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Cell Free Fetal DNA: Noninvasive Prenatal Diagnostic Methods and Applications.

Title: Cell Free Fetal DNA: Noninvasive Prenatal Diagnostic Methods and Applications.
Authors: JAGTAP, MAYURI; GANGURDE, MANASI; PATHADE, PARAG; BAIRAGI, VINOD; AHIRE, OGESH
Source: International Journal of Pharmaceutical Research (09752366); 2020 Supplement1, p688-698, 11p
Subject Terms: Cell-free DNA; Circulating tumor DNA; Prenatal genetic testing; Prenatal diagnosis; Polymerase chain reaction
Abstract: Noninvasive prenatal testing (NIPT) has become possible to identify cell free fetal DNA (cffDNA) in maternal bloodstream. The effective implementation of noninvasive testing into a clinical practice such as fetal sex detection, RhD genotyping and fetal chromosomal aneuploidy detection have been enabled by the technical advances in molecular analysis of fetal DNA (e.g., digital polymerase chain reaction (PCR) and massively parallel sequencing (MPS) in early years. cffDNA technology has significant superiority as difference compared to routine serum sample screening by means of it has high accuracy and sensitivity. Though, cffDNA positive results still need validation by the invasive testing. The main purpose of cell free fetal DNA is to become first priority of NIPT option only due to its high accuracy rate and its safety. The ultimate goal is to develop the reliable method which could eventually swap invasive prenatal testing procedures. In maternal circulation with relatively high concentration the analysis of cell-free fetal DNA in plasma is one of the innovative non-invasive prenatal testing options. Recently Commercial tests for cell-free fetal DNA in maternal blood have become available. This review briefly summarizes the technical aspects of the noninvasive prenatal testing along with analysis of cffDNA and application of it in clinical practice. [ABSTRACT FROM AUTHOR]
: Copyright of International Journal of Pharmaceutical Research (09752366) is the property of Association of Indian Pharmacist and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index