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New insights into the genetics of glioblastoma multiforme by familial exome sequencing
Authors:Christina Backes  Christian Harz  Ulrike Fischer  Jana Schmitt  Nicole Ludwig  Britt-Sabina Petersen  Sabine C Mueller  Yoo-Jin Kim  Nadine M Wolf  Hugo A Katus  Benjamin Meder  Rhoikos Furtw?ngler  Andre Franke  Rainer Bohle  Wolfram Henn  Norbert Graf  Andreas Keller  Eckart Meese
Abstract:Glioblastoma multiforme (GBM) is the most aggressive and malignant subtype of human brain tumors. While a family clustering of GBM has long been acknowledged, relevant hereditary factors still remained elusive. Exome sequencing of families offers the option to discover respective genetic factors.We sequenced blood samples of one of the rare affected families: while both parents were healthy, both children were diagnosed with GBM. We report 85 homozygous non-synonymous single nucleotide variations (SNVs) in both siblings that were heterozygous in the parents. Beyond known key players for GBM such as ERBB2, PMS2, or CHI3L1, we identified over 50 genes that have not been associated to GBM so far. We also discovered three accumulative effects potentially adding to the tumorigenesis in the siblings: a clustering of multiple variants in single genes (e.g. PTPRB, CROCC), the aggregation of affected genes on specific molecular pathways (e.g. Focal adhesion or ECM receptor interaction) and genomic proximity (e.g. chr22.q12.2, chr1.p36.33). We found a striking accumulation of SNVs in specific genes for the daughter, who developed not only a GBM at the age of 12 years but was subsequently diagnosed with a pilocytic astrocytoma, a common acute lymphatic leukemia and a diffuse pontine glioma.The reported variants underline the relevance of genetic predisposition and cancer development in this family and demonstrate that GBM has a complex and heterogeneous genetic background. Sequencing of other affected families will help to further narrow down the driving genetic causes for this disease.
Keywords:glioblastoma multiforme  next generation sequencing  bioinformatics
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