Home / Series / Chaos Communication Congress / Aired Order / Season 33 / Episode 134

Genetic Codes and what they tell us – and everyone else

Speaker: _Adora_Belle_ The genome – the final frontier – or just a complex mess of letters? Somewhere in there, our eye or skin color is hidden. But also, diseases can be diagnosed or predicted by analyzing the genome. More and more research is committed to finding clues for diseases in our genes. The opportunity is clear: If I know about a disease I might get ahead of time, I could possibly intervene before it starts. Yet: How accurate are these predictions and how meaningful are they? And more importantly: What happens to my genetic data once it has been decoded? Genetic data is quite valuable, but not just for researchers, but also for health insurances, other insurers, law enforcement and employers. However, that genomic data can always be re-identified, since it is a unique pattern. Therefore, genomic data needs to be secured. In my talk, I would like to point out the possibilities which have arisen by whole genome sequencing, that is the complete decoding and analysis of one person’s genome. This milestone of biological research is important for medical advances such as personalized medicine. But it is also subject to commercialization. For ever more decreasing prices, one person can easily sequence their own genome and get access to information on heritage and possible risks of genetic diseases. This means that private companies are accumulating massive amounts of whole genome data. Additionally, third parties could send in probes of other people, which they can get quite easily. But how do we interpret the data? Even though people tend to believe that the genome holds many answers to diseases and risks, this has been a misconception. For most diseases, the environment, lifestyle and maybe even just bad luck play a much more important role. Still, many researchers are trying to analyze more and more genomes, especially in cancer research. Genetic predispositions for cancer are usually quite small probabilities, so a large sample size is needed t

English
  • Originally Aired December 30, 2016
  • Runtime 60 minutes
  • Production Code 8221
  • Created December 28, 2016 by
    Administrator admin
  • Modified December 28, 2016 by
    Administrator admin