coetzeesg

Google and the other SV companies do nothing to change the relations between it's workers and the product of their work, nor do they do that for any other companies. They are 100% pure capitalist. There is nothing Left about them.

I don't agree that it's horrible, but it really doesn't work particularly well in the context of the S4 objects in, for example Bioconductor.

Yea, I can only work with tissues that I have chromatin marks for, and retinal tissue is not one that is easily available. But it's possible that the retinal features are an early detector of disregulation (in some pathway to Parkinson’s), and it would be interesting to see precisely what it’s detecting, perhaps shedding more light on inherited risk.

There is some evidence that the brain (and substantia nigra) is not the only region where risk for Parkinson's can accumulate. There may be some ties to developmental processes, lymphocytes, and the liver and fat cells[0].

[0]http://www.nature.com/articles/srep30509 [0]http://parkinsonsnewstoday.com/2016/08/11/parkinsons-risk-mu...

This is a pretty good video about the subject as well: https://www.youtube.com/watch?v=_ezhdhHNku0 - Coded Mask - Sixty Symbols

That's fair, but if you don't already present with a disease, I don't know how much WES can tell you. At least with a SNP chip, and the correct analysis, you can start speculating about what may happen down the road.

Anything that is interrogating risk for complex disease must look outside of exons. Most genome wide association study (GWAS) index SNPs, in diseases such as cancer[1], autoimmune disorders and psychiatric disorders, fall in introns of genes and the large intergenic regions. This means that it's hard to pinpoint the gene that is being effected, and if you're only looking at the exons of genes, you're missing almost the whole picture of inherited risk.

[1] from my paper in 2012: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3467035/figure/g...