Some quotations from our Parkinson's disease paper just published in PLoS One:
Recent studies have begun to show that a much larger than
expected portion of the human genome may be functional [24–29].
An organism can certainly accommodate some limited amounts of random
variations within its building parts or DNAs, but too much random errors or
mutations may exceed an organism’s maximum level of tolerable disorder or entropy. Thus
overall level of randomness or minor allele amounts may be expected to be higher in
complex diseases relative to controls.
In fact, while most bench biologists have thought otherwise, nearly all in
the population genetics field still believe that most SNPs are neutral or that
most minor alleles are minor because of random drift rather than because of
disease-association.
The findings of higher MAC in PD cases is consistent with our intuitive hypothesis that a highly complex and ordered system such as the human brain must have an optimum limit on the level of randomness or entropy in its building parts or DNAs. Too much randomness over a critical threshold may trigger complex diseases. There may be only one unique and optimum way to build a complex system but there could be numerous ways to break it.While it may only take one single major effect error in a major pathway to cause diseases, it would require the collective effects of a large number of minor effect errors in many different pathways to achieve a similar outcome.
The findings of higher MAC in PD cases is consistent with our intuitive hypothesis that a highly complex and ordered system such as the human brain must have an optimum limit on the level of randomness or entropy in its building parts or DNAs. Too much randomness over a critical threshold may trigger complex diseases. There may be only one unique and optimum way to build a complex system but there could be numerous ways to break it.While it may only take one single major effect error in a major pathway to cause diseases, it would require the collective effects of a large number of minor effect errors in many different pathways to achieve a similar outcome.
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