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FISH for Pre-implantation Genetic Diagnosis
Published on: February 23, 2011
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Early noninvasive prenatal paternity testing by targeted fetal DNA analysis
Géraldine Damour1, Karine Baumer1, Hélène Legardeur2
1Unité de Génétique Forensique, Centre Universitaire Romand de Médecine Légale, Centre Hospitalier Universitaire Vaudois et Université de Lausanne, Ch. de Vulliette 4, 1000, Lausanne, Switzerland.
Scientific Reports
|July 26, 2023
Summary
Noninvasive paternity testing is now possible in early pregnancy using deletion/insertion polymorphisms-short tandem repeats (DIP-STR) markers. This method accurately determines paternity from fetal DNA in maternal blood with high reliability.
Area of Science:
- Genetics
- Forensic Science
- Molecular Biology
Background:
- Accurate noninvasive prenatal paternity testing is a significant challenge.
- Detecting cell-free fetal DNA in maternal blood requires sensitive analytical methods.
- Deletion/insertion polymorphisms-short tandem repeats (DIP-STR) have shown potential for analyzing paternally inherited fetal DNA.
Purpose of the Study:
- To validate DIP-STR markers for paternity testing in the first trimester of pregnancy.
- To establish a statistical framework for evaluating paternity using these markers.
- To assess the feasibility of early-term noninvasive prenatal paternity testing.
Main Methods:
- Analysis of 47 DIP-STR markers in 87 pregnancy cases.
- Blood samples collected from seven weeks of gestation onwards.
- Validation of fetal DNA detection and paternity determination methods.
Main Results:
- Fetal DNA detection in the first trimester yielded a low false negative rate of 6%.
- Seven informative DIP-STR markers were sufficient to establish paternity.
- A panel of approximately 40 DIP-STR markers can reliably determine paternity.
Conclusions:
- DIP-STR markers are effective for paternity testing from early pregnancy.
- This novel method offers improved accuracy, reduced costs, and fewer markers compared to existing approaches.
- Noninvasive prenatal paternity testing is feasible and reliable using DIP-STR analysis.
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