ID

45249

Description

Principal Investigator: Stacey Gabriel, Broad Institute, Cambridge, MA, USA MeSH: Myocardial Infarction https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000279 The NHLBI "Grand Opportunity" Exome Sequencing Project (GO-ESP), a signature project of the NHLBI Recovery Act investment, was designed to identify genetic variants in coding regions (exons) of the human genome (the "exome") that are associated with heart, lung and blood diseases. These and related diseases that are of high impact to public health and individuals from diverse racial and ethnic groups will be studied. These data may help researchers understand the causes of disease, contributing to better ways to prevent, diagnose, and treat diseases, as well as determine whether to tailor prevention and treatments to specific populations. This could lead to more effective treatments and reduce the likelihood of side effects. GO-ESP is comprised of five collaborative components: 3 cohort consortia - HeartGO, LungGO, and WHISP - and 2 sequencing centers - BroadGO and SeattleGO. In the Grand Opportunities Exome Sequencing Program Early MI Project (GO ESP - EOMI), we are sequencing cases with extremely early-onset MI drawn from 8 cohorts. These cohorts include five hospital or community-based studies that ascertained individuals based on MI status. These include PennCATH, Cleveland Clinic Genebank, Massachusetts General Hospital Premature Coronary Artery Disease Study (MGH-PCAD), Heart Attack Risk in Puget Sound (HARPS), and Translational Research Investigating Underlying Disparities in Myocardial Infarction Patients' Health Status (TRIUMPH). Cases were selected based on MI occurring in men aged ≤50 years and women aged ≤60 years. In addition, early-MI cases are being drawn from three population-cohort studies including the Framingham Heart Study, the Women's Health Initiative, and the Atherosclerosis Risk in Communities Study. MI-free controls are being drawn from five population-based cohort studies including the Framingham Heart Study, the Women's Health Initiative, Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, and the Jackson Heart Study. Controls were selected based on two factors: (1) highest predicted risk for MI based on Framingham risk score; and (2) absence of prevalent or incident MI despite a high predicted risk.

Lien

dbGaP study = phs000279

Mots-clés

  1. 04/07/2022 04/07/2022 - Chiara Middel
  2. 12/10/2022 12/10/2022 - Adrian Schulz
Détendeur de droits

Stacey Gabriel, Broad Institute, Cambridge, MA, USA

Téléchargé le

12 octobre 2022

DOI

Pour une demande vous connecter.

Licence

Creative Commons BY 4.0

Modèle Commentaires :

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dbGaP phs000279 NHLBI GO-ESP: Early-Onset Myocardial Infarction (Broad EOMI)

This data table contains subject IDs, consent information, and subject aliases.

pht001435
Description

pht001435

Subject ID
Description

SUBJID

Type de données

string

Alias
UMLS CUI [1,1]
C2348585
Consent group as determined by DAC
Description

CONSENT

Type de données

text

Alias
UMLS CUI [1,1]
C0021430
Source repository where subjects originate
Description

SUBJ_SOURCE

Type de données

text

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

SOURCE_SUBJID

Type de données

text

Alias
UMLS CUI [1,1]
C2348585
UMLS CUI [1,2]
C0449416
UMLS CUI [1,3]
C3847505

Similar models

This data table contains subject IDs, consent information, and subject aliases.

Name
Type
Description | Question | Decode (Coded Value)
Type de données
Alias
Item Group
pht001435
SUBJID
Item
Subject ID
string
C2348585 (UMLS CUI [1,1])
Item
Consent group as determined by DAC
text
C0021430 (UMLS CUI [1,1])
Code List
Consent group as determined by DAC
CL Item
Disease-Specific (Cardiovascular Disease) (DS-CVD) (1)
C3827346 (UMLS CUI [1,1])
C0007222 (UMLS CUI [1,2])
SUBJ_SOURCE
Item
Source repository where subjects originate
text
C0449416 (UMLS CUI [1,1])
C3847505 (UMLS CUI [1,2])
SOURCE_SUBJID
Item
Subject ID used in the Source Repository
text
C2348585 (UMLS CUI [1,1])
C0449416 (UMLS CUI [1,2])
C3847505 (UMLS CUI [1,3])

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