I should clarify something: the types of problems I can most efficiently tackle are retrospective analysis of already-collected data.

Prospective clinical and animal studies are not out of the question, but given the investment in infrastructure and regulatory compliance they would need, these would have to be collaborations with researchers already pursuing such studies. This is on the table, but does not leverage the clinical data I already have (unless, in the case of clinical researchers, they are already at my institution or an affiliated one).

My id... (read more)

I have some philosophical objections to your approach. I'm not sure it's such a good idea to focus exclusively on research questions that are explicitly aging-related, just because you'll be limiting yourself to a subset of the promising ideas out there. Secondly, you probably shouldn't worry about pursuing a project in which your already-collected data is useless, especially if that data or similar is also available to most other researchers in your field (if not, it would be very useful for you to try to make that data available to others who could do so... (read more)

1Fluttershy5yOkay, neat! I have an idea, and it might be kind of farfetched, or not amenable to the types of analyses you are best at doing, but I'll share it anyways. Here goes. Given that there is a tradeoff [http://en.wikipedia.org/wiki/Antagonistic_pleiotropy_hypothesis] between health and reproduction, I wonder if you could increase the expected lifespan of a healthy human male by having him take anti-androgens on a regular basis. We already know that male eunuchs who are humans live longer [http://www.sciencedirect.com/science/article/pii/S0960982212007129] than intact male humans. I suspect that most guys wouldn't be willing to become eunuchs even if they valued having a long lifespan very highly, but being able to increase one's expected lifespan by decreasing one's testosterone levels while still remaining intact might be something that a few males would consider, if such a therapy were proven to be effective. Anyways, after taking 10 minutes to look around on Google Scholar, I wasn't able to find any papers suggesting that taking anti-androgens would be an effective anti-aging measure, so maybe this would be a viable project for someone to work on. As an aside, I don't know which mechanisms cause castrated men to live longer, but this [http://www.eje-online.org/content/165/5/687.full.pdf] seems relevant to the question of why/how castrated men live longer.

Request for suggestions: ageing and data-mining

by bokov 1 min read24th Nov 201448 comments


Imagine you had the following at your disposal:

  • A Ph.D. in a biological science, with a fair amount of reading and wet-lab work under your belt on the topic of aging and longevity (but in hindsight, nothing that turned out to leverage any real mechanistic insights into aging).
  • A M.S. in statistics. Sadly, the non-Bayesian kind for the most part, but along the way acquired the meta-skills necessary to read and understand most quantitative papers with life-science applications.
  • Love of programming and data, the ability to learn most new computer languages in a couple of weeks, and at least 8 years spent hacking R code.
  • Research access to large amounts of anonymized patient data.
  • Optimistically, two decades remaining in which to make it all count.

Imagine that your goal were to slow or prevent biological aging...

  1. What would be the specific questions you would try to tackle first?
  2. What additional skills would you add to your toolkit?
  3. How would you allocate your limited time between the research questions in #1 and the acquisition of new skills in #2?

Thanks for your input.


I thank everyone for their input and apologize for how long it has taken me to post an update.

I met with Aubrey de Grey and he recommended using the anonymized patient data to look for novel uses for already-prescribed drugs. He also suggested I do a comparison of existing longitudinal studies (e.g. Framingham) and the equivalent data elements from our data warehouse. I asked him that if he runs into any researchers with promising theories or methods but for a massive human dataset to test them on, to send them my way.

My original question was a bit to broad in retrospect: I should have focused more on how to best leverage the capabilities my project already has in place rather than a more general "what should I do with myself" kind of appeal. On the other hand, at the time I might have been less confident about the project's success than I am now. Though the conversation immediately went off into prospective experiments rather than analyzing existing data, there were some great ideas there that may yet become practical to implement.

At any rate, a lot of this has been overcome by events. In the last six months I realized that before we even get to the bifurcation point between longevity and other research areas, there are a crapload of technical, logistical, and organizational problems to solve. I no longer have any doubt that these real problems are worth solving, my team is well positioned to solve many of them, and the solutions will significantly accelerate research in many areas including longevity. We have institutional support, we have a credible revenue stream, and no shortage of promising directions to pursue. The limiting factor now is people-hours. So, we are recruiting.

Thanks again to everyone for their feedback.