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Medulloblastoma exome sequence analysis
dbGaP
Data Resource:  dbGaP
Point of Contact:  
Yoon-Jae Cho,  
Project

About This Dataset
Medulloblastomas are the most common malignant brain tumors in children. Identifying and understanding the genetic events that drive these tumors is critical for the development of more effective diagnostic, prognostic and therapeutic strategies. Recently, our group and others described distinct molecular subtypes of medulloblastoma based on transcriptional and copy number profiles. Here, we utilized whole exome hybrid capture and Illumina sequencing to identify somatic mutations across the coding regions of 92 primary medulloblastoma/normal pairs.
Core Data Elements
Number of Cases
92
Case Sex
Female (38); Male (54)
Case Age At Diagnosis
Pediatric and Young Adult (<40 years) (92)
Case Race
Not Reported (92)
Case Ethnicity
Not Reported (92)
Case Disease Diagnosis
Medulloblastoma (92)
Case Tumor Site
Not Reported (92)
Additional Data Elements
DBGAP STUDY IDENTIFIER
Grant Information
R01CA105607
Genomic-wide Kinase Sequencing of Pediatric Brain Tumors
R01CA109467
Genomic Analysis of Medulloblastomas
U54HG003067
Large Scale Sequencing and Analysis of Genomes
Published In
https://doi.org/10.1038/nature11329
Charts
Male (54); Female (38)
54Male