2 resultados para monosomy
em National Center for Biotechnology Information - NCBI
Resumo:
Familial structural rearrangements of chromosomes represent a factor of malformation risk that could vary over a large range, making genetic counseling difficult. However, they also represent a powerful tool for increasing knowledge of the genome, particularly by studying breakpoints and viable imbalances of the genome. We have developed a collaborative database that now includes data on more than 4100 families, from which we have developed a web site called HC Forum® (http://HCForum.imag.fr). It offers geneticists assistance in diagnosis and in genetic counseling by assessing the malformation risk with statistical models. For researchers, interactive interfaces exhibit the distribution of chromosomal breakpoints and of the genome regions observed at birth in trisomy or in monosomy. Dedicated tools including an interactive pedigree allow electronic submission of data, which will be anonymously shown in a forum for discussions. After validation, data are definitively registered in the database with the email of the sender, allowing direct location of biological material. Thus HC Forum® constitutes a link between diagnosis laboratories and genome research centers, and after 1 year, more than 700 users from about 40 different countries already exist.
Resumo:
Locus content maps are derived from monosomic or disomic chromosomes broken by radiation, shearing, or other clastogen, the fragments being distributed among clones by dilution or incorporation into the cells of another species and scored for segregation of markers. Locus content maps provide evidence about radiosensitivity of chromosome regions, support for order, and approximate location. Omission of the most aberrant and least informative clones increases efficiency of localization. Correct analysis must allow for preferential retention of certain sequences, monosomy or polysomy of donor chromosomes, and error filtration. Combination of these refinements extracts substantially more information from fewer clones. Because of unmodeled peculiarities in the data, the best analysis does not recover the physical map but roughly localizes markers that may be monomorphic and therefore unsuitable for linkage mapping. As with linkage for polymorphic loci, distance in the composite map should be confirmed by physical methods.