0 Evaluaciones

ID

45113

Descripción

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

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000306

Palabras clave

  1. 30/8/22 30/8/22 - Simon Heim
  2. 12/10/22 12/10/22 - Adrian Schulz
Titular de derechos de autor

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

Subido en

30 de agosto de 2022

DOI

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Licencia

Creative Commons BY 4.0

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    dbGaP phs000306 A Multiethnic GWAS of Prostate Cancer

    Eligibility Criteria

    Inclusion and exclusion criteria
    Descripción

    Inclusion and exclusion criteria

    Prostate cancer cases have an invasive prostate cancer diagnosis after (incident) entry into cohort
    Descripción

    Prostate cancer cases have an invasive prostate cancer diagnosis after (incident) entry into cohort

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1,1]
    C1706256 (Clinical Study Case)
    UMLS CUI [1,2]
    C0600139 (Prostate carcinoma)
    SNOMED
    254900004
    UMLS CUI [1,3]
    C0011900 (Diagnosis)
    SNOMED
    439401001
    LOINC
    LP30831-9
    UMLS CUI [1,4]
    C0231290 (Status post)
    SNOMED
    237679004
    UMLS CUI [1,5]
    C1512693 (Inclusion)
    UMLS CUI [1,6]
    C0599755 (Cohort)
    Controls were matched to cases on race/ethnicity, area of residence (California or Hawaii) and age at entry into cohort. Subjects were excluded from control selection if a prevalent (before entry to cohort) diagnosis of prostate cancer was reported on the baseline questionnaire or from the tumor registry.
    Descripción

    Controls were matched to cases on race/ethnicity, area of residence (California or Hawaii) and age at entry into cohort. Subjects were excluded from control selection if a prevalent (before entry to cohort) diagnosis of prostate cancer was reported on the baseline questionnaire or from the tumor registry.

    Tipo de datos

    boolean

    Alias
    UMLS CUI [1,1]
    C1512693 (Inclusion)
    UMLS CUI [1,2]
    C0150103 (MATCHING)
    UMLS CUI [1,3]
    C0009932 (Control Groups)
    UMLS CUI [1,4]
    C1706256 (Clinical Study Case)
    UMLS CUI [1,5]
    C3853635 (Race)
    SNOMED
    103579009
    UMLS CUI [1,6]
    C0237096 (residence)
    UMLS CUI [1,7]
    C0001779 (Age)
    SNOMED
    424144002
    LOINC
    LP28815-6
    UMLS CUI [2,1]
    C0680251 (Exclusion Criteria)
    UMLS CUI [2,2]
    C0009932 (Control Groups)
    UMLS CUI [2,3]
    C0011900 (Diagnosis)
    SNOMED
    439401001
    LOINC
    LP30831-9
    UMLS CUI [2,4]
    C0600139 (Prostate carcinoma)
    SNOMED
    254900004
    UMLS CUI [2,5]
    C0332152 (Before)
    SNOMED
    236874000
    UMLS CUI [2,6]
    C1512693 (Inclusion)
    UMLS CUI [2,7]
    C0599755 (Cohort)
    UMLS CUI [2,8]
    C0034394 (Questionnaires)
    UMLS CUI [2,9]
    C0805443 (Cancer Registry)

    Similar models

    Eligibility Criteria

    Name
    Tipo
    Description | Question | Decode (Coded Value)
    Tipo de datos
    Alias
    Item Group
    Inclusion and exclusion criteria
    Prostate cancer cases have an invasive prostate cancer diagnosis after (incident) entry into cohort
    Item
    Prostate cancer cases have an invasive prostate cancer diagnosis after (incident) entry into cohort
    boolean
    C1706256 (UMLS CUI [1,1])
    C0600139 (UMLS CUI [1,2])
    C0011900 (UMLS CUI [1,3])
    C0231290 (UMLS CUI [1,4])
    C1512693 (UMLS CUI [1,5])
    C0599755 (UMLS CUI [1,6])
    Controls were matched to cases on race/ethnicity, area of residence (California or Hawaii) and age at entry into cohort. Subjects were excluded from control selection if a prevalent (before entry to cohort) diagnosis of prostate cancer was reported on the baseline questionnaire or from the tumor registry.
    Item
    Controls were matched to cases on race/ethnicity, area of residence (California or Hawaii) and age at entry into cohort. Subjects were excluded from control selection if a prevalent (before entry to cohort) diagnosis of prostate cancer was reported on the baseline questionnaire or from the tumor registry.
    boolean
    C1512693 (UMLS CUI [1,1])
    C0150103 (UMLS CUI [1,2])
    C0009932 (UMLS CUI [1,3])
    C1706256 (UMLS CUI [1,4])
    C3853635 (UMLS CUI [1,5])
    C0237096 (UMLS CUI [1,6])
    C0001779 (UMLS CUI [1,7])
    C0680251 (UMLS CUI [2,1])
    C0009932 (UMLS CUI [2,2])
    C0011900 (UMLS CUI [2,3])
    C0600139 (UMLS CUI [2,4])
    C0332152 (UMLS CUI [2,5])
    C1512693 (UMLS CUI [2,6])
    C0599755 (UMLS CUI [2,7])
    C0034394 (UMLS CUI [2,8])
    C0805443 (UMLS CUI [2,9])

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