Molecular phenotyping of MCA/ID patients to improve diagnosis
De novo structural variants are frequently identified in individuals with neurodevelopmental disorders, but the genes driving their phenotypes are often unknown. In this study we performed Whole Genome Sequencing, RNA-sequencing and ATAC-sequencing on samples of 51 patients with intellectual disability and/or multiple congenital anomalies and their biological parents (when available). The goals of the study were to gain more insights in the molecular consequences of (complex) genomic rearrangements and to improve the genetic diagnosis of patients carrying such rearrangements. Data is divided in four separate datasets based on type of source material and data access restrictions due to consent.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
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 |
---|---|---|---|
EGAD00001004863 | HiSeq X Ten NextSeq 500 | 9 | |
EGAD00001004864 | HiSeq X Ten NextSeq 500 | 15 | |
EGAD00001004865 | HiSeq X Ten | 15 | |
EGAD00001004866 | HiSeq X Ten | 15 |
Publications | Citations |
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Prioritization of genes driving congenital phenotypes of patients with de novo genomic structural variants.
Genome Med 11: 2019 79 |
13 |