6 research outputs found

    Molecular and clinical analysis of Ellis-van Creveld syndrome in the United Arab Emirates

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    <p>Abstract</p> <p>Background</p> <p>Ellis-van Creveld (EvC) syndrome is an autosomal recessive chondrodysplastic condition with clinical manifestations that include short-limbs and ribs, postaxial polydactyly and dysplastic nails and teeth. In about two thirds of patients, mutations in either <it>EVC </it>or <it>EVC2 </it>genes have been found to be the underlying cause.</p> <p>Methods</p> <p>In this paper, we describe the molecular (DNA sequencing) and clinical analysis of six children diagnosed with EvC from four different families from the United Arab Emirates (UAE).</p> <p>Results</p> <p>All the children had the common clinical and radiological features of this syndrome. However, DNA sequence analysis of the genes shown to be involved (<it>EVC </it>and <it>EVC2</it>) revealed a novel splice site mutation (c.2047-1G>T) in intron 13 of <it>EVC2 </it>gene in one family. In addition, we confirm previous mutational analyses that showed a truncating mutation in exon 13 of <it>EVC </it>gene (c.1813C>T; p.Q605X) in the second family and a single nucleotide deletion (c.981delG; p.K327<it>fs</it>) in exon 8 of <it>EVC2 </it>gene in the third family. No mutations in the exons, splice sites or the promoter regions of either gene have been found in the index case of the fourth family who exhibited "EvC-like" features.</p> <p>Conclusions</p> <p>Given the small population size of UAE, our data illustrates further the molecular heterogeneity observed in EvC patients and excludes the possibility of a common founder effect for this condition in the UAE reflecting the current ethnic diversity of the country.</p

    AENSI Journals Advances in Environmental Biology Measurements and Factors Analysis of Fuzzy Numbers: A Case Study Involvinga Clinical Effect

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    We suggest a new approach to the problem of defuzzificarion. This approach is a knowledge-based approach in that it uses knowledge in terms of root mean square function to help to more intelligently guide the defuzzification process. This approach makes use of a view of the defuzzification process as a kind of clustering problem and uses the basic idea used in the mountain clustering method. The results of Fuzzy quality function deployment also show that reinforcing RMS enablers is necessary to promote elements in the root mean square process for the case hospital during RMS program implementation
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