Microduplication and Microdeletion Syndromes Diagnosed Prenatally Using Single Nucleotide Polymorphism Array.
Irina Ioana IordănescuAndreea CatanaZina Barabas CuzmiciIuliana CheluCristina DragomirMaria MilitaruEmilia SeverinMariela Sanda MilitaruPublished in: Journal of personalized medicine (2024)
We present a series of microdeletion and microduplication syndromes (MMSs) observed in our clinical practice over a three-year period from 2020 to 2023. Microdeletion and microduplication syndromes, characterized by chromosomal deletions or duplications of less than five megabases, pose challenges in terms of diagnosis, especially prenatal and clinical management. Clinically, MMSs encompass a broad spectrum of manifestations, ranging from intellectual disability and developmental delays to congenital anomalies, facial dysmorphisms, and neurobehavioral abnormalities. Notable examples include well-characterized syndromes such as DiGeorge syndrome (22q11.2 deletion), Prader-Willi syndrome (15q11-q13 deletion), and Williams syndrome (7q11 deletion). Our study focuses on the genetic foundations and prenatal ultrasound findings of these syndromes, with an emphasis on cases associated with intellectual disability. Using SNP array technology, we delve into the evolving landscape of diagnostic methods, providing a nuanced understanding of copy number variations (CNVs) and their implications. Prenatal diagnosis allows for the early detection of MMSs, enabling parents and healthcare providers to make informed decisions about the pregnancy and plan for appropriate medical care and interventions. Beyond theoretical considerations, our article bridges the gap between research and practical application by offering insights derived from clinical cases. Through the presentation of specific cases, we aim to contribute valuable data to the broader discourse on MMSs, fostering knowledge exchange and enhancing the medical community's awareness of these complex genetic conditions.
Keyphrases
- intellectual disability
- copy number
- healthcare
- genome wide
- autism spectrum disorder
- mitochondrial dna
- clinical practice
- case report
- pregnant women
- dna methylation
- physical activity
- mental health
- magnetic resonance imaging
- preterm birth
- high throughput
- machine learning
- big data
- soft tissue
- health information
- social media
- artificial intelligence
- mass spectrometry
- pregnancy outcomes
- deep learning