Reprogenetics
From Biocrawler, the free encyclopedia.
Reprogenetics is a term referring to the merging of reproductive medicine and genetics technologies expected to happen in the near future as techniques like preimplantation genetic diagnosis become more available and more powerful. The term was coined by Lee M. Silver, a professor of molecular biology at Princeton University, in his 1997 book Remaking Eden.
In Silver's formulation, reprogenetics will involve advances in a number of technologies not yet achieved, but not inherently impossible. Among these are improvements in interpreting the effects of different expressions of DNA, the ability to harvest large amounts of embryos from females, and a far higher rate of reinsertion of embryos into host mothers. The end result, according to Silver, is that those parents who can afford it will be able to pick out the genetic characteristics of their own children, which Silver says will trigger a number of social changes in the decades after its implementation. Possible early applications, however, might be closer to eliminating disease genes passed on to children.
According to Silver, the main differences between reprogenetics and eugenics, the "science" of improving the gene pool which in the first half of the twentieth century became infamous for the brutal policies it inspired, is that most eugenics programs were compulsory programs imposed upon citizens by governments trying to enact an ultimate goal. Reprogenetics, by contrast, would be pursued by individual parents, who would be trying to improve their children with the same motivations that compel them to purchase expensive courses in preparation for standardized testing (i.e. the SAT). The end effect of both practices on the gene pool would be similar, such as reduced incidence of genetic disease and potentially increased genetic IQ.
References
- Lee M. Silver, Remaking Eden: Cloning and Beyond in a Brave New World (New York: Avon Books, 1997)
External links
- Lee M. Silver's webpage (http://24.225.233.42/index.html)

