ID

45648

Beschrijving

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

dbGaP study = phs001271

Trefwoorden

  1. 20-03-23 20-03-23 - Simon Heim
Houder van rechten

Ghislaine Scélo, PhD, International Agency for Research on Cancer (IARC), Lyon, France

Geüploaded op

20 maart 2023

DOI

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Licentie

Creative Commons BY 4.0

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dbGaP phs001271 Pooled Genome-Wide Analysis of Kidney Cancer Risk (KIDRISK)

This subject phenotype table contains subject IDs, age, sex, and study code.

pht006118
Beschrijving

pht006118

Alias
UMLS CUI [1,1]
C3846158
De-identified Subject ID
Beschrijving

SUBJECT_ID

Datatype

text

Alias
UMLS CUI [1,1]
C4684638
UMLS CUI [1,2]
C2348585
Age at onset for cases, at interview for controls from case-control studies, at end of follow-up for cohort controls
Beschrijving

age

Datatype

text

Maateenheden
  • years
Alias
UMLS CUI [1,1]
C0206132
UMLS CUI [1,2]
C1706256
UMLS CUI [1,3]
C0021822
UMLS CUI [1,4]
C0009932
UMLS CUI [1,5]
C0007328
UMLS CUI [1,6]
C1522577
UMLS CUI [1,7]
C0009247
years
Gender of participant
Beschrijving

sex

Datatype

text

Alias
UMLS CUI [1,1]
C0079399
Study code
Beschrijving

study

Datatype

text

Alias
UMLS CUI [1,1]
C2986284

Similar models

This subject phenotype table contains subject IDs, age, sex, and study code.

Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Item Group
pht006118
C3846158 (UMLS CUI [1,1])
SUBJECT_ID
Item
De-identified Subject ID
text
C4684638 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
age
Item
Age at onset for cases, at interview for controls from case-control studies, at end of follow-up for cohort controls
text
C0206132 (UMLS CUI [1,1])
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])
Item
Gender of participant
text
C0079399 (UMLS CUI [1,1])
Code List
Gender of participant
CL Item
Male (1)
C0086582 (UMLS CUI [1,1])
CL Item
Female (2)
C0086287 (UMLS CUI [1,1])
Item
Study code
text
C2986284 (UMLS CUI [1,1])
Code List
Study code
CL Item
CeRePP (1)
CL Item
EPIC (3)
CL Item
IARC K2 (6)
CL Item
COSM/SMC (7)
CL Item
MCCS/ConFIRM (9)
CL Item
Umea (10)

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