Identification of Genomic Changes in Families Having Multiple Members With Tumors

Status

Terminated

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT02386241

Enrollment

Registered

2015-03-11

Start date

2015-03-31

Completion date

2019-07-31

Last updated

2024-04-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Glioma

Keywords

brain tumor

Brief summary

This study will compare genomic alterations between the parents and the patients with high-grade glioma.

Detailed description

Genomic changes leading to the formation of brain tumors are slowly being discovered. Despite advances in genomic technology, much analysis is hindered by the lack of control samples that could better delineate genomic alterations leading to disease. The ideal genomic control would be the genetic material of the parents of afflicted individuals. The researchers propose to then compare the genomic material from parents of siblings, both of whom have a diagnosis of a high-grade glioma. Additionally, the researchers will then compare the genomic alterations between the parents and the patients. This analysis will provide an unprecedented insight into genomic level changes that take place between parents and patients that resulted in the formation of a high-grade glioma.

Interventions

OTHERsaliva or blood sample collection

Single saliva or blood sample measuring 10mL for genomic analysis.

Study design

Observational model

FAMILY_BASED

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* 18 years or older. * Family history of brain tumor in first degree relative

Exclusion criteria

* less than 18 years

Design outcomes

Primary

Measure	Time frame	Description
Total genomic sequencing	within 30 days of blood or saliva collection	Researchers will perform total genomic sequencing using next generation sequencing technology to identify common variants associated with familial brain tumors. Upon sequencing of the genomic material, the data analysis will be done using standard statistical methods. We will use bioinformatics tools (high throughput sequencing of genome) to identify genomic changes between parents and patients.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026