Usenet.com

www.Usenet.com

Group Index

Sci Thread Archive from Usenet.com

<-- __Chronological__ --> <-- __Thread__ -->

Re: genome research project on oldest people for cancer clues



Archimedes Plutonium wrote:

I understand that human bodies have cancers all the time and
constantly throughout life but these cancers never develop because the
body immune system
destroys the cancer before it becomes out of control. I do not know
how true that picture is. But let us say there is some truth to the
idea.

This theory, called the "Immune Surveillance Theory" was a popular idea until recently. Unfortunately studies using mice lacking all T-cells and B-cells (T-cells appear to be the main anti-cancer cell in our bodies) found that these mice didn't have higher incidences of cancer then did "normal mice". Since that experiment several other experiments have confirmed these results. As such most immunologists no longer believe this theory. This came as a big disappointment to many of us, as there is no question in the scientific literature that you can generate successful immune responses against tumours, but these seem to be rare outside of the laboratory.

Since we have genome project with the ability to map the entire genome
of an individual. Then it would make much sense to map the genome of
the oldest humans alive because their genetic coding is more resistant
to disease especially cancer than the majority of other genomes.

Not necessarily. Most age-related disease (cancer, heart disease, diabetes, etc., etc., etc.) have both genetic and environmental factors associated with them. To make things worse most of these diseases involve many genes, none of which guarantee disease, but each of which increase your risk of getting the disease. So if you find a very old healthy person there is no guaranteed a genetic sequence will tell you anything - they may have "risk" genes but have never been exposed to environmental factors, and thus didn't develop the disease. Likewise, a person with a disease (i.e. lung cancer) may have none of the genetic factors associated with that disease, but were heavily exposed to an environmental factor (i.e. smoking) which caused the disease.

There are a variety of techniques which allow us to find disease genes. Basically, they involve looking at a group of people with the same disease, and you look for a genetic marker which is found in most of the people. Usually you will find several markers, with more investigation you can usually find specific genes. The hard part is showing those genes are involved in the disease process. Sometimes we do the reverse - start with a gene and look to see if people with a disease have a mutation in the gene. Either way you start with a diseased population, as it is easier to identify things they have in common then things that are different to "normal" people.

So, it would make sense to contact the oldest humans around for DNA
and to map their entire genome and then compare those genomes for
answers as to why they can live so long without contracting cancer or
many other diseases.

But how do you identify what is different from the rest of us? Today we only have 1 "complete" human genome, so we don't exactly have a lot to compare to. Even with modern genome sequencing equipment it still will take at least one year to sequence a human genome (likely longer), so this would be a very inefficient approach. And if you had a large enough data base you would still be looking for the same things we look for today - common markers within the genome which are associated with a disease. The traditional techniques of looking for disease-linked markers has been very successful to date, and will remain far more effective then your idea for many years to come. Until we can sequence the entire genome of a person in a resonable amount of time your technique will be much slower then what we currently use.

Bryan Heit




<-- __Chronological__ --> <-- __Thread__ -->


Usenet.com



Please check out one of the premium Usenet Newsgroup Service Providers below for access to Usenet.