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Human Genome Project and the Genetics
of Psoriasis
One of the biggest science news stories
of the new century was the announcement that the Human Genome Project
had completed its task of sequencing the human genome. It was an
announcement that scientific and clinical medicine welcomed—with
cautionary qualifications. While the sequenced human genome is the first
complete map of the genetic makeup of humans, it is a rough draft that
needs to be "cleaned up" and it should not be expected to
immediately lead the way to cures for a host of diseases with a genetic
component.
What are the implications of the human
genome map for people with psoriasis and other diseases with a genetic
component? It may take a while to say with any degree of certainty.
The sequencing of the human genome was
completed in early 2001, providing the first complete "map" of
the genetic makeup of humans. What does this mean for people who have a
disease such as psoriasis that is known to have a genetic component? A
widely shared anticipation (and hope) is that the human genome map will
allow investigators to identify the specific genes associated with
diseases that have a genetic component, in turn providing information to
better understand these diseases and develop specifically targeted
treatments.
Some Surprising Findings
A surprise for the Human Genome Project
investigators and many other scientists was the total number of about
32,000 human genes identified. It was previously believed that humans
carry about 100,000 genes. Although the Human Genome Project map is
acknowledged to be a "rough draft," the current estimate of
most investigators is that the final total of human genes after
"dotting all the i’s and crossing all the t’s" will be
between 32,000 and 40,000.
Genes and Multifactorial Diseases
Many diseases with a genetic component
are already known to involve multiple genes and gene mutations as well
as environmental factors. Psoriasis falls into this category.
So-called single-gene diseases are
different from multi-factor diseases in very important ways:
- In single-gene diseases, mutation in a
single gene is both necessary and sufficient to produce the disease.
Whether or not one "gets" the disease depends heavily on
inheritance patterns and other factors, but genetic risk for the
disease can be assessed.
- In multi-factor (multiple gene plus
environment or other factors) diseases such as psoriasis, variations
in a gene or number of genes may produce a genetic predisposition for
the disease. This physical, biochemical and physiologic makeup may
respond to environmental factors in such a way as to produce the
disease. Gene mutation(s) or variation(s) are often not necessary or
sufficient to explain the clinical response. A tendency for
inheritance within families is observed but the inheritance patterns
are not in a pattern that can be readily assessed for risk [McKusick
VA. Mendelian Inheritance in Man. Baltimore: John Hopkins University
Press, 12th ed.; 1998].
A number of genes involved in psoriasis
are already known or suspected. In order to search the human genome map
for genes involved in multi-factor diseases such as psoriasis,
investigators need a great deal of information that will give them clues
as to where to begin.
- Animal models can provide important
information if investigators can find an animal in which the disease
can be reliably reproduced and/or genes can be "knocked out"
to indicate the relative importance of gene function and products in
producing the disease.
- Epidemiologic data can help establish
genetic patterns in large populations.
Epidemiologic investigations of psoriasis
have supported the genetic predisposition concept. A "family
tendency" for psoriasis has been identified—i.e., a
higher-than-average incidence of psoriasis is found in relatives of
psoriasis patients, although some people with psoriasis have no family
history of the disease. Psoriasis in one or both parents is known to
increase risk for psoriasis in a child. In studies of identical and
fraternal twins, psoriasis is much more likely to appear in both
identical twins than in both fraternal twins. This provides strong
evidence for a hereditary basis for psoriasis.
Candidate genes for involvement in
psoriasis have been identified by various approaches. These studies
indicate a higher-than-expected frequency of certain white cell antigens
(Class 1 human leucocyte antigens or HLAs) on cells of people with
psoriasis and their close relatives. The finding supports inheritability
for psoriasis and suggests that the gene(s) involved in psoriasis may be
on the chromosome that holds genes for HLA. The HLA complex has a
critical role in the immune system. It is involved in the timing, onset
and severity of many diseases in which immune-system dysfunction or
immune system-environmental inter-relationships are suspected.
Of interest, perhaps, is that all of the
current candidate genes are associated with the "adaptive immune
system" of disease-fighting cells (e.g., T cells) and humoral
immunity (e.g., antibodies). The so-called adaptive immune system is a
late development in evolution. Its elegantly complex cellular and
humoral immune protection against disease is not found in older
organisms from which we inherited so much of our genome. The adaptive
immune system may have evolved from the more ancient system known as
"innate immune response," an inflammatory reaction that helps
control infection in its earliest stages. On an evolutionary time scale,
the human immune system may be regarded as a work in progress.
In Summary
The map of the human genome produced by
the Human Genome Project is a tool of enormous importance in the
investigation of human diseases. It will not, of itself, produce
"answers" to advance understanding and treatment of complex,
multifactorial diseases until investigators are able to ask the right
questions. But one can be optimistic. When the Human Genome Project was
undertaken in the 1990s it was anticipated that it would not be
completed until 2003 or later. But with technological advances and a
"can do" spirit, investigators finished the task at least two
years earlier than the most optimistic previous predictions.
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