ID

45284

Descrizione

Principal Investigator: Stephen Rich, PhD, University of Virginia, Charlottesville, VA, USA MeSH: Myocardial Infarction,Brain Ischemia https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000400 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. HeartGO is a consortium of six well-phenotyped NHLBI cohorts: Atherosclerosis Risk in Communities (ARIC) study, the Coronary Artery Risk Development in Young Adults (CARDIA) study, the Cardiovascular Health Study, the Framingham Heart Study, the Jackson Heart Study, and the Multi-Ethnic Study of Atherosclerosis. Together, these cohorts have provided DNA and phenotype datasets from a diverse cohort of individuals of African-American, Caucasian, Asian, and Hispanic ancestry to be made available for use by qualified investigators in dbGaP. HeartGO investigators will conduct genotype-phenotype analyses for phenotypes related not only to heart disease but with other variables that will be contributed to dbGaP. The HeartGO dataset provides investigators with genotype-phenotype analytic opportunities for traits not only related to heart disease but also associated with ancillary variables that will be contributed to dbGaP, including disease endpoints, risk factors, biomarkers, and subclinical disease measures. The phenotypes planned for investigation as part of the GO-ESP HeartGO project include early-onset myocardial infarction (EOMI), low density lipoprotein (LDL) cholesterol, body mass index/type 2 diabetes (BMI/T2D), blood pressure and ischemic stroke. Results of the proposed analyses as well as relevant replication/follow-up analyses will be reported in peer-reviewed journals. This study phs000400 contains the Cardiovascular Health Study (CHS) subset of GO-ESP/Heart-GO. Additional GO-ESP data is also available via dbGaP.

collegamento

dbGaP study = phs000400

Keywords

  1. 13/10/22 13/10/22 - Dr. Christian Niklas
Titolare del copyright

Stephen Rich, PhD, University of Virginia, Charlottesville, VA, USA

Caricato su

13 ottobre 2022

DOI

Per favore, per richiedere un accesso.

Licenza

Creative Commons BY 4.0

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dbGaP phs000400 NHLBI GO-ESP: Heart Cohorts Exome Sequencing Project (CHS)

Subject - Sample - Mapping

pht002535
Descrizione

pht002535

Alias
UMLS CUI [1,1]
C3846158
Unique participant ID
Descrizione

SUBJID

Tipo di dati

string

Alias
UMLS CUI [1,1]
C2348585
ID for exome data
Descrizione

SAMPID

Tipo di dati

string

Alias
UMLS CUI [1,1]
C3854133
UMLS CUI [1,2]
C1511726
UMLS CUI [1,3]
C0600091
Sample use [SNP_Sequence=SNP genotypes derived from sequence data; WES_SRA=Whole exome sequencing data available through SRA]
Descrizione

SAMPLE_USE

Tipo di dati

text

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

Similar models

Subject - Sample - Mapping

Name
genere
Description | Question | Decode (Coded Value)
Tipo di dati
Alias
Item Group
pht002535
C3846158 (UMLS CUI [1,1])
SUBJID
Item
Unique participant ID
string
C2348585 (UMLS CUI [1,1])
SAMPID
Item
ID for exome data
string
C3854133 (UMLS CUI [1,1])
C1511726 (UMLS CUI [1,2])
C0600091 (UMLS CUI [1,3])
SAMPLE_USE
Item
Sample use [SNP_Sequence=SNP genotypes derived from sequence data; WES_SRA=Whole exome sequencing data available through SRA]
text
C2347026 (UMLS CUI [1,1])
C1524063 (UMLS CUI [1,2])

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