Genetic privacy is a subject that has always been a little near and dear to Yaniv. Back in 2014, he and Arvind Narayanan from Princeton University, explored this issue and later were recognized by Science Magazine as the guys who really predicted what police would wind up using to track down criminals like the Golden State Killer. That’s what we first talk about in our discussion and then we transition into talking about his newer paper a bit later. So enjoy the conversation and I’ll be back in a little bit. YE: Yeah, we had the paper this is like 2014 paper in Nature Reviews Genetics, where we mapped all the different strategies to breach genetic privacy.
We wanted to create kind of like for direct custodians, and just researchers that are interested in a domain, a summary of all the methods that we think could be used to reach genetic information and to learn or to infer some private things from this information.
And the point was to create a taxonomy of different attacks so we can actually, when we talk about different things we know exactly where we are in this taxonomy and we can communicate between these different disciplines.
One of the routes that we identified was to use genealogical triangulation. And if you have the surname, then we’ve a bit more identifies, you can really zoom in and get to the person.Īnd one of the suggestions when we talked with the NIH and other data custodians was, let’s just remove the Y chromosome and this will solve the problem, and we were like, doesn’t sound right, you start to remove pieces from the genome, and then we can maybe execute the attack with other pieces of the genome.Īnd Previous to that study nature of genetics, we published another study in science where we show that you can infer the surname of individuals or males from the Y chromosome. We mentioned GEDMatch, this nature of use genetics manuscript.Īnd this is why we thought about it and we thought that there is this idea that you can, if you can find a second cousin or a third cousin or some distant relative of a person using GED matching.
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