Identification of autosomal and sex chromosome aneuploidies using next generation sequencing.
Where this comes from
- Record sourced from PubMed, PMID 41838401.
- Also identified by DOI 10.1093/bioinformatics/btag104 and PMC identifier 13032822.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Chromosomal abnormalities, referred to as aneuploidies, occur in approximately 0.3% of live births. While the majority of aneuploidies in humans are incompatible with life, well-characterized exceptions include Down syndrome (47,+21), Patau syndrome (47,+13), Edwards syndrome (47,+18), Turner syndrome (45,X0), Klinefelter syndrome (47,XXY), and triple X syndrome (47,XXX). These chromosomal alterations disrupt gene expression and cellular function, leading to genetic and developmental disorders. With the increasing adoption of next generation sequencing (NGS) in clinical diagnostics, this study aims to explore the potential use of NGS for aneuploidies detection. Using data derived from clinical exomes (CES) and whole exomes (WES) sequencing we have been able to detect autosomal as well as sex chromosome aneuploidies with high specificity. Moreover, we have also been able to identify mosaic aneuploidies proving the high sensibility of this methodological approach. Thus, we present NGS as a cost-effective first line approach to detect chromosomal aneuploidies in routine diagnostic practice. Scripts are available at https://github.com/B-R-I-D-G-E/AneuploidiesStudies.
Medical subject headings
- Aneuploidy
- High-Throughput Nucleotide Sequencing
- Sex Chromosomes
- Sequence Analysis, DNA