantive and the fifth procedural: 1) consent; 2) purpose; 3) confidentiality; 4) quality; 5) proportionality. Lastly, the article gives examples of areas in which the model might be applied (for instance in employment contracts, insurance, access to information by family members).

Confidentiality↗

The parkin gene and its phenotype. Italian PD Genetics Study Group, French PD Genetics Study Group and the European Consortium on Genetic Susceptibility in Parkinson's Disease.

Mutations of the parkin gene on chromosome 6 cause autosomal recessive, early onset parkinsonism. This is the most frequent form of monogenic parkinsonism so far identified. The associated phenotypical spectrum encompasses early onset, levodopa-responsive parkinsonism (average onset in the early 30s in Europe), and it overlaps with dopa-responsive dystonia in cases with the earliest onset, and with clinically typical Parkinson's disease in cases with later onset. Despite clinical features, Lewy bodies are not found at autopsy in brains of patients with parkin mutations. The parkin protein possesses ubiquitin ligase activity, which is abolished by the pathogenic mutations.

Age of Onset↗

Identification of spatial genetic boundaries using a multifractal model in human population genetics.

There are two purposes in displaying spatial genetic structure. One is that a visual representation of the variation of the genetic variable should be provided in the contour map. The other is that spatial genetic structure should be reflected by the patterns or the gradients with genetic boundaries in the map. Nevertheless, most conventional interpolation methods, such as Cavalli-Sforza's method in genography, inverse distance-weighted methods, and the Kriging technique, focus only on the first primary purpose because of their arbitrary thresholds marked on the maps. In this paper we present an application of the contour area multifractal model (CAMM) to human population genetics. The method enables the analysis of the geographic distribution of a genetic marker and provides an insight into the spatial and geometric properties of obtained patterns. Furthermore, the CAMM may overcome some of the limitations of other interpolation techniques because no arbitrary thresholds are necessary in the computation of genetic boundaries. The CAMM is built by establishing power law relationships between the area A (> or =rho) in the contour map and the value p itself after plotting these values on a log-log graph. A series of straight-line segments can be fitted to the points on the log-log graph, each representing a power law relationship between the area A (> or =rho) and the cutoff genetic variable value for rho in a particular range. These straight-line segments can yield a group of cutoff values, which can be identified as the genetic boundaries that can classify the map of genetic variable into discrete genetic zones. These genetic zones usually correspond to spatial genetic structure on the landscape. To provide a better understanding of the interest in the CAMM approach, we analyze the spatial genetic structures of three loci (ABO, HLA-A, and TPOX) in China using the CAMM. Each synthetic principal component (SPC) contour map of the three loci is created by using both Han and minority groups data together. These contour maps all present an obvious geographic diversity, which gradually increases from north to south, and show that the genetic differences among populations in different districts of the same nationality are greater than those among different nationalities of the same district. It is surprising to find that both the value of p and the fractal dimension alpha have a clear north to south gradient for each locus, and the same clear boundary between southern and northern Asians in each contour map is still seen in the zone of the Yangtze River, although substantial population migrations have occurred because of war or famine in the last 2,000 or 3,000 years. A clear genetic boundary between Europeans and Asians in each contour map is still seen in northwestern China with a small value of alpha, although the genetic gradient caused by gene flow between Europeans and Asians has tended to show expansion from northwestern China. From the three contour maps another interesting result can be found: The values of alpha north of the Yangtze River are generally less than those south of the Yangtze River. This indicates that the genetic differences among the populations north of the Yangtze River are generally smaller than those in populations south of the Yangtze River.

ABO Blood-Group System↗

Public experiences, knowledge and expectations about medical genetics and the use of genetic information.

OBJECTIVE: The objectives of this study were (1) to explore public experiences, genetic knowledge, expectations of future medical genetic developments, and the attitudes towards the use of genetic information, and (2) to determine whether there are subject characteristics associated with these variables. METHODS: Participants (n = 1,308, age > or = 25 years) of a Dutch consumer panel were sent a questionnaire, specifically designed for this study. RESULTS: Response was 63% (817/1,308). A minority of respondents reported to know someone with a hereditary disease (34%) or to have used a genetic test (8%). Overall, 57% perceived a lack of genetic knowledge. In multivariate analyses, high self-rated knowledge, younger age, having heard of genetic testing, high educational level, female gender, having children living at home, being a health professional, and familiarity with genetic testing were positively associated with genetic knowledge. Future expectations of the consequences of developments in medical genetics varied between the subjects. The great majority expected great benefits for medical practice such as an increasing use of genetic aspects of disease for diagnosis or prevention. One fifth, mainly older people, anticipated a negative impact of genetic developments on society. The results also show that most people are reserved to share their genetic information with others, especially with regard to the wider public domain (e.g. industry and insurers) and employers. Remarkably, respondents were more willing to share their genetic information with scientific researchers (68%) than with their relatives (54%). CONCLUSION: This study suggests that although one fifth anticipates negative consequences of genetic developments, the great majority has high expectations about the increasing use of genetics in prevention, diagnosis and treatment of diseases. In developing educational programmes about genetic innovations in medicine, policymakers will have to take into account pre-existing lay knowledge, views and expectations of different groups of citizens towards these developments.

Adult↗

Perceived genetic knowledge, attitudes towards genetic testing, and the relationship between these among patients with a chronic disease.

OBJECTIVE: Genetics increasingly permeate everyday medicine. When patients want to make informed decisions about genetic testing, they require genetic knowledge. This study examined the genetic knowledge and attitudes of patients with chronic diseases, and the relationship between both. In addition, patients were asked about their preferred source of genetic information. METHODS: Questionnaires were mailed to participants of a nationwide representative sample of patients with chronic diseases in the Netherlands (n = 1916). RESULTS: The response rate was 82% (n = 1496). Perceived genetic knowledge was low, particularly among older and lower educated patients. Attitudes towards genetics were rather positive, especially among younger and higher educated patients. Some concerns were also documented, mainly about the consequences of genetic testing for employment and taking insurance. Patients who perceived to have little knowledge found it difficult to formulate an opinion about genetic testing. Higher levels of genetic knowledge were associated with a more favourable attitude towards genetics. Chronic patients prefer to receive genetic information from their GP. CONCLUSION: Chronic patients are ill prepared when they require genetic knowledge to make decisions regarding the treatment of their disease. This seems to result from a knowledge deficiency rather than from disagreement with the genetic developments. PRACTICE IMPLICATIONS: When chronic patients are in need of information about genetics or genetic testing, their general practitioner should provide this.

Adolescent↗