Off the top of my head: 1. A lot of people come to a doctor with a specific prescription medication in mind based on ads alone and many doctors happily oblige

Off the top of my head: 1. A lot of people come to a doctor with a specific prescription medication in mind based on ads alone and many doctors happily oblige and possibly even receive kickbacks from pharma. How often is medication prescribed for a problem that could have been left alone? I suspect A LOT, based on how over-prescribed addictive and dangerous opiate painkillers are in USA. We'll now be corralling those people not just on conditions they have, but also ones there is some research suggesting they are a higher risk to get. Maybe they'll even start taking something preemptively, because they have a 200% higher than average chance of developing a condition that affects 1 in 1M... 2. Once your genetic traits data gets to the adtech it's a matter of time before you'll see online gambling ads targeted based on research like this https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3638385/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3638385/ and similar things 3. Negative targeting could also become a thing: - how about you don't show health insurance ads based on genetic markers that can result in high coverage costs? or limiting your recruitment ads to potential employees that aren't likely to have or develop diabetes? - just checking for lactose tolerance gene would exclude most of worlds non-white population - would that be OK? that same check could be used for medication ad targeting - wouldn't even have to extended dataset I'm fairly sure I could get you a hundred examples how it could go terribly wrong if I had a couple hours.