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Last Updated: Nov 18, 2006 - 12:32:53 PM
Research Article

Genetics Channel
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Latest Research : Genetics

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GATA2 - predicting susceptibility to coronary artery disease
Aug 26, 2006 - 2:15:00 AM, Reviewed by: Dr. Sanjukta Acharya

�We hope that one day it will be possible to use these gene variations to predict who is susceptible to cardiovascular disease," said Jessica J. Connelly, a postdoctoral fellow at the Duke Center for Human Genetics and lead author on the study. "This finding is the
first step before we can develop such a test for use in patients.�


 
Variations in a gene that acts as a switch to turn
on other genes may predispose individuals to heart disease, an international team of researchers led by Duke University Medical Center scientists has discovered. Their report was published in the Open Access journal PLoS Genetics



Further study of this master switch -- a gene called GATA2 -- and the genes it controls may uncover a regulatory network that influences whether a person inherits coronary artery disease, the most common form of heart disease in the Western world, according to
the researchers. The discovery also may lead to development of genetic tests to predict an individual�s risk of developing coronary artery disease, the scientists said.



�We hope that one day it will be possible to use these gene variations to predict who is susceptible to cardiovascular disease," said Jessica J. Connelly, a postdoctoral fellow at the Duke Center for Human Genetics and lead author on the study. "This finding is the
first step before we can develop such a test for use in patients.�



People who know they are at higher risk may be encouraged to take early steps to modify behaviors, such as smoking or consuming foods high in saturated fats, that are known to play a role in promoting heart disease, the scientists said.



The team reports its findings in the August 2006 issue of Public Library of Science (PLoS) Genetics. The research was sponsored by the National Institutes of Health.



Coronary artery disease affects more than 13 million Americans and is one of the nation's leading causes of death. The disease occurs when the arteries supplying blood to the heart become narrowed or clogged by plaque deposits. Left untreated, the disease can completely block the blood flow to the heart, leading to a heart attack.



Coronary artery disease is what scientists call a �complex� genetic
disease � that is, it results from the accumulation of a number of
small genetic changes that influence an individual�s ability to cope
with environmental and biological effects. While risk factors such as
smoking, high blood pressure and high cholesterol are known to
contribute to coronary artery disease, little is known about genes
that render an individual susceptible to developing the disease,
according to the Duke researchers.



�It is extremely difficult to pin down genes associated with a
complex disease such as heart disease,� said Simon G. Gregory, Ph.D.,
assistant professor of medicine at the Duke Center for Human Genetics
and senior investigator on the study.



Two pieces of evidence pointed the researchers' attention to GATA2
as a likely candidate, Gregory said.



In a previous study, the researchers had scanned the entire genome
-- the body's genetic blueprint -- of a group of families with at
least two siblings with early onset coronary artery disease, looking
for regions of �linkage� where DNA variations appeared to be
inherited along with the disease. They found just such a region: a
small section of the long arm of chromosome 3 where GATA2 is located.
Chromosome 3 is one of the 23 pairs of chromosomes that comprise the
human genome.



In a separate study led by David Seo, M.D., assistant professor of
medicine, another group of Duke researchers found that GATA2 was
turned on, or expressed, differently in diseased areas of aorta, the
primary artery supplying the heart, in people with damaged hearts.
This finding suggested that the gene could be involved in
susceptibility to coronary artery disease, the researcher said.



In the current study, the researchers focused on specific gene
variants, called single nucleotide polymorphisms (SNPs), which occur
when a single nucleotide building block in the long strand of DNA is
altered. The researchers sought SNPs that occurred more or less often
in individuals with coronary artery disease than in individuals
without it, as such a link would indicate that these gene variants
were associated with the disease.



The researchers obtained DNA from 3,000 individuals from 1,000
families affected by coronary artery disease, through a collaborative
study, called GENECARD, led by William E. Kraus, M.D., associate
professor of medicine, under way at the Duke Center for Human
Genetics. Using these DNA samples, the researchers scanned the GATA2
gene for SNPs that differed in sequence between individuals with and
without coronary heart disease.



�We identified five SNPs that were significantly associated with
early onset coronary artery disease,� Gregory said.



The researchers then looked for the same SNPs in a separate group of
600 patients with early onset coronary artery disease who had
volunteered to be studied while being examined at the cardiac
catheterization laboratories at Duke University Hospital. The team
identified significant association of two of the same SNPs in this
independent group of patients. This finding, according to the
researchers, validated the suspected link between GATA2 and coronary
artery disease.



�A huge strength of our study is that we used two separate
populations, finding the association between GATA2 and coronary
artery disease in one population and then validating the finding in
another,� Connelly said.



GATA2 is a transcription factor, a master switch that controls when
and where other genes are expressed. According the researchers, the
SNPs identified in this study may change the ability of this
transcription factor to influence the activity of many other genes,
demonstrating how small genetic changes can influence multiple
genetic outcomes.



The researchers said they now can use molecular techniques to look
at where GATA2 acts within the genome to see what other genes also
contribute to cause cardiovascular disease.



�As science progresses in this field, we are compiling a portfolio
of genes that contribute to cardiovascular disease,� Gregory said.



The hope, according to the Duke team, is that this discovery will be
followed by others that eventually will enable scientists to identify
people who are predisposed to developing coronary artery disease long
before they develop any symptoms of the disease.



�What we have found is that changes in GATA2 affect susceptibility
to developing coronary artery disease,� Connelly said. �Eventually,
we hope to create a diagnostic test containing all the genes affected
in cardiovascular disease and use it to identify which SNPs are
present in an individual. This approach will enable us to generate a
profile of risk for developing cardiovascular disease.�



The profile would not say conclusively whether or not a person would
develop coronary heart disease, but could tell individuals whether
they are more or less at risk for developing the disease, Gregory
said.
 

- THE OPEN-ACCESS JOURNAL PLoS Genetics
 

 
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Other researchers participating in the study included Tianyuan Wang,
Julie E. Cox, Carol Haynes, Liyong Wang, Svati H. Shah, David R.
Crosslin, A. Brent Hale, Sarah Nelson, Christopher B. Granger,
Jeffrey M. Vance and Elizabeth R. Hauser of the Duke Center for Human
Genetics; William E. Kraus of the Duke Department of Medicine,
Division of Cardiology; David C. Crossman of the University of
Sheffield, United Kingdom; Jonathan L. Haines of Vanderbilt
University Medical Center in Nashville, Tenn.; Christopher J. H.
Jones of the University of Wales College of Medicine, United Kingdom;
and Pascal J. Goldschmidt-Clermont of the University of Miami

Citation: Connelly JJ, Wang T, Cox JE, Haynes C, Wang L, et al.
(2006) GATA2 is associated with familial early-onset coronary artery
disease. PLoS Genet 2(8): e139. DOI: 10.1371/journal.pgen.0020139


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