RNA Sequencing in the Framingham Heart Study Third Generation Cohort Exam 2
An RNA Sequencing Study in the Framingham Heart Study Third Generation Cohort Exam 2
2 other identifiers
observational
1,700
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2017
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 14, 2017
CompletedFirst Submitted
Initial submission to the registry
July 20, 2017
CompletedFirst Posted
Study publicly available on registry
July 21, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 15, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
June 17, 2019
CompletedJune 15, 2022
June 1, 2022
1.7 years
July 20, 2017
June 14, 2022
Conditions
Keywords
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
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
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: 25533967BACKGROUNDHuan 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: 25785607BACKGROUNDJoehanes 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
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Daniel Levy, M.D.
National Heart, Lung, and Blood Institute (NHLBI)
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