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Complex Genetic Disease (complex + genetic_disease)
Selected AbstractsTranscriptional regulation of ASK/Dbf4 in cutaneous melanoma is dependent on E2F1EXPERIMENTAL DERMATOLOGY, Issue 12 2008Sandeep Nambiar Background:, Melanoma is a complex genetic disease, the management of which will require an in-depth understanding of the biology underlying its initiation and progression. Recently, we have reported the differential regulation of a novel gene, namely ASK/Dbf4, in melanoma and suggested upregulation of ASK/Dbf4 as a novel molecular determinant with prognostic relevance that confers a proliferative advantage in cutaneous melanoma. As trans -acting factor binding is fundamental to understand the regulation of gene expression, this study focuses on characterization of the specific transcriptional regulation of ASK/Dbf4 in melanoma. Objective:, We investigated whether ASK/Dbf4 is a transcriptional target of the important cell cycle regulator E2F1 in melanoma. Results:, As evidenced by gel supershift assays on nuclear extracts from various melanoma cell lines (SK-MEL-28, MV3, M13, A375 and BLM), E2F1 bound to the ASK/Dbf4 minimal promoter (MP). In addition, cisplatin-mediated abrogation of E2F1 binding to the ASK/Dbf4 MP resulted in a transcriptional decrease in ASK/Dbf4. Further, the current study also demonstrated that ASK/Dbf4 regulation was refractory to UVB, a well-known risk factor for melanoma. Conclusions:, In summary, our study not only elucidated that ASK/Dbf4, a novel cell survival gene in melanoma was transcriptionally regulated by E2F1, but also that the induction of ASK/Dbf4 was refractory to UVB exposure suggesting that its upregulation was not an early event in melanomagenesis. [source] Alopecia areata in Turkey: demographic and clinical featuresJOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY & VENEREOLOGY, Issue 8 2008A Kavak Abstract Background, Alopecia areata is a complex genetic disease with still many unknown aspects, and many studies have been tried to find some clues about it. Objective, We aimed to investigate the demographic and clinical characteristics of alopecia areata in Turkish patients. Methods, Demographic data, localization, attack number in addition to some parameters such as disease duration, severity, age of onset, family history and ophiasis pattern were evaluated in 539 alopecia areata patients. Results, The male to female ratio was 1.6 : 1. Occipital and beard-moustache areas were mostly affected. Positive family history was noticed in 24.1% of the patients. The age of onset was earlier in women than in men (P = 0.04). Severe forms showed more persistent (, 1 year) disease duration (P = 0.00). Ophiasis was more common in severe, long duration (, 1 year) and early onset (, 18 years) disease (P = 0.00 for all parameters). Childhood alopecia areata (, 18 years) was also associated with long duration of the disease (P = 0.016) and positive family history (P = 0.008) when compared with adult onset (> 18 years) alopecia areata. [source] The etiology of otosclerosis: A combination of genes and environment,THE LARYNGOSCOPE, Issue 6 2010Isabelle Schrauwen MSc Abstract Otosclerosis is a common form of hearing loss characterized by abnormal bone remodeling in the otic capsule. It is a complex genetic disease, caused by a combination of genetic and environmental factors. During the past decade, several attempts have been made to identify factors for otosclerosis. This review provides an overview of the current understanding of the etiology of otosclerosis and describes the genetic and environmental factors that have been implicated in the disease. Environmental factors include fluoride and viral factors, particularly measles. Genetic association studies for otosclerosis have reported several associations of genetic variants that influence the risk of disease, mainly involving bone remodeling pathways, although their individual risk contributions are small. Rare monogenic forms of otosclerosis also exist, which are caused by a mutation in a single gene leading to a clear familial segregation of the disease. Linkage analysis of large otosclerosis families has led to the identification of seven loci, and recently evidence was found that T cell receptor beta is a gene responsible for familial otosclerosis, suggesting an underlying immunological pathway. However, this might also represent an autoimmune process, a hypothesis that is supported by other data as well. In conclusion, a variety of pathways have been identified to be involved in the development of otosclerosis, showing that distinct mechanisms involving both genetic and environmental risk factors can influence and contribute to a similar disease outcome. [source] Multipoint affected sibpair linkage methods for localizing susceptibility genes of complex diseasesGENETIC EPIDEMIOLOGY, Issue 2 2003David V. Glidden Abstract Recently, Liang et al. ([2001] Hum. Hered. 51:64,78) proposed a general multipoint linkage method for estimating the chromosomal position of a putative susceptibility locus. Their technique is computationally simple and does not require specification of penetrance or a mode of inheritance. In complex genetic diseases, covariate data may be available which reflect etiologic or locus heterogeneity. We developed approaches to incorporating covariates into the method of Liang et al. ([2001] Hum. Hered. 51:64,78) with particular attention to exploiting age-at-onset information. The results of simulation studies, and a worked data example using a family data set ascertained through probands with schizophrenia, suggest that utilizing covariate information can yield substantial efficiency gains in localizing susceptibility genes. Genet Epidemiol 24: 107,117, 2003. © 2003 Wiley-Liss, Inc. [source] Issues concerning association studies for fine mapping a susceptibility gene for a complex disease,GENETIC EPIDEMIOLOGY, Issue 4 2001Norman Kaplan Abstract The usefulness of association studies for fine mapping loci with common susceptibility alleles for complex genetic diseases in outbred populations is unclear. We investigate this issue for a battery of tightly linked anonymous genetic markers spanning a candidate region centered around a disease locus, and study the joint behavior of chi-square statistics used to discover and to localize the disease locus. We used simulation methods based on a coalescent process with mutation, recombination, and genetic drift to examine the spatial distribution of markers with large noncentrality parameters in a case-control study design. Simulations with a disease allele at intermediate frequency, presumably representing an old mutation, tend to exhibit the largest noncentrality parameter values at markers near the disease locus. In contrast, simulations with a disease allele at low frequency, presumably representing a young mutation, often exhibit the largest noncentrality parameter values at markers scattered over the candidate region. In the former cases, sample sizes or marker densities sufficient to detect association are likely to lead to useful localization, whereas, in the latter case, localization of the disease locus within the candidate region is much less likely, regardless of the sample size or density of the map. The effects of increasing sample size or marker density are also investigated. Based upon a single marker analysis, we find that a simple strategy of choosing the marker with the smallest associated P value to begin a laboratory search for the disease locus performs adequately for a common disease allele. We also investigated a strategy of pooling nearby sites to form multiple allele markers. Using multiple degree of freedom chi-square tests for two or three nearby sites, we found no clear advantage of this form of pooling over a single marker analysis. Genet. Epidemiol. 20:432,457, 2001. Published by Wiley-Liss, 2001. [source] |