ID

45182

Descrição

Principal Investigator: Mark Purdue, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department Health and Human Services, Bethesda, MD, USA MeSH: Carcinoma, Renal Cell,Kidney Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000351 The National Cancer Institute (NCI) genome-wide association study (GWAS) of renal cell carcinoma (RCC) was conducted to investigate common genetic variants associated with RCC risk. The GWAS includes 1,453 RCC cases and 3,531 controls of European background from 4 studies (3 cohort, 1 case-control), scanned using the Illumina InfiniumHumanHap 550, 610 and 660W chips. This project was supported by the Intramural Research Program of the National Institutes of Health and NCI. Data from this GWAS were pooled with those from another GWAS of RCC (2,639 cases and 5,392 controls) conducted in Europe by the International Agency for Research on Cancer and the Centre National de Gènotypage. Findings from this collaboration are described in an upcoming report (Purdue et al. Nature Genetics 2011;43(1):60-65; PMID: 21131975). Only data from the NCI scan are included in this dbGaP submission.

Link

dbGaP study = phs000351

Palavras-chave

  1. 20/08/2022 20/08/2022 - Simon Heim
  2. 12/10/2022 12/10/2022 - Adrian Schulz
Titular dos direitos

Mark Purdue, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department Health and Human Services, Bethesda, MD, USA

Transferido a

12 de outubro de 2022

DOI

Para um pedido faça login.

Licença

Creative Commons BY 4.0

Comentários do modelo :

Aqui pode comentar o modelo. Pode comentá-lo especificamente através dos balões de texto nos grupos de itens e itens.

Comentários do grupo de itens para :

Comentários do item para :

Para descarregar formulários, precisa de ter uma sessão iniciada. Por favor faça login ou registe-se gratuitamente.

dbGaP phs000351 NCI Genome-Wide Association Study of Renal Cell Carcinoma

Eligibility Criteria

Inclusion and exclusion criteria
Descrição

Inclusion and exclusion criteria

Inclusion criteria:
Descrição

Inclusion criteria

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C1512693
Non-Hispanic Caucasian race
Descrição

Non-Hispanic Caucasian race

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C1518424
UMLS CUI [1,3]
C0043157
Adequate consent for GWAS
Descrição

Adequate consent for GWAS

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0021430
Cases: diagnosis of pathologically confirmed renal cancer (International Classification of Diseases for Oncology, Second Edition, Topography C64).
Descrição

Cases: diagnosis of pathologically confirmed renal cancer (International Classification of Diseases for Oncology, Second Edition, Topography C64).

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C1706256
UMLS CUI [1,2]
C1271092
UMLS CUI [1,3]
C0740457

Similar models

Eligibility Criteria

Name
Tipo
Description | Question | Decode (Coded Value)
Tipo de dados
Alias
Item Group
Inclusion and exclusion criteria
Inclusion criteria
Item
Inclusion criteria:
boolean
C1512693 (UMLS CUI [1,1])
Non-Hispanic Caucasian race
Item
Non-Hispanic Caucasian race
boolean
C1512693 (UMLS CUI [1,1])
C1518424 (UMLS CUI [1,2])
C0043157 (UMLS CUI [1,3])
Adequate consent for GWAS
Item
Adequate consent for GWAS
boolean
C1512693 (UMLS CUI [1,1])
C0021430 (UMLS CUI [1,2])
Cases: diagnosis of pathologically confirmed renal cancer (International Classification of Diseases for Oncology, Second Edition, Topography C64).
Item
Cases: diagnosis of pathologically confirmed renal cancer (International Classification of Diseases for Oncology, Second Edition, Topography C64).
boolean
C1706256 (UMLS CUI [1,1])
C1271092 (UMLS CUI [1,2])
C0740457 (UMLS CUI [1,3])

Use este formulário para feedback, perguntas e sugestões de aperfeiçoamento.

Campos marcados com * são obrigatórios.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial