ID

45189

Description

Principal Investigator: Philip R. Taylor, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA MeSH: Squamous Cell Carcinoma,Esophageal Cancer,Gastric Cancer https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000361 This project aims to conduct genome-wide association studies (GWAS) in two anatomically different upper gastrointestinal (UGI) cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCCs) and gastric cancers (GCs) and is comprised of Asians (*the "Asian UGI GWAS"*), while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia (*the "Non-Asian UGI GWAS"*). Study participants for the Asian UGI GWAS reported here (Illumina 660W Quad chip) were drawn from 2 studies, the Shanxi Upper Gastrointestinal Cancer Genetics Project (Shanxi) and the Linxian Nutrition Intervention Trial (NIT), a prospective cohort, and included a total of 1898 ESCCs, 1625 GCs, and 2100 controls. For the 2nd phase (8 TaqMan SNPs), additional subjects from Shanxi and NIT as well as subjects from the Shanghai Men's Health Study (SMHS), the Shanghai Women's Health Study (SWHS), and the Singapore Chinese Health Study (SCHS) were also included (217 ESCCs, 615 GCs, 1202 controls). Altogether 2115 ESCCs, 2240 GCs, and 3302 controls were genotyped in this study.

Link

dbGaP study = phs000361

Keywords

  1. 8/19/22 8/19/22 - Simon Heim
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

Philip R. Taylor, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA

Uploaded on

October 12, 2022

DOI

To request one please log in.

License

Creative Commons BY 4.0

Model comments :

You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.

Itemgroup comments for :

Item comments for :


No comments

In order to download data models you must be logged in. Please log in or register for free.

dbGaP phs000361 Genome-Wide Association Studies in Upper Gastrointestinal Cancers (Asian)

Subject ID, study design (cohort, case or control), affection status, gender, and age of participants involved in genome-wide association studies in two anatomically different upper gastrointestinal cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCC) and gastric cancers (GC) and is comprised of Asians, while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia.

  1. StudyEvent: SEV1
    1. Eligibility Criteria
    2. Subject ID, consent group, and affection status of participants involved in genome-wide association studies in two anatomically different upper gastrointestinal cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCC) and gastric cancers (GC) and is comprised of Asians, while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia.
    3. Sample ID and subject ID of participants involved in genome-wide association studies in two anatomically different upper gastrointestinal cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCC) and gastric cancers (GC) and is comprised of Asians, while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia.
    4. Subject ID, study design (cohort, case or control), affection status, gender, and age of participants involved in genome-wide association studies in two anatomically different upper gastrointestinal cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCC) and gastric cancers (GC) and is comprised of Asians, while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia.
pht002223
Description

pht002223

De-identified subject's ID
Description

SUBJID

Data type

string

Alias
UMLS CUI [1,1]
C2346787
UMLS CUI [1,2]
C2348585
Cohort study or case-control study [COHORT, CASE-CONTROL ]
Description

STUDY_DESIGN

Data type

string

Alias
UMLS CUI [1,1]
C3274646
Case or control? [ESCC CASE=Esophageal squamous cell carcinomas, GC CASE=Gastric cancers, CONTROL=Control]
Description

CASE_CONTROL

Data type

string

Alias
UMLS CUI [1,1]
C0009932
UMLS CUI [2,1]
C1706256
UMLS CUI [2,2]
C0279626
UMLS CUI [2,3]
C0024623
Gender of participant [FEMALE, MALE]
Description

SEX

Data type

string

Alias
UMLS CUI [1,1]
C0079399
Age at enrollment in 10 year interval
Description

AGE

Data type

string

Alias
UMLS CUI [1,1]
C0001779

Similar models

Subject ID, study design (cohort, case or control), affection status, gender, and age of participants involved in genome-wide association studies in two anatomically different upper gastrointestinal cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCC) and gastric cancers (GC) and is comprised of Asians, while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia.

  1. StudyEvent: SEV1
    1. Eligibility Criteria
    2. Subject ID, consent group, and affection status of participants involved in genome-wide association studies in two anatomically different upper gastrointestinal cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCC) and gastric cancers (GC) and is comprised of Asians, while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia.
    3. Sample ID and subject ID of participants involved in genome-wide association studies in two anatomically different upper gastrointestinal cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCC) and gastric cancers (GC) and is comprised of Asians, while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia.
    4. Subject ID, study design (cohort, case or control), affection status, gender, and age of participants involved in genome-wide association studies in two anatomically different upper gastrointestinal cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cell carcinomas (ESCC) and gastric cancers (GC) and is comprised of Asians, while the other population has low rates of ESCC and GC and includes non-Asians from the Americas, Europe, and Australia.
Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht002223
SUBJID
Item
De-identified subject's ID
string
C2346787 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
STUDY_DESIGN
Item
Cohort study or case-control study [COHORT, CASE-CONTROL ]
string
C3274646 (UMLS CUI [1,1])
CASE_CONTROL
Item
Case or control? [ESCC CASE=Esophageal squamous cell carcinomas, GC CASE=Gastric cancers, CONTROL=Control]
string
C0009932 (UMLS CUI [1,1])
C1706256 (UMLS CUI [2,1])
C0279626 (UMLS CUI [2,2])
C0024623 (UMLS CUI [2,3])
SEX
Item
Gender of participant [FEMALE, MALE]
string
C0079399 (UMLS CUI [1,1])
AGE
Item
Age at enrollment in 10 year interval
string
C0001779 (UMLS CUI [1,1])

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