ID

45140

Description

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

Keywords

  1. 10/4/22 10/4/22 - Chiara Middel
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

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

Uploaded on

October 12, 2022

DOI

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License

Creative Commons BY 4.0

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dbGaP phs000360 eMERGE Network Combined Dataset

The dataset provides BMI, height, weight data, and age at observation.

pht003253
Description

pht003253

Deidentified Subject/eMERGE ID
Description

SUBJID

Data type

integer

Alias
UMLS CUI [1,1]
C2348585
UMLS CUI [1,2]
C4684638
Subject's weight at enrollment
Description

weight

Data type

text

Measurement units
  • Kilograms
Alias
UMLS CUI [1,1]
C0005910
UMLS CUI [1,2]
C1516879
Kilograms
Subject's height at enrollment
Description

height

Data type

text

Measurement units
  • cm
Alias
UMLS CUI [1,1]
C0005890
UMLS CUI [1,2]
C1516879
cm
Subject's BMI over time
Description

body_mass_index

Data type

text

Measurement units
  • kg/m2
Alias
UMLS CUI [1,1]
C1305855
Age when clinical event recorded in record
Description

age_observation

Data type

text

Measurement units
  • Years
Alias
UMLS CUI [1,1]
C0001779
UMLS CUI [1,2]
C2981425
Years
A database generated unique key created for weight, height, BMI repeated values
Description

visit_number

Data type

integer

Alias
UMLS CUI [1,1]
C0242356
UMLS CUI [1,2]
C1706198
UMLS CUI [1,3]
C0005910
UMLS CUI [1,4]
C0005890
UMLS CUI [1,5]
C1305855

Similar models

The dataset provides BMI, height, weight data, and age at observation.

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht003253
SUBJID
Item
Deidentified Subject/eMERGE ID
integer
C2348585 (UMLS CUI [1,1])
C4684638 (UMLS CUI [1,2])
weight
Item
Subject's weight at enrollment
text
C0005910 (UMLS CUI [1,1])
C1516879 (UMLS CUI [1,2])
height
Item
Subject's height at enrollment
text
C0005890 (UMLS CUI [1,1])
C1516879 (UMLS CUI [1,2])
Item
Subject's BMI over time
text
C1305855 (UMLS CUI [1,1])
Code List
Subject's BMI over time
CL Item
Missing value (.)
CL Item
Not Accessed (NA)
age_observation
Item
Age when clinical event recorded in record
text
C0001779 (UMLS CUI [1,1])
C2981425 (UMLS CUI [1,2])
visit_number
Item
A database generated unique key created for weight, height, BMI repeated values
integer
C0242356 (UMLS CUI [1,1])
C1706198 (UMLS CUI [1,2])
C0005910 (UMLS CUI [1,3])
C0005890 (UMLS CUI [1,4])
C1305855 (UMLS CUI [1,5])

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