ID
45718
Descripción
Principal Investigator: Paul Brennan, PhD, International Agency for Research on Cancer (IARC), Lyon, France MeSH: Head and Neck Neoplasms,Mouth Neoplasms,Pharyngeal Neoplasms,Oropharyngeal Neoplasms,Hypopharyngeal Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001202 Genetic factors play an important role in susceptibility to head and neck cancer and could also explain differences in response to treatment and outcome. The goal of this project is to investigate genetic variation involved in oral and oropharyngeal cancer susceptibility by performing the largest GWAS on these diseases, using a novel genotyping tool specifically designed for cancer studies by the OncoArray Network. This project encompasses data from approximately 6000 oral and pharynx cancer cases and 4000 controls derived from 12 epidemiological studies most of case-control design. The genotyping was centralized at the Center for Inherited Disease Research (CIDR), and the epidemiological data harmonization and analysis were completed at the International Agency for Research on Cancer (IARC). This study was supported by National Institute of Dental and Craniofacial Research (NIDCR) with direct funding to CIDR.
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Versiones (1)
- 22/5/23 22/5/23 - Simon Heim
Titular de derechos de autor
Paul Brennan, PhD, International Agency for Research on Cancer (IARC), Lyon, France
Subido en
22 de mayo de 2023
DOI
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Licencia
Creative Commons BY 4.0
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dbGaP phs001202 OncoArray: Oral and Pharynx Cancer
This sample attributes table contains sample IDs, body site where sample was collected, analyte type, WGA DNA sample, tumor or not, and name of the center which conducted genotyping.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, subject aliases, and case control status of the subject for oral and pharynx cancer.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample aliases and sample use.
- This subject phenotype table contains subject IDs, study agency or university name, cancer case or control status, sex, disease onset age, tumor anatomical site, and continent and country of origin.
- This sample attributes table contains sample IDs, body site where sample was collected, analyte type, WGA DNA sample, tumor or not, and name of the center which conducted genotyping.
Similar models
This sample attributes table contains sample IDs, body site where sample was collected, analyte type, WGA DNA sample, tumor or not, and name of the center which conducted genotyping.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, subject aliases, and case control status of the subject for oral and pharynx cancer.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample aliases and sample use.
- This subject phenotype table contains subject IDs, study agency or university name, cancer case or control status, sex, disease onset age, tumor anatomical site, and continent and country of origin.
- This sample attributes table contains sample IDs, body site where sample was collected, analyte type, WGA DNA sample, tumor or not, and name of the center which conducted genotyping.
C2348585 (UMLS CUI [1,2])
C0370003 (UMLS CUI [1,2])
C1520146 (UMLS CUI [1,3])
C0006826 (UMLS CUI [1,2])
C5575037 (UMLS CUI [1,2])
C1285573 (UMLS CUI [1,3])