The investigators propose to study the genetic changes in patients with familial glioma as the first step in identifying the gene(s) that cause these tumors. With informed consent, DNAs from tumor and non-tumor tissue, histologic sections, pedigrees and detailed clinical information will be acquired for patients with familial gliomas. A genomic screening methodology named 2D genomic scanning will be used. Differences detected between the tumor and normal tissues (blood, fibroblasts) will identify events occurring in the tumoral process. A comparison of the events in familial and sporadic gliomas will outline some of the pathways suspected to be involved both in tumor initiation and progression. Briefly, DNA fragments are amplified with the polymerase-chain-reaction (PCR) from tumor and normal tissue using primers designed to identify 100 to 1000 random sites within the genome. The PCR primers will hybridize throughout the genome and generate a manageable number of short PCR products that are detected by gel electrophoresis and autoradiography. The PCR for both tumor and constitutional tissues are amplified through 20 to 25 cycles to ensure adequate signal but to avoid entering a non-exponential phase of the PCR amplification. The products are radiolabelled and then run on a standard sequencing gel. The single lane containing labelled PCR products is cut out and then overlaid onto a denaturing grading gel with a 10 to 75% grading of denaturant. The labelled DNA is then separated in the second dimension and the DNA is detected by Southern Transfer to nylon membrane or by gel-drying and direct exposure film. A direct comparison of PCR signals from the tumor and constitutional tissue identifies the loss or gain of signal which reflects the same phenomena within the genome. The isolation and characterization of fragment consistently altered in gliomas will provide the first step in the search for genes responsible in the initiation and progression of gliomas. Because of the collaboration among investigators of different centres in Canada, the current investigators have a unique opportunity to perform the study on the largest collection of familial gliomas in the world. They expect several genomic abnormalities in each tumor. Some of these may be seen in several patients. Data will be analyzed primarily using descriptive statistics, with frequency of genetic abnormalities at different chromosomal locations described.