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Molecular phenotyping of MCA/ID patients to improve diagnosis

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NIAID Data Ecosystem2026-03-11 收录
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https://www.omicsdi.org/dataset/ega/EGAS00001003489
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资源简介:
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.EGA study EGAS00001003489
创建时间:
2019-04-09
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