ID

45159

Description

Principal Investigator: Christopher Haiman, ScD, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA MeSH: Prostatic Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000306 Multiple GWA studies of prostate cancer conducted in European White populations are ongoing. These studies will continue to have a dramatic impact on our understanding of the contribution of common genetic variation on inter-individual susceptibility to this common cancer. Important questions that will remain unanswered, however, are whether all common risk alleles for prostate cancer will be revealed in studies limited to populations of European ancestry. A comprehensive examination of common genetic variation in men of Japanese, Latino, and African ancestry will be required to understand population differences in disease risk and to reveal the full spectrum of causal alleles that exist in these populations. Further, genetic and environmental diversity is likely to contribute to ethnic heterogeneity of genetic effects. Elucidating gene x gene and gene x environment interactions is also likely to provide knowledge that may be critical for understanding the contribution of genetic susceptibility to racial/ethnic disparities in prostate cancer incidence and for translating the findings from GWA studies into interventions. In this study we plan to undertake a genome-wide association study (GWAS) of prostate cancer in the Multiethnic Cohort (MEC) Study. We propose the following hypotheses: (a) that inherited DNA variation influences risk of prostate cancer; (b) that many of the causal alleles will be outside known "candidate genes" requiring an agnostic, comprehensive search; and (c) that performing this search in a multi-ethnic cohort is more powerful than a study limited to a single population to reveal the full range of causal alleles relevant to the U.S. population. The version 1 release of this dataset will include genotype data for the Japanese and Latino populations in the study. The version 2 release will include data for the African ancestry population along with the Japanese and Latino subjects. The version 3 release will include fully-cleaned genotype data for all three populations. This study is part of the Gene Environment Association Studies initiative (GENEVA, http://www.genevastudy.org) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to prostate cancer through large-scale genome-wide association studies of a well-characterized multi-ethnic cohort. Genotyping was performed at the Broad Institute of MIT and Harvard, a GENEVA genotyping center and at the University of Southern California. Data cleaning and harmonization were performed at the GEI-funded GENEVA Coordinating Center at the University of Washington. As an add-on to this GWAS we performed a targeted re-sequencing of all known prostate cancer risk loci in the samples from the MEC. Sequencing was performed in Dr. Reich's lab at Harvard Medical School.

Link

dbGaP study = phs000306

Keywords

  1. 8/30/22 8/30/22 - Simon Heim
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

Christopher Haiman, ScD, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, 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 phs000306 A Multiethnic GWAS of Prostate Cancer

Body mass index, diet, smoking, drinking, and physical activity of African Americans with or without prostate cancer and associate with MEC study.

pht002081
Description

pht002081

Unique identifier provided by GENEVA coordinating center (CC) for MEC subjects
Description

geneva_id

Data type

text

Alias
UMLS CUI [1,1]
C2348585
Study identifier
Description

study_id

Data type

text

Alias
UMLS CUI [1,1]
C2826693
Self reported race/ethnicity
Description

ethni

Data type

text

Alias
UMLS CUI [1,1]
C0034510
Gender
Description

sex

Data type

text

Alias
UMLS CUI [1,1]
C0079399
Case/control status
Description

status

Data type

text

Alias
UMLS CUI [1,1]
C3274646
Age at entry into cohort (baseline) in 5 year intervals
Description

age_cat

Data type

text

Alias
UMLS CUI [1,1]
C0001779
UMLS CUI [1,2]
C0332257
UMLS CUI [1,3]
C0599755
Age at diagnosis for cancer cases
Description

agedx_cat

Data type

text

Alias
UMLS CUI [1,1]
C1828181
UMLS CUI [1,2]
C0006826
Age at blood draw for controls
Description

ageco_cat

Data type

text

Alias
UMLS CUI [1,1]
C1508224
Body mass index (BMI)
Description

bmi_cat

Data type

text

Alias
UMLS CUI [1,1]
C1305855
Family history of prostate cancer (brother or father) reported at baseline
Description

fh_prca

Data type

text

Alias
UMLS CUI [1,1]
C0241889
UMLS CUI [1,2]
C0600139
Hours per day of moderate or vigorous physical activity, on average, during the past year reported at baseline
Description

pa_cat

Data type

text

Alias
UMLS CUI [1,1]
C0026606
UMLS CUI [1,2]
C0556974
UMLS CUI [1,3]
C1510992
UMLS CUI [1,4]
C4086728
Pack years of smoking (cigarettes) reported at baseline
Description

packyrs_ca

Data type

text

Alias
UMLS CUI [1,1]
C1277691
Alcohol (drinks per day) reported at baseline
Description

ethanol_ca

Data type

text

Alias
UMLS CUI [1,1]
C0001948
UMLS CUI [1,2]
C0001967
UMLS CUI [1,3]
C0439505
Density for lycopene intake (micrograms per 1000 kilocalories per day) reported at baseline
Description

d_lyco_cat

Data type

text

Alias
UMLS CUI [1,1]
C0065331
UMLS CUI [1,2]
C1512806
Percent of calories from fat (%) reported at baseline
Description

p_fat_cat

Data type

text

Alias
UMLS CUI [1,1]
C2362940
Density for calcium intake (milligrams per 1000 kilocalories per day) reported at baseline
Description

d_calc_cat

Data type

text

Alias
UMLS CUI [1,1]
C0489458
Currently smoke? (reported at baseline)
Description

currsmoke

Data type

text

Alias
UMLS CUI [1,1]
C3241966
Ever smoke? (reported at baseline)
Description

eversmoke

Data type

text

Alias
UMLS CUI [1,1]
C3475470
Aggressiveness of disease for prostate cancer cases only: calculated from SEER summary stage and differentiation variables (the latter provides an estimate of gleason grade)
Description

severity

Data type

text

Alias
UMLS CUI [1,1]
C1706256
UMLS CUI [1,2]
C0376358
UMLS CUI [1,3]
C0242638
UMLS CUI [1,4]
C1273607
Provides information re submission of data to the NIH GWAS data repository (dbGaP).
Description

dbgap_stat

Data type

text

Alias
UMLS CUI [1,1]
C1511726
UMLS CUI [1,2]
C2350277

Similar models

Body mass index, diet, smoking, drinking, and physical activity of African Americans with or without prostate cancer and associate with MEC study.

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht002081
geneva_id
Item
Unique identifier provided by GENEVA coordinating center (CC) for MEC subjects
text
C2348585 (UMLS CUI [1,1])
study_id
Item
Study identifier
text
C2826693 (UMLS CUI [1,1])
Item
Self reported race/ethnicity
text
C0034510 (UMLS CUI [1,1])
Code List
Self reported race/ethnicity
CL Item
Black or African American (B)
sex
Item
Gender
text
C0079399 (UMLS CUI [1,1])
status
Item
Case/control status
text
C3274646 (UMLS CUI [1,1])
age_cat
Item
Age at entry into cohort (baseline) in 5 year intervals
text
C0001779 (UMLS CUI [1,1])
C0332257 (UMLS CUI [1,2])
C0599755 (UMLS CUI [1,3])
agedx_cat
Item
Age at diagnosis for cancer cases
text
C1828181 (UMLS CUI [1,1])
C0006826 (UMLS CUI [1,2])
ageco_cat
Item
Age at blood draw for controls
text
C1508224 (UMLS CUI [1,1])
bmi_cat
Item
Body mass index (BMI)
text
C1305855 (UMLS CUI [1,1])
fh_prca
Item
Family history of prostate cancer (brother or father) reported at baseline
text
C0241889 (UMLS CUI [1,1])
C0600139 (UMLS CUI [1,2])
pa_cat
Item
Hours per day of moderate or vigorous physical activity, on average, during the past year reported at baseline
text
C0026606 (UMLS CUI [1,1])
C0556974 (UMLS CUI [1,2])
C1510992 (UMLS CUI [1,3])
C4086728 (UMLS CUI [1,4])
packyrs_ca
Item
Pack years of smoking (cigarettes) reported at baseline
text
C1277691 (UMLS CUI [1,1])
ethanol_ca
Item
Alcohol (drinks per day) reported at baseline
text
C0001948 (UMLS CUI [1,1])
C0001967 (UMLS CUI [1,2])
C0439505 (UMLS CUI [1,3])
d_lyco_cat
Item
Density for lycopene intake (micrograms per 1000 kilocalories per day) reported at baseline
text
C0065331 (UMLS CUI [1,1])
C1512806 (UMLS CUI [1,2])
p_fat_cat
Item
Percent of calories from fat (%) reported at baseline
text
C2362940 (UMLS CUI [1,1])
d_calc_cat
Item
Density for calcium intake (milligrams per 1000 kilocalories per day) reported at baseline
text
C0489458 (UMLS CUI [1,1])
currsmoke
Item
Currently smoke? (reported at baseline)
text
C3241966 (UMLS CUI [1,1])
eversmoke
Item
Ever smoke? (reported at baseline)
text
C3475470 (UMLS CUI [1,1])
severity
Item
Aggressiveness of disease for prostate cancer cases only: calculated from SEER summary stage and differentiation variables (the latter provides an estimate of gleason grade)
text
C1706256 (UMLS CUI [1,1])
C0376358 (UMLS CUI [1,2])
C0242638 (UMLS CUI [1,3])
C1273607 (UMLS CUI [1,4])
dbgap_stat
Item
Provides information re submission of data to the NIH GWAS data repository (dbGaP).
text
C1511726 (UMLS CUI [1,1])
C2350277 (UMLS CUI [1,2])

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