51. Non-invasive prenatal diagnosis of single-gene disorders from maternal blood
- Author
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María José Trujillo-Tiebas, Sara Perlado, Carmen Ramos, J. Díaz-Recasens, Javier Plaza Arranz, Marta Rodriguez de Alba, Juan Troyano-Luque, and Ana Bustamante-Aragones
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Genetic Markers ,medicine.medical_specialty ,Prenatal diagnosis ,Disease ,Biology ,Cystic fibrosis ,Pregnancy ,Prenatal Diagnosis ,Genetics ,medicine ,Humans ,Genetic Testing ,Achondroplasia ,Maternal-Fetal Exchange ,Genetic testing ,Fetus ,Rh-Hr Blood-Group System ,medicine.diagnostic_test ,Obstetrics ,Genetic Diseases, Inborn ,DNA ,General Medicine ,medicine.disease ,Fetal Diseases ,Female ,Trisomy - Abstract
Prenatal diagnosis (PD) is available for pregnancies at risk of monogenic disorders. However, PD requires the use of invasive obstetric techniques for fetal-sample collection and therefore, involves a risk of fetal loss. Circulating fetal DNA in the maternal bloodstream is being used to perform non-invasive prenatal diagnosis (NIPD). NIPD is a challenging discipline because of the biological features of the maternal blood sample. Maternal blood is an unequal mixture of small (and fragmented) amounts of fetal DNA within a wide background of maternal DNA. For this reason, initial NIPD studies have been based on the analysis of specific paternally inherited fetal tracts not present in the maternal genome so as to ensure their fetal origin. Following this strategy, different NIPD studies have been carried out, such as fetal-sex assessment for pregnancies at risk of X-linked disorders, RhD determination, and analysis of single-gene disorders with a paternal origin. The study of the paternal mutation can be used for fetal diagnosis of dominant disorders or to more accurately assess the risk of an affected child in case of recessive diseases. Huntington's disease, cystic fibrosis, or achondroplasia are some examples of diseases studied using NIPD. New technologies are opening NIPD to the analysis of maternally inherited fetal tracts. NIPD of trisomy 21 is the latest study derived from the use of next-generation sequencing (NGS).
- Published
- 2012
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