ID

45249

Descrição

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.

Link

dbGaP study = phs000279

Palavras-chave

  1. 04/07/2022 04/07/2022 - Chiara Middel
  2. 12/10/2022 12/10/2022 - Adrian Schulz
Titular dos direitos

Stacey Gabriel, Broad Institute, Cambridge, MA, USA

Transferido a

12 de outubro de 2022

DOI

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Licença

Creative Commons BY 4.0

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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
Descrição

pht001435

Subject ID
Descrição

SUBJID

Tipo de dados

string

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

CONSENT

Tipo de dados

text

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

SUBJ_SOURCE

Tipo de dados

text

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

SOURCE_SUBJID

Tipo de dados

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
Tipo
Description | Question | Decode (Coded Value)
Tipo de dados
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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