Family Blood Pressure Program - GENOA

September 29, 2021 updated by: Eric Boerwinkle, The University of Texas Health Science Center, Houston
To localize, identify, and evaluate common polymorphic variation in genes involved in determining interindividual differences in blood pressure (BP) levels and essential hypertension status in three racial groups: African-Americans, Mexican-Americans, and Non-Hispanic Whites. The study consists of a six grant network, which in turn is part of an NHLBI initiative, the Family Blood Pressure Program (FBPP) consisting of four networks.

Study Overview

Detailed Description

BACKGROUND:

Hypertension, a complex disease involving the interplay of genetic and environmental factors, affects an estimated 50 million Americans and is a major predisposing factor for myocardial infarction, vascular disease, stroke, and renal failure. It has been estimated from segregation analysis and twin studies that approximately 45 percent of the interindividual differences in blood pressure are accounted for by genetic differences. The identification of the genes whose variants contribute to high blood pressure will have far-reaching effects on our understanding of the pathophysiology of the circulation and may suggest new preventive measures and rational therapeutic approaches.

One of the principal advantages of the genetic approach is that it identifies primary molecular defects. As a result, it will be possible to stratify the general hypertensive population into subgroups based on genotype and intermediate phenotype and thereby evaluate preventive strategies and therapeutic approaches in more homogeneous groups. In addition, the identification of hypertensive genes also provides the basis for an understanding of the interactions between genes and environmental factors. It is very likely that particular environmental variables exert their effects only in the presence of certain genotypes.

Until recently, the techniques for dissecting the genetic determinants of high blood pressure were not available or were not developed to an extent that would make the Family Blood Pressure Program initiative feasible. However, several recent advances in technology and analytical methods, together with the rapid construction of genetic maps, have substantially improved the chances of detecting these genetic factors.

The concept for the Family Blood Pressure Program was conceived in the Report of the Expert Panel on Genetic Strategies for Heart, Lung, and Blood Diseases. The initiative was approved by the Arteriosclerosis, Hypertension, and Lipid Metabolism Advisory Committee (AHLMAC) in March, 1993. The genetic-epidemiological aspects were approved by the Clinical Applications and Prevention Advisory Committee (CAPAC) in February, 1993. The Request for Applications was released in March, 1994. Awards were made in September, 1995.

DESIGN NARRATIVE:

GENOA, the Genetic Epidemiology Network of Arteriopathy, consists of a network of three field centers and biochemical and genetic core labs to study the common polymorphic genetic variations to determine individual differences in blood pressure and essential hypertension in 1,500 sibling pairs in three racial groups. Linkage analyses are performed using an extensive array of candidate genes and anonymous markers throughout the genome.

Each collaborating investigator is responsible for an essential element of the network: Eric Boerwinkle for genotyping and linkage analyses, Robert Ferrell for genotyping, Craig Hanis for recruiting Mexican-Americans, Richard Hutchinson for recruiting African-Americans, Sharon Kardia for cladistic and prediction analyses and data management, and Stephen Turner for recruiting Non-Hispanic whites and measuring physiologic variables. Between 1995 and 2000, the network carried out five specific aims to localize and characterize the genetic determinants of high blood pressure. Aim 1 used robust sibling pair linkage methods in 500 hypertensive sibling pairs in each racial group (a total of 1,500 sibling pairs) to localize genes influencing interindividual differences in the occurrence of essential hypertension. Aims 2 and 3 took advantage of previously collected blood pressure and intermediate predictor trait data from 1,488 normotensive sibling pairs from the Rochester Family Heart Study to localize genes contributing to essential hypertension. The linkage analyses (Aims 1-3) used both an extensive array of candidate genes and a large number of anonymous markers throughout the genome. Aim 4 used multiple diallelic sequence polymorphisms and cladistic analyses within a linked gene to identify haplotypes for further DNA sequencing in order to identify candidate functional DNA sequence variation contributing to interindividual differences in BP levels and essential hypertension status. Aim 5 evaluated the ability of candidate functional DNA sequence variation to predict essential hypertension status in the three racial groups.

The study was renewed in September 2000 to pursue two lines of investigation. The first was to identify and characterize genes contributing to atherosclerotic coronary heart disease using electron beam computed tomography (EBCT) to quantify coronary artery calcification as a measure of preclinical disease. Robust sibling-pair linkage methods were used to determine whether any of the more than 375 highly polymorphic tandem repeat marker loci spanning the genome were linked to genes influencing EBCT measures of coronary artery calcification in at least 500 GENOA sibships from Rochester, Minnesota. Association analysis was used to determine whether biallelic markers of DNA sequence variation in candidate genes identified by GENOA or others to influence blood pressure level or diagnostic category also influence EBCT measures of coronary artery calcification in at least 500 GENOA participants from Rochester, Minnesota. The second line of investigation extended analytical methods (linkage disequilibrium regression and combinatorial partitioning) to more finely localize positional candidate genes and loci, and to identifying gene-gene and gene-environment interaction effects influencing the measured Family Blood Pressure Program and GENOA phenotypes.

In the next phase of the FBPP extending the study through FY 2008, a major emphasis is placed on making the Program a shared resource for hypertension researchers in the United States and throughout the world. In Aim 1, the intestigators will build, maintain and update a publicly available knowledge-base to facilitate research by non-FBPP investigators on the genetics of hypertension, its risk factors and its complications. In Aim 2, they will use state-of-the-art genetic linkage analysis methods to identify additional linkage regions using subgroups of pedigrees and physiologically relevant combinations of phenotypes that will aid in localizing hypertension genes. In Aim 3, they will use a combination of bioinformatics, a dense array of SNPs, and state-of-the-art data analysis to follow-up regions of interest and identify the underlying hypertension genes. The regions to be followed-up include those identified during the current phase of the FBPP and Aim 2 of this renewal phase. In Aim 4, they will evaluate the hypertension genes identified in Aim 3 for their association with multiple measures reflecting the cardiovascular and renal complications of hypertension, including left ventricular mass and microalbuminuria. It is the long-term goal of the FBPP to have the hypertension genetics community develop a comprehensive picture of the genetic architecture of human hypertension, including its risk factors, complications, and response to treatment.

Study Type

Observational

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

1 second to 100 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

No eligibility criteria

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Eric Boerwinkle, University of Texas
  • Principal Investigator: Robert Ferrell, University of Pittsburgh
  • Principal Investigator: Craig Hanis, University of Texas
  • Principal Investigator: Sharon Kardia, University of Michigan
  • Principal Investigator: Thomas Mosley, University of Mississippi Medical Center
  • Principal Investigator: Stephen Turner, Mayo Clinic

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

September 1, 1995

Primary Completion (Actual)

August 1, 2008

Study Completion (Actual)

August 1, 2008

Study Registration Dates

First Submitted

May 25, 2000

First Submitted That Met QC Criteria

May 25, 2000

First Posted (Estimate)

May 26, 2000

Study Record Updates

Last Update Posted (Actual)

October 1, 2021

Last Update Submitted That Met QC Criteria

September 29, 2021

Last Verified

September 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 1153
  • 5U01HL054481-13 (U.S. NIH Grant/Contract)

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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