Genes Have "No Clinical Relevance" in Predicting
Disease, Scientists Admit
Monday, November 09, 2009 by: David
Gutierrez, staff writer
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(NaturalNews) Genetic analysis is essentially useless in predicting a
person's risk of cancer, heart attack or other common diseases, according
to a set of commentaries published in the
New England Journal of
Medicine.
The decoding of the human genome in 2003 led to a flood of research into
the contributions that genetic variation might make to the risk of
various chronic diseases that tend to develop late in life, such as
diabetes, heart disease or cancer. Since then, a number of for-profit
companies have begun offering genetic screenings and
disease risk
assessments.
"With only a few exceptions, what the genomics companies are doing
right now is recreational genomics," said David B. Goldstein of Duke
University, author of one of the commentaries. "The information has
little or in many cases no clinical relevance."
A few diseases, such as sickle cell anemia or Tay Sachs disease, can be
caused by a mutation on a single gene. Most diseases, however, are much
more complex, and develop due to an interaction between environmental
factors and the contributions of a variety of
genes.
In order to calculate the genetic contribution to these diseases,
geneticists developed the technique known as genomewide association
study, in which the genomes of groups of healthy people are compared with
the genomes of those with a certain disease. The hope among researchers
has been that this analysis could point out genetic differences between
the groups that might be linked to disease risk.
While genomewide analysis has successfully identified some differences
between the genetic codes of healthy and diseased patients, these
differences provide little information about disease risk. Researchers
expected to find a small number of common genetic variations that were
responsible for each disease. Instead, common gene variants appear to
contribute to disease risk only very marginally.
Goldstein suggests that the genetic component of
chronic
disease risk might arise from a large number of rare genetic
variants, making genetic screening far less helpful in predicting risk.
If only a small number of variants are involved, they might provide
information on the biological pathways that lead to the development of
the disease. If many different variations are implicated, however, this
would tell researchers nothing except that an error in the functioning of
nearly any bodily system can contribute to disease risk.
"In pointing at everything," Goldstein wrote, "genetics
would point at nothing."
Based on the failure of more than 100 genomewide studies -- carried out
on thousands of patients in a number of different countries -- to deliver
useful results, Goldstein suggests that the approach should be abandoned
as a waste of resources. Genomewide analysis is only effective at
uncovering common variations with large effects, Goldstein says.
Discovering rare variants with smaller effects is "beyond the grasp
of the genomewide association studies."
A single genomewide analysis study costs several million dollars to carry
out.
In addition, as more such studies are carried out, each one will deliver
less new information on gene-related disease risk -- a problem of
diminishing returns.
Also writing in the
New England Journal of Medicine, researchers
Peter
Kraft and David
J. Hunter of the Harvard School of Public Health disagree with Goldstein
that the studies are incapable of providing useful data. They agree,
however, that they have provided no clinically useful information to
date.
Kraft and Hunter warned that any risk estimate based on genetic analysis
is likely either too low or too high, because researchers simply do not
have enough information on genetic contribution to disease. Risks that
are calculated as lower than they actually are will likely never be
reported to patients. This means that any genetic risk a patient actually
gets told about is probably an overestimate, and only likely to cause
unnecessary alarm.
Sources for this story include:
www.nytimes.com.
http://www.naturalnews.com/027438_disease_genes_health.html