Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1994-8-10
pubmed:abstractText
Molecular diagnosis of cystic fibrosis (CF) in the Italian population, based on the detection of the deltaF508 mutation (51.2% of CF chromosomes), provides full informativity for prenatal diagnosis (PDN) in about 28% of families at risk. Identification of the predominant non-deltaF508 mutations allows the characterization of about 70% of CF chromosomes, making approximately 48% of couples fully informative. In families where at least one chromosome remains uncharacterized, allele segregation is still determined using RFLPs closely linked to the CF gene. The recent identification of three polymorphic clusters of dinucleotide repeats (IVS8/GT, IVS17b/TA and IVS17b/CA) led us to evaluate whether their analysis might improve feasibility studies for prenatal diagnosis or heterozygote identification. One hundred nuclear families with a CF child, reflecting the general Italian deltaF508 mutation distribution, were genotyped for the three microsatellites. In this study microsatellite analysis using IVS8/GT and IVS17b/TA allowed the identification of both parental CF chromosomes in 94% of couples; inclusion in the study of the less polymorphic repeat locus, IVS17b/CA, slightly improved this percentage (97%). Hence, a strategy involving primarily the detection of the deltaF508 mutation and secondarily microsatellite analysis makes possible PDN of CF in virtually all Italian CF families.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0009-9163
pubmed:author
pubmed:issnType
Print
pubmed:volume
45
pubmed:geneSymbol
CFTR
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
135-9
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1994
pubmed:articleTitle
Informativity of intragenic microsatellites for carrier detection and prenatal diagnosis of cystic fibrosis in the Italian population.
pubmed:affiliation
Istituto Scientifico H. S. Raffaele, DIBIT, Genoa, Italy.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't