I am pulling this out of the recent "Possibility" thread because I feel that Paula's original question wasn't given enough consideration. Her suggestion:
Clearly there must be change. So why not anaylze all pwp who desire to - their entire genome? Between the NIH, google, 23andme, MJFF, kinetics, PDF this could be a good way to spend money instead of on mice, lab rats and fruit flies. Wouldn't all our genes thrown into a database identify much about everyone? wouldn't that be worth 100 million dollars instead of yet another 15 yr study that yields nothing?
If I am not mistaken, 23andme analysis is our entire genome and in genetic studies they have proven they are on the cutting edge: they are the first research group to include patients and in just over two years they published a meta analysis the identified two new SNPS associated with PD plus they ensured the results were open source. That is quite a feat compared to snail's pace we are used to. This is all largely the doing of Sergey Brin of Google fame- I think he is one of our unsung heroes. He has given 50 million to research for starters... http://www.wired.com/magazine/2010/0...s_search/all/1
So we have a good solid start in the genetics dept but my question mirrors Paula's. 23andme already has the entire genomes of 6,000 PWP and numerous other GWAS (Genomic Wide Associative Studies) have been published on PD. There is even a database just on PD genomics (www.pdgene.org
). So why haven't we gotten any further? Again, it comes down to the profound lack of interest in studying metadata- looking at all studies and finding correlation, IMHO. I know it is all much more complex than this and even if we do find commonalities; this is only one part of the puzzle. Still if someone were to fund what Paula is saying at least we have mad some progress.
We have our genomes, so why not be proactive? Two ways- go public with the data; this can be done on 23andme as well as SNPedia in hope that someone with the interest and ability will look at it and act. Or we can start on a smaller scale here and share only PD related data that in research shows strong association to PD. I am not sure what to do with it though once collected other than the most basic comparison or averaging. However, it seems useful to have this data because we can run queries against them later on.
Anyway, here is a link to the table of the genetic mutations seeming to have the most relevance to PD. Note: only a handful of these are shared currently by 23andme, but you can find more by registering your genome with SNPedia and searching by SNP. It is worth the time and 2.00, I think.
Genome-wide significant summary meta-analysis results of the PDGene database in populations of Caucasian and Asian decent.
We have all this raw data to make use of and maybe this isn't feasible. Any other ideas? It seems we could be learning more from it on our own.