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1.
Ann N Y Acad Sci ; 1022: 105-12, 2004 Jun.
Article in English | MEDLINE | ID: mdl-15251947

ABSTRACT

Fetal DNA in maternal plasma may represent a source of genetic material for prenatal noninvasive diagnosis of genetic diseases. We evaluated a cohort of physiological pregnancies to determine if fetal DNA can be retrieved at any gestational week in sufficient quantity to be analyzed with advanced mutation detection technologies. We performed fetal DNA quantification by real-time polymerase chain reaction (PCR) on the SRY gene in 356 women sampled from 6 to 40 gestational weeks. Fetal DNA was retrieved at any week. All female fetuses were correctly identified. In 5 of 188 (2.6%) male-bearing pregnancies, no amplification was obtained. For noninvasive testing, complete clearance of fetal DNA after delivery is mandatory. Long-term persistence was not detected in women with previous sons or abortions. These findings confirm that maternal plasma may represent the optimal source of fetal genetic material. For noninvasive diagnosis of genetic diseases, we evaluated microchip technology. The detection limit for a minority allele determined by diluting a mutated DNA into a wild-type plasma sample was 5 genome equivalents, indicating that the test might be applied to the identification of paternally inherited fetal alleles in maternal plasma. The addition of peptide nucleic acids (PNAs) to either the PCR reaction or the chip hybridization mixture allowed approximately 50% inhibition of wild-type allele signals.


Subject(s)
DNA/genetics , Genetic Diseases, Inborn/diagnosis , Oligonucleotide Array Sequence Analysis , Prenatal Diagnosis/methods , Adult , Base Pair Mismatch , Cohort Studies , DNA/blood , Feasibility Studies , Female , Fetal Blood/chemistry , Genes, sry , Globins/genetics , Humans , Male , Polymerase Chain Reaction , Pregnancy , Pregnancy Trimester, First/blood , Pregnancy Trimester, Second/blood , Pregnancy Trimester, Third/blood , Sensitivity and Specificity
3.
Hum Genet ; 109(3): 326-38, 2001 Sep.
Article in English | MEDLINE | ID: mdl-11702214

ABSTRACT

Mutations in the retina-specific ABC transporter (ABCR) gene are responsible for autosomal recessive Stargardt disease (arSTGD). Mutation detection efficiency in ABCR in arSTGD patients ranges between 30% and 66% in previously published studies, because of high allelic heterogeneity and technical limitations of the employed methods. Conditions were developed to screen the ABCR gene by double-gradient denaturing-gradient gel electrophoresis. The efficacy of this method was evaluated by analysis of DNA samples with previously characterized ABCR mutations. This approach was applied to mutation detection in 44 Italian arSTGD patients corresponding to 36 independent genomes, in order to assess the nature and frequency of the ABCR mutations in this ethnic group. In 34 of 36 (94.4%) STGD patients, 37 sequence changes were identified, including 26 missense, six frameshift, three splicing, and two nonsense variations. Among these, 20 had not been previously described. Several polymorphisms were detected in affected individuals and in matched controls. Our findings extend the spectrum of mutations identified in STGD patients and suggest the existence of a subset of molecular defects specific to the Italian population. The identification of at least two disease-associated mutations in four healthy control individuals indicates a higher than expected carrier frequency of variant ABCR alleles in the general population. Genotype-phenotype analysis in our series showed a possible correlation between the nature and location of some mutations and specific ophthalmoscopic features of STGD disease.


Subject(s)
ATP-Binding Cassette Transporters/genetics , Macular Degeneration/genetics , Mutation , ATP-Binding Cassette Transporters/chemistry , Adolescent , Adult , Aged , Alleles , Base Sequence , Case-Control Studies , Child , DNA Mutational Analysis , DNA Primers/genetics , Electrophoresis, Polyacrylamide Gel , Female , Genotype , Humans , Italy , Macular Degeneration/pathology , Male , Middle Aged , Phenotype , Polymorphism, Genetic
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