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.

Informativity of intragenic microsatellites for carrier detection and prenatal diagnosis of cystic fibrosis in the Italian population / C., Magnani; L., Cremonesi; E., Belloni; M., Ferrari; M., Seia; M. P., Russo; Devoto, Marcella; P., Ronchetto; G., Romeo. - In: CLINICAL GENETICS. - ISSN 0009-9163. - 45:3(1994).

Informativity of intragenic microsatellites for carrier detection and prenatal diagnosis of cystic fibrosis in the Italian population.

DEVOTO, MARCELLA;
1994

Abstract

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.
1994
01 Pubblicazione su rivista::01a Articolo in rivista
Informativity of intragenic microsatellites for carrier detection and prenatal diagnosis of cystic fibrosis in the Italian population / C., Magnani; L., Cremonesi; E., Belloni; M., Ferrari; M., Seia; M. P., Russo; Devoto, Marcella; P., Ronchetto; G., Romeo. - In: CLINICAL GENETICS. - ISSN 0009-9163. - 45:3(1994).
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/497383
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact