Unknown

Dataset Information

Identification of Structural Variation from NGS-Based Non-Invasive Prenatal Testing.


ABSTRACT: Copy number variants (CNVs) are an important type of human genome variation, which play a significant role in evolution contribute to population diversity and human genetic diseases. In recent years, next generation sequencing has become a valuable tool for clinical diagnostics and to provide sensitive and accurate approaches for detecting CNVs. In our previous work, we described a non-invasive prenatal test (NIPT) based on low-coverage massively parallel whole-genome sequencing of total plasma DNA for detection of CNV aberrations ≥600 kbp. We reanalyzed NIPT genomic data from 5018 patients to evaluate CNV aberrations in the Slovak population. Our analysis of autosomal chromosomes identified 225 maternal CNVs (47 deletions; 178 duplications) ranging from 600 to 7820 kbp. According to the C

SUBMITTER: Pos O 

PROVIDER: S-EPMC6769840 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature