0 Beoordelingen

ID

45159

Beschrijving

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

Trefwoorden

  1. 30/08/2022 30/08/2022 - Simon Heim
  2. 12/10/2022 12/10/2022 - Adrian Schulz
Houder van rechten

Christopher Haiman, ScD, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA

Geüploaded op

12 de outubro de 2022

DOI

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Licentie

Creative Commons BY 4.0

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    dbGaP phs000306 A Multiethnic GWAS of Prostate Cancer

    Subject ID, consent groups, and subject sources of Japanese, Latino, and African American participants with or without prostate cancer and associated with MEC and non MEC studies.

    pht001908
    Beschrijving

    pht001908

    GENEVA ID
    Beschrijving

    SUBJID

    Datatype

    text

    Alias
    UMLS CUI [1,1]
    C2348585 (Clinical Trial Subject Unique Identifier)
    Consent group
    Beschrijving

    CONSENT

    Datatype

    text

    Alias
    UMLS CUI [1,1]
    C0021430 (Informed Consent)
    UMLS CUI [1,2]
    C1257890 (Population Group)
    SNOMED
    389109008
    LOINC
    LA12078-4
    Defines subject ID name space origin [Coriell]
    Beschrijving

    SUBJ_SOURCE

    Datatype

    string

    Alias
    UMLS CUI [1,1]
    C0518158 (Defines available options)
    UMLS CUI [1,2]
    C2348585 (Clinical Trial Subject Unique Identifier)
    Subject ID
    Beschrijving

    SOURCE_SUBJID

    Datatype

    string

    Alias
    UMLS CUI [1,1]
    C2348585 (Clinical Trial Subject Unique Identifier)

    Similar models

    Subject ID, consent groups, and subject sources of Japanese, Latino, and African American participants with or without prostate cancer and associated with MEC and non MEC studies.

    Name
    Type
    Description | Question | Decode (Coded Value)
    Datatype
    Alias
    Item Group
    pht001908
    SUBJID
    Item
    GENEVA ID
    text
    C2348585 (UMLS CUI [1,1])
    Item
    Consent group
    text
    C0021430 (UMLS CUI [1,1])
    C1257890 (UMLS CUI [1,2])
    Code List
    Consent group
    CL Item
    Subjects did not participate in the study, did not complete a consent document and are included only for the pedigree structure and/or genotype controls, such as HapMap subjects (0)
    CL Item
    Disease-Specific (Cancer, PUB, MDS) (DS-CA-PUB-MDS) (1)
    CL Item
    General Research Use (MDS) (GRU-MDS) (2)
    CL Item
    Disease-Specific (Prostate Cancer) (DS-PC) (3)
    CL Item
    Cancer, Heart Disease, Stroke, Alzheimer Disease, and Diabetes Research and Methods (CHDSADM) (4)
    CL Item
    Health/Medical/Biomedical (PUB, MDS) (HMB-PUB-MDS) (5)
    SUBJ_SOURCE
    Item
    Defines subject ID name space origin [Coriell]
    string
    C0518158 (UMLS CUI [1,1])
    C2348585 (UMLS CUI [1,2])
    SOURCE_SUBJID
    Item
    Subject ID
    string
    C2348585 (UMLS CUI [1,1])

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