0 Evaluaciones

ID

45140

Descripción

Principal Investigator: Rex Chisholm, PhD, Northwestern University, Evanston, IL, USA MeSH: Electronic Health Records,Hematologic Diseases,Chronic Disease,Anthropometry,Lipids,Diabetic Retinopathy,Hypothyroidism https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000360 The **e**lectronic **M**edical **R**ecords and **Ge**nomics (eMERGE) Network is a consortium of five participating sites (Group Health Seattle, Marshfield Clinic, Mayo Clinic, Northwestern University, and Vanderbilt University) funded by the NHGRI to investigate the use of electronic medical record systems for genomic research. The goal of eMERGE is to conduct genome-wide association studies in approximately 19,000 individuals using EMR-derived phenotypes and DNA from linked Biorepositories. Using electronic phenotyping methods, the consortium used DNA samples from all participating sites to explore the genetic determinants of red cell indices, white blood count (WBC) differential, diabetic retinopathy, height, serum lipid levels, specifically total cholesterol, HDL (high density lipoprotein), LDL (low density lipoprotein), and triglycerides, and autoimmune hypothyroidism as well as using the phenome-wide association study (PheWAS) paradigm to replicate and discover relationships between targeted genotypes with multiple phenotypes. eMERGE led studies for which original genotyping was performed and are included in this merged set: - Genome-Wide Association Study on Cataract and HDL in the Personalized Medicine Research Project Cohort, phs000170 - Development and Use of Network Infrastructure for High-Throughput GWA Studies, phs000234 - Vanderbilt Genome-Electronic Records (VGER) Project: QRS Duration, phs000188 - Northwestern NUgene Project: Type 2 Diabetes, phs000237 - A Genome-Wide Association Study of Peripheral Arterial Disease, phs000203 Sites and participants include: *Vanderbilt University:* BioVU, Vanderbilt's DNA databank, is an enabling resource for exploration of the relationships among genetic variation, disease susceptibility, and variable drug responses, and represents a key first step in moving the emerging sciences of genomics and pharmacogenomics from research tools to clinical practice. BioVU acquires DNA from discarded blood samples collected from routine patient care. The biobank is linked to de-identified clinical data extracted from Vanderbilt's EMR, which forms the basis for phenotype definitions used in genotype-phenotype correlations. *Marshfield Clinic:* The Marshfield Clinic Personalized Medicine Research Project is a population-based biobank in central Wisconsin with more than 20,000 adult subjects who provided written, informed consent to access their medical records and provided a blood sample from which DNA was extracted and plasma and serum stored. In addition to an average of 30 years of medical history data, a questionnaire about environmental exposures, including a detailed food frequency questionnaire, is available to facilitate gene/environment studies. *Northwestern University:* The NUgene Project is a repository with longitudinal medical information from participating patients at affiliated hospitals and outpatient clinics from the Northwestern University Medical Center. Participants' DNA samples are coupled with data from a self-reported questionnaire and continuously updated data from our Electronic Medical Record (EMR) representing actual clinical care events. Northwestern has a state-of-the art, comprehensive inpatient and outpatient EMR system of over 2 million patients. NUgene has broad access to participant data for all outpatient visits as well as inpatient data via a consolidated data warehouse. NUgene participants consent to distribution and use of their coded DNA samples and data for a broad range of genetic research by third-party investigators. *Group Health(GH)/University of Washington (UW):* Aging and Dementia eMERGE study biorepository leverages rich population-based longitudinal data from both electronic medical records and in-depth research data to explore genome wide associations. Participants include Seattle-area members of GH (a large integrated health care system in Washington State) consented and enrolled in 1) the UW Alzheimer's Disease Patient Registry (ADPR) and 2) the Adult Changes in Thought (ACT) study. The ADPR (PI: Eric B. Larson; NIH/NIA U01 AG 006781) is a population-based registry of incident dementia cases designed to identify all new Alzheimer's Disease cases within GH from 1987 to 1996. Medical history, physical, laboratory testing, and neuropsychological testing were performed on all consenting potential cases for determination of dementia status by a consensus conference. The study base of the ADPR population was stable with an attrition rate of less than 1%/year. The ACT study (PI: Eric B. Larson; NIH/NIA U01 AG 006781) is an ongoing community-based cohort study of aging and dementia. The original cohort of 2,581 randomly selected dementia-free members age 65 and older was enrolled in 1994-1996 and expanded by 811 in 2000-2002. Continuous enrollment to maintain a cohort of 2,000 dementia free persons began in 2005. Participants receive biennial assessment including cognitive status determination. The ACT sub-sample is stable; for the original cohort, median enrollment in GH was 19 years prior to joining the ACT study, and 85% of the cohort has ≥10 years of GH enrollment. DNA for the ADPR participants were obtained through a companion study, Genetic Differences in Cases and Controls (PI: Walter Kukull; NIH/NIA R01 AG007584). DNA obtained through both studies were extracted from blood using Gentra Systems Puregene methods. DNA concentration is determined by UV optical density. All samples are checked for quality by 260/280 ratio. For long-term storage, samples are aliquoted and stored at -70°C. *Mayo Clinic:* The Mayo biobank is a disease-specific biobank for vascular diseases including peripheral arterial disease (PAD). PAD patients were identified from individuals referred to the non-invasive vascular laboratory for lower extremity arterial evaluation. Since 1997, laboratory findings have been recorded into an electronic database employing an in-house software package for data archiving and retrieval; this data becomes part of the Mayo EMR. Patients referred to the center with suspected PAD undergo a comprehensive non-invasive evaluation including the ankle-brachial index (ABI) - the ratio of blood pressure measured in the upper arms divided by blood pressure measured at the ankles. Controls subjects are identified from patients referred to the Cardiovascular Health Clinic for stress ECG. The prevalence of PAD in patients with normal exercise capacity who do not have inducible ischemia on the stress ECG, was 1%. Data regarding risk factors for atherosclerosis such as diabetes, dyslipidemia, hypertension, and smoking are ascertained from the EMR.

Link

dbGaP study =phs000360

Palabras clave

  1. 4/10/22 4/10/22 - Chiara Middel
  2. 12/10/22 12/10/22 - Adrian Schulz
Titular de derechos de autor

Rex Chisholm, PhD, Northwestern University, Evanston, IL, USA

Subido en

12 de octubre de 2022

DOI

Para solicitar uno, por favor iniciar sesión.

Licencia

Creative Commons BY 4.0

Comentarios del modelo :

Puede comentar sobre el modelo de datos aquí. A través de las burbujas de diálogo en los grupos de elementos y elementos, puede agregar comentarios específicos.

Comentarios de grupo de elementos para :

Comentarios del elemento para :


    Sin comentarios

    Para descargar modelos de datos, debe haber iniciado sesión. Por favor iniciar sesión o Registrate gratis.

    dbGaP phs000360 eMERGE Network Combined Dataset

    Subject - Sample - Mapping - Sample Use Information.

    pht003252
    Descripción

    pht003252

    Subject ID
    Descripción

    SUBJID

    Tipo de datos

    string

    Alias
    UMLS CUI [1,1]
    C2348585
    Sample ID
    Descripción

    SAMPID

    Tipo de datos

    string

    Alias
    UMLS CUI [1,1]
    C1299222
    Source repository where samples originate
    Descripción

    SAMP_SOURCE

    Tipo de datos

    string

    Alias
    UMLS CUI [1,1]
    C0449416
    UMLS CUI [1,2]
    C3847505
    Sample ID used in the Source Repository
    Descripción

    SOURCE_SAMPID

    Tipo de datos

    string

    Alias
    UMLS CUI [1,1]
    C1299222
    UMLS CUI [1,2]
    C0449416
    UMLS CUI [1,3]
    C3847505
    Indicator if subject was included in the set genotyped using the Illumina 1M BeadChip
    Descripción

    HUMAN_1_M

    Tipo de datos

    string

    Alias
    UMLS CUI [1,1]
    C3146298
    UMLS CUI [1,2]
    C1512693
    UMLS CUI [1,3]
    C1285573
    UMLS CUI [1,4]
    C4687476
    Sample Use
    Descripción

    SAMPLE_USE

    Tipo de datos

    text

    Alias
    UMLS CUI [1,1]
    C1524063
    UMLS CUI [1,2]
    C2347026

    Similar models

    Subject - Sample - Mapping - Sample Use Information.

    Name
    Tipo
    Description | Question | Decode (Coded Value)
    Tipo de datos
    Alias
    Item Group
    pht003252
    SUBJID
    Item
    Subject ID
    string
    C2348585 (UMLS CUI [1,1])
    SAMPID
    Item
    Sample ID
    string
    C1299222 (UMLS CUI [1,1])
    SAMP_SOURCE
    Item
    Source repository where samples originate
    string
    C0449416 (UMLS CUI [1,1])
    C3847505 (UMLS CUI [1,2])
    SOURCE_SAMPID
    Item
    Sample ID used in the Source Repository
    string
    C1299222 (UMLS CUI [1,1])
    C0449416 (UMLS CUI [1,2])
    C3847505 (UMLS CUI [1,3])
    Item
    Indicator if subject was included in the set genotyped using the Illumina 1M BeadChip
    string
    C3146298 (UMLS CUI [1,1])
    C1512693 (UMLS CUI [1,2])
    C1285573 (UMLS CUI [1,3])
    C4687476 (UMLS CUI [1,4])
    Code List
    Indicator if subject was included in the set genotyped using the Illumina 1M BeadChip
    CL Item
    Not included in the 1M set (N)
    CL Item
    Yes part of the 1M set (Y)
    Item
    Sample Use
    text
    C1524063 (UMLS CUI [1,1])
    C2347026 (UMLS CUI [1,2])
    Code List
    Sample Use
    CL Item
    SNP genotypes obtained using standard or custom microarrays (Array_SNP)

    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