NCT03225183

Brief Summary

Background: The Framingham Heart Study (FHS) was initiated by the U.S Public Health Service in 1948 and turned over to the newly established National Heart Institute in 1951. The FHS is now jointly led by the National Heart, Lung, and Blood Institute and Boston University. The FHS currently studies risk factors, and the genetics of heart and blood vessel disease, and other health conditions in three generations of study participants. Scientists want to use the data collected from this study to do more research. They want to use a technique that determines the sequence of ribonucleic acid (RNA) molecules. Objective: To study genes related to certain diseases and health conditions. These include heart and blood vessel diseases, lung and blood diseases, stroke, memory loss, and cancer. Eligibility: People in the FHS Third Generation cohort who already attended exam 2. Design: Researchers will study samples that have already been collected in the FHS. There will be no active examination or burden to participants. During FHS visits, participants gave blood samples. They gave permission for the blood to be used for genetic research. RNA will be generated from the samples. They will be given a new ID separate from any personal data. They will be stored in a secure FHS lab. The samples will be analyzed. Only certified researchers can access them. No study participants will be contacted in relation to this project. ...

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,700

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jul 2017

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 14, 2017

Completed
6 days until next milestone

First Submitted

Initial submission to the registry

July 20, 2017

Completed
1 day until next milestone

First Posted

Study publicly available on registry

July 21, 2017

Completed
1.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 15, 2019

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 17, 2019

Completed
Last Updated

June 15, 2022

Status Verified

June 1, 2022

Enrollment Period

1.7 years

First QC Date

July 20, 2017

Last Update Submit

June 14, 2022

Conditions

Keywords

TOPMedBlood PressureLong Noncoding RNAGene ExpressionMicroRNANatural History

Outcome Measures

Primary Outcomes (3)

  • 1. To relate transcriptomic variation to CVD and its risk factors (blood pressure, lipids, glycemia, adiposity, smoking, and alcohol), including evaluating RNAs as biomarkers of risk and establishing causation via Mendelian randomization

    Will look at CVD events related to RNA sequence. a. Characterize the relation of protein-coding gene expression to CVD and its risk factors; b. Characterize the relations of lncRNAs to CVD and risk factors; c. Characterize the relations of RNA splicing variation to CVD and its risk factors; d. Characterize the relations of allele-specific expression, and parent-oforigin allele specific expression, to CVD and its risk factors

    Observational

  • 2. To determine the association of genetic sequence variation from whole genome sequencing with gene expression via RNA-seq.

    Will look at CVD events related to RNA sequence and add gene expression results to analysisa. Identify genetic variants associated with expression of protein coding RNAs (eQTLs); b. Identify genetic variants associated with alternative splicing (sQTLS); c. Identify genetic variants associated with expression of lncRNAs

    Observational

  • 3. To relate complex transcriptomic variation to other blood-based omics

    Will look at CVD events related to RNA sequence and add Metabolic profiling data to analysis modela. Determine the association of transcriptomic variation with DNA methylation (methylome); b. Determine the association of transcriptomic variation with circulating protein levels (proteome); c. Determine the association of transcriptomic variation with circulating metabolites (metabolome)

    Observational

Study Arms (1)

1

Framingham Heart Study participants

Eligibility Criteria

Age21 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Framingham Heart Study participants

You may qualify if:

  • To accomplish the Aims of this project we propose to conduct RNA-seq on FHS Third Generation cohort participants with WGS as part of TOPMed. This can only be accomplished in FHS Third Generation cohort participants who attended exam 2 when PaxGene tubes were collected for RNA isolation. Therefore, we propose to conduct RNA-seq on FHS Third Generation cohort exam 2 attendees with PaxGene tubes (total n=3300) and in whom we will have direct or imputed WGS from TOPMed (n=1700).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Framingham Heart Study

Framingham, Massachusetts, 01702, United States

Location

Related Publications (3)

  • Yao C, Chen BH, Joehanes R, Otlu B, Zhang X, Liu C, Huan T, Tastan O, Cupples LA, Meigs JB, Fox CS, Freedman JE, Courchesne P, O'Donnell CJ, Munson PJ, Keles S, Levy D. Integromic analysis of genetic variation and gene expression identifies networks for cardiovascular disease phenotypes. Circulation. 2015 Feb 10;131(6):536-49. doi: 10.1161/CIRCULATIONAHA.114.010696. Epub 2014 Dec 22.

    PMID: 25533967BACKGROUND
  • Huan T, Esko T, Peters MJ, Pilling LC, Schramm K, Schurmann C, Chen BH, Liu C, Joehanes R, Johnson AD, Yao C, Ying SX, Courchesne P, Milani L, Raghavachari N, Wang R, Liu P, Reinmaa E, Dehghan A, Hofman A, Uitterlinden AG, Hernandez DG, Bandinelli S, Singleton A, Melzer D, Metspalu A, Carstensen M, Grallert H, Herder C, Meitinger T, Peters A, Roden M, Waldenberger M, Dorr M, Felix SB, Zeller T; International Consortium for Blood Pressure GWAS (ICBP); Vasan R, O'Donnell CJ, Munson PJ, Yang X, Prokisch H, Volker U, van Meurs JB, Ferrucci L, Levy D. A meta-analysis of gene expression signatures of blood pressure and hypertension. PLoS Genet. 2015 Mar 18;11(3):e1005035. doi: 10.1371/journal.pgen.1005035. eCollection 2015 Mar.

    PMID: 25785607BACKGROUND
  • Joehanes R, Johnson AD, Barb JJ, Raghavachari N, Liu P, Woodhouse KA, O'Donnell CJ, Munson PJ, Levy D. Gene expression analysis of whole blood, peripheral blood mononuclear cells, and lymphoblastoid cell lines from the Framingham Heart Study. Physiol Genomics. 2012 Jan 18;44(1):59-75. doi: 10.1152/physiolgenomics.00130.2011. Epub 2011 Nov 1.

    PMID: 22045913BACKGROUND

MeSH Terms

Conditions

Cardiovascular DiseasesHypertension

Condition Hierarchy (Ancestors)

Vascular Diseases

Study Officials

  • Daniel Levy, M.D.

    National Heart, Lung, and Blood Institute (NHLBI)

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
NIH
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 20, 2017

First Posted

July 21, 2017

Study Start

July 14, 2017

Primary Completion

March 15, 2019

Study Completion

June 17, 2019

Last Updated

June 15, 2022

Record last verified: 2022-06

Locations