Copied to clipboard!

A new non-invasive prenatal paternity test based on double nucleotide polymorphisms abates sequencing uncertainties and improves sensitivity

This study presents the development and validation of NEWPAT, a non-invasive prenatal paternity testing (NIPAT) approach based on fetal cell-free DNA (cfDNA) and Double Nucleotide Polymorphisms (DNPs). A targeted amplicon-based NGS panel including 979 markers was applied to genomic DNA, simulated maternal-fetal mixtures, and cfDNA samples from pregnant women and putative fathers. High-depth sequencing data were generated and analyzed to evaluate DNP performance for fetal DNA detection and paternity inference.

Type: Population Genomics
Archive: European Genome-phenome Archive (EGA)

1 Dataset

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000003049	Aligned targeted amplicon sequencing data (Ion AmpliSeq technology) from 42 samples and 2 mixtures, provided as BAM files.		44