ID

45733

Description

Principal Investigator: Jane Figueiredo, PhD, National Institutes of Health, Bethesda, MD, USA MeSH: Colorectal Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001193 Genome-wide association studies (GWAS) of colorectal cancer (CRC) have been instrumental in identifying a number of common susceptibility loci in Non Hispanic (NH)-White populations, and a NCI priority is to extend GWAS findings to other populations to address racial/ethnic disparities in cancer susceptibility. Currently, GWA studies of CRC in NH-Whites, Japanese and African-Americans are ongoing. We propose a complementary study to address this critical research area in Hispanics. Hispanics represent the fastest growing ethnic population in the U.S. and have been largely understudied in terms of genetic susceptibility to cancer. There are noted differences in incidence, survival and mortality in CRC by ethnic/racial groups. Hispanics often present with CRC at a younger age and have a significantly greater incidence of stage IV tumors or metastatic disease compared to NH-Whites. We propose to conduct a large, cost-efficient, population-based GWAS in Hispanics by building upon existing NIH-funded resources, the Colon Cancer Family Registry (Colon CFR) and the Multiethnic Cohort Study (MEC). We plan to recruit 2,500 Hispanic men and women diagnosed with CRC between 01/2008 to present using cancer registries in California, physican referrals and familial referrals. Risk factor/diet questionnaires, pathology reports, Oragene saliva samples (for genotyping), optional blood samples (for genotyping and biometric analysis) and tumor blocks (for MSI testing) will be collected using methodologies developed in the Colon CFR/MEC. Cases of CRC in the MEC (currently 473; anticipated 600 at end) will also be included. Population-based Hispanic individuals without a diagnosis of CRC participating in other GWA studies in the MEC (n=3,900, U01HG004726, Haiman) will be used as controls. We will genotype all 3,100 cases using the Illumina 1M array and use available genotype and epidemiologic data collected on 3,900 controls. Our statistical analyses will include: single-SNP and haplotype effects, gene-environment interactions and heterogeneity by MSI, tumor subtype and family history of CRC. We will replicate findings in a second-stage using CRC cases and controls from Mexico (1,000 cases and 1,000 controls, EU FP7 funding, CHIBCHA, Carvajal-Carmona/Tomlinson). We will also examine heterogeneity of the risk estimates by ethnicity/race by leveraging GWA data on NH-Whites (2,142 cases, 1,909 controls, U01 CA122839, Casey), (4,000 cases, 6,000 NH-White controls, UK-CHIBCHA, Tomlinson), Colombians (2,000 cases and 2,000 controls, CHIBCHA), Japanese (1,000 cases and 1,000 controls) and African-Americans (1,500 cases and 1,500 controls, R01CA126895, Le Marchand). We will genotype replicated significant SNPs in our main and combined analysis in several Hispanic populations (note: studies funded by EU or NIH for data collection but not GWAS), including 800 Puerto Ricans, 2,000 Brazilians, 2,000 Argentineans and 3,000 Spanish/Portuguese, to assess generalizability of findings. We will examine the differences in inflammatory gene transcription dynamics in leukocytes (from blood sample collection) by fatigue level (as assessed from study questionnaire data). This study will have a high impact by addressing the key question of racial/ethnic disparities related to genetic susceptibility to CRC, will provide translational guidelines on biological mechanisms during the cancer survivorship period to increase quality of life among cancer survivors, and will enable further growth and investment into research among Hispanics by providing a resource of genetic data and biospecimens, which is lacking.

Link

dbGaP-study=phs001193

Keywords

  1. 6/1/23 6/1/23 - Chiara Middel
Copyright Holder

Jane Figueiredo, PhD, National Institutes of Health, Bethesda, MD, USA

Uploaded on

June 1, 2023

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 :

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

dbGaP phs001193 Hispanic Colorectal Cancer Study

This subject phenotype table contains subject IDs, sex, colorectal cancer status, age, and study name.

pht005975
Description

pht005975

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

SUBJECT_ID

Data type

string

Alias
UMLS CUI [1,1]
C4684638
UMLS CUI [1,2]
C2348585
Sex of subject
Description

sex

Data type

text

Alias
UMLS CUI [1,1]
C0079399
Colorectal cancer status
Description

status

Data type

text

Alias
UMLS CUI [1,1]
C0009402
UMLS CUI [1,2]
C0449438
Subject age
Description

age

Data type

text

Measurement units
  • years
Alias
UMLS CUI [1,1]
C0001779
years
Study name
Description

study

Data type

text

Alias
UMLS CUI [1,1]
C2348560

Similar models

This subject phenotype table contains subject IDs, sex, colorectal cancer status, age, and study name.

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht005975
C3846158 (UMLS CUI [1,1])
SUBJECT_ID
Item
De-identified Subject ID
string
C4684638 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
sex
Item
Sex of subject
text
C0079399 (UMLS CUI [1,1])
status
Item
Colorectal cancer status
text
C0009402 (UMLS CUI [1,1])
C0449438 (UMLS CUI [1,2])
age
Item
Subject age
text
C0001779 (UMLS CUI [1,1])
Item
Study name
text
C2348560 (UMLS CUI [1,1])
Code List
Study name
CL Item
Hispanic Colorectal Cancer Study (HCCS)
CL Item
Multiethnic Cohort Study (MEC)

Please use this form for feedback, questions and suggestions for improvements.

Fields marked with * are required.

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