0 Ratings

ID

46003

Description

Principal Investigator: Ruth Loos, PhD, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA MeSH: Cardiovascular Diseases,Obesity,Diabetes Mellitus, Type 2,Glucose,Kidney Failure, Chronic,Cholesterol, HDL,Cholesterol, LDL,Triglycerides,Coronary Disease,Myocardial Infarction,Inflammation,Stroke,Body Height https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000925 The Institute for Personalized Medicine (IPM) Bio*Me* Biobank is a consented, EMR-linked medical care setting biorepository of the Mount Sinai Medical Center (MSMC) drawing from a population of over 70,000 inpatients and 800,000 outpatient visits annually. MSMC serves diverse local communities of upper Manhattan, including Central Harlem (86% African American), East Harlem (88% Hispanic Latino), and Upper East Side (88% Caucasian/white) with broad health disparities. IPM Bio*Me* Biobank populations include 28% African American, 38% Hispanic Latino predominantly of Caribbean origin, 23% Caucasian/White. IPM BioMe Biobank disease burden is reflective of health disparities with broad public health impact. Biobank operations are fully integrated in clinical care processes, including direct recruitment from clinical sites waiting areas and phlebotomy stations by dedicated Biobank recruiters independent of clinical care providers, prior to or following a clinician standard of care visit. Recruitment currently occurs at a broad spectrum of over 30 clinical care sites. This study is part of the Population Architecture using Genomics and Epidemiology (PAGE) study (phs000356).

Link

dbGaP study=phs000925

Keywords

  1. 4/28/24 4/28/24 - Madita Rudolph
Copyright Holder

Ruth Loos, PhD, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA

Uploaded on

April 28, 2024

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 phs000925 PAGE: IPM BioMe Biobank

    Subject ID, gender, age, BMI, weight, and weight of participants involved in the "PAGE: The Charles Bronfman Institute for Personalized Medicine (IPM) BioMe BioBank" project.

    pht006203
    Description

    pht006203

    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
    Subject age
    Description

    age

    Data type

    text

    Measurement units
    • Years
    Alias
    UMLS CUI [1,1]
    C0001779
    Years
    Subject's height
    Description

    height

    Data type

    float

    Measurement units
    • cm
    Alias
    UMLS CUI [1,1]
    C0005890
    cm
    Subject's weight
    Description

    weight

    Data type

    float

    Measurement units
    • kg
    Alias
    UMLS CUI [1,1]
    C0005910
    kg
    Body mass index
    Description

    bmi

    Data type

    float

    Alias
    UMLS CUI [1,1]
    C1305855

    Similar models

    Subject ID, gender, age, BMI, weight, and weight of participants involved in the "PAGE: The Charles Bronfman Institute for Personalized Medicine (IPM) BioMe BioBank" project.

    Name
    Type
    Description | Question | Decode (Coded Value)
    Data type
    Alias
    Item Group
    pht006203
    C3846158 (UMLS CUI [1,1])
    SUBJECT_ID
    Item
    De-identified subject ID
    string
    C4684638 (UMLS CUI [1,1])
    C2348585 (UMLS CUI [1,2])
    Item
    Sex of subject
    text
    C0079399 (UMLS CUI [1,1])
    Code List
    Sex of subject
    CL Item
    Male (1)
    C0086582 (UMLS CUI [1,1])
    CL Item
    Female (2)
    C0086287 (UMLS CUI [1,1])
    CL Item
    Unknown (NA)
    age
    Item
    Subject age
    text
    C0001779 (UMLS CUI [1,1])
    height
    Item
    Subject's height
    float
    C0005890 (UMLS CUI [1,1])
    weight
    Item
    Subject's weight
    float
    C0005910 (UMLS CUI [1,1])
    bmi
    Item
    Body mass index
    float
    C1305855 (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