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66 La. L. Rev. 33 (2005-2006)
Risk Prediction for Common Diseases

handle is hein.journals/louilr66 and id is 1229 raw text is: Risk Prediction for Common Diseases

Paula W Yoon*
My topic for discussion today is whether the promising field of
genomics is going to allow us to more accurately predict who in
the population is at future risk for common chronic diseases.
Before attempting to answer this question, I will provide some
general background and will then give some specific examples in
the area of heart disease, diabetes, and obesity.
I work in the Office of Genomics and Disease Prevention at the
Centers for Disease Control (CDC) and, like most of CDC, our
focus is on disease prevention. Our office has a crosscutting role,
working with all the programs at CDC to help them integrate
genomics into what they do, whether it is research, policy, or
practice.
The year 2003 was certainly the year of the human genome.
We celebrated the completion of the human genome project and
the fiftieth anniversary of Watson and Crick's discovery of the
double helix structure of DNA.1 One headline claimed, DNA has
changed the world: But now what? That is the big question.
As scientists, we are pretty good at collecting DNA. We can
get DNA from all kinds of body fluids and parts; it is amazing
where we can find DNA.2    Our technology for analyzing DNA,
which now includes whole genome scans and chips, is also
improving immensely, rapidly becoming faster and cheaper.3 But
what does this mean for the health of individuals, families, and
communities?
The work that the scientific community is doing can be thought
of on a continuum, a translation continuum from gene discovery to
tools and processes that can be used to prevent and treat disease.
Along that continuum, there are various research methods that are
used to study genomics. First, there are family studies or linkage
This article is not copyright protected under 17 U.S.C. § 105 (2005).
ScD, MPH, Epidemiologist, Office of Genomics and Disease
Prevention, Centers for Disease Control and Prevention (CDC). This work is
based upon a live presentation made on February 5, 2004 and does not
necessarily reflect events and changes thereafter.
1. Horace F. Judson, The Greatest Surprise for Everyone---Notes on the
50th Anniversary of the Double Helix, 348 New Eng. J. Med. 1712, 1712-14
(2003).
2. Lin Zhang et al., Whole Genome Amplification From a Single Cell:
Implications for Genetic Analysis, 89 Proc. Natl. Acad. Sci. USA 5847, 5847-
51(1992).
3. Alan E. Guttmacher & Francis S. Collins, Genomic Medicine--A
Primer, 347 New Eng. J. Med. 1512, 1512-20 (2002).

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