ID
45648
Descrição
Principal Investigator: Ghislaine Scélo, PhD, International Agency for Research on Cancer (IARC), Lyon, France MeSH: Carcinoma, Renal Cell,Kidney Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001271 Incidence rates of renal cell carcinoma (RCC) are rising and the latest estimates show that it accounts for over 300,000 cases and 120,000 deaths worldwide each year. Mechanisms underlying RCC occurrence are not fully understood and a large part of the disease heritability remains unexplained. The study aimed at augmenting the size of available RCC genome-wide association studies to increase the statistical power to detect genetic variants associated with the disease. The study includes genome-wide genotyping data from RCC cases (n=2,781) and controls (n=2,526) recruited in Western Europe, Central and Eastern Europe, and Australia.
Link
Palavras-chave
Versões (1)
- 20/03/2023 20/03/2023 - Simon Heim
Titular dos direitos
Ghislaine Scélo, PhD, International Agency for Research on Cancer (IARC), Lyon, France
Transferido a
20 de março de 2023
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 phs001271 Pooled Genome-Wide Analysis of Kidney Cancer Risk (KIDRISK)
This subject phenotype table contains subject IDs, age, sex, and study code.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, subject source, and case control status of the subject for kidney 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 use.
- This subject phenotype table contains subject IDs, age, sex, and study code.
- This sample attributes table contains sample IDs, body site, analyte type, DNA sample whole-genome amplified, tumor status, and name of the center which conducted genotyping.
Similar models
This subject phenotype table contains subject IDs, age, sex, and study code.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, subject source, and case control status of the subject for kidney 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 use.
- This subject phenotype table contains subject IDs, age, sex, and study code.
- This sample attributes table contains sample IDs, body site, analyte type, DNA sample whole-genome amplified, tumor status, and name of the center which conducted genotyping.
C2348585 (UMLS CUI [1,2])
C1706256 (UMLS CUI [1,2])
C0021822 (UMLS CUI [1,3])
C0009932 (UMLS CUI [1,4])
C0007328 (UMLS CUI [1,5])
C1522577 (UMLS CUI [1,6])
C0009247 (UMLS CUI [1,7])