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Updated: Aug 5, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Germline Variants in Centromere Binding Protein 126 Predispose to Glioblastoma
Researchers identified Centrosomal Protein of 126 kDa (CEP126) as a potential genetic cause of familial glioblastoma (GBM). This discovery offers a new avenue for understanding brain tumor development and identifying individuals at higher risk.
Area of Science:
- Genomics
- Cancer Genetics
- Neuro-oncology
Background:
- Glioblastoma (GBM) is the most common primary malignant brain tumor in adults.
- Familial GBM, though rare (5%), often has an unresolved genetic basis, suggesting undiscovered susceptibility genes.
- Studying familial clusters can reveal rare inherited variants with significant biological impact on gliomagenesis.
Purpose of the Study:
- To investigate the genetic underpinnings of familial glioblastoma (GBM) in a multi-generational family.
- To identify shared rare germline variants associated with GBM susceptibility.
- To functionally validate candidate genes involved in gliomagenesis.
Main Methods:
- Whole-genome sequencing was performed on three affected family members (proband and two relatives) and their tumor samples.
- Rare coding variants shared among the family members were identified.
- Candidate genes were functionally interrogated using pooled loss-of-function CRISPR screens in neural progenitor cells (NPCs) and xenograft models.
Main Results:
- 139 candidate genes harboring rare coding variants were identified.
- Functional screens highlighted Centrosomal Protein of 126 kDa (CEP126) as a top hit.
- Disruption of CEP126 significantly enhanced survival and tumorigenicity in neural progenitor cells.
Conclusions:
- The study establishes a framework for investigating rare germline cancer predisposition variants.
- CEP126 is identified as a novel, biologically relevant gene predisposing to glioblastoma.
- Further research into CEP126 is warranted for mechanistic understanding and clinical validation in GBM.
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