GWAS whisperer.
It's usually the closest gene.
Executive Director, Integrative Biology, Internal Medicine Research Unit. Pfizer R&D. All views my own.
Also cats.
Eric Fauman (he/him)
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Quick quiz. This is a plot of how often each p-value appears in this @gwascatalog.bsky.social. Actually I binned the -log10(p) values to their integer values (e.g., 8-9, 9-10, etc).
I'm highlighting 3 outliers here, in orange.
What are these p-values and why do they diverge so much?
If you didn't get your certificate were you really even there?
Getting ready for ASHG25 here in Boston! Who's coming to town?
As you know, I am fascinated by extreme GWAS p-values.
Will we see anything beyond the current record holder, 10^-28538, for eye color.
Interestingly, the p-values for all lead SNPs in the @gwascatalog.bsky.social follow a power law
Bonus question. Why is the plot of log10(count) as a function of log10(-log10(p)) a straight line?
Recall, the data is all the lead SNPs recorded in the GWAS catalog.
@inmice.bsky.social
Here's one for you
www.sciencedaily.com/releases/202...
Years ago I asked on Twitter why my heart rate would continue to climb even after I fixed the speed and incline on my treadmill. At the time, no one on Twitter could give me a satisfactory answer.
But now GPT4o was able to answer it and suggested approaches to quantify the phenomenon.
This graph plots a study I did on myself which involves trying to maintain a heart rate of exactly 123 bpm for 45 minutes. Doing so requires adjusting the work output. In this plot the red line is my heart rate while the blue line is the work output, which you can see decreases over time.
Specifically, the phenomenon is called cardiovascular drift and it is a consequence of the body having to do the mechanical work and then also additional work to dissipate the heat generated by the effort, especially the vasodilation to direct internal body heat to the surface.
For fun I'm also tracking the room temperature, humidity and CO2 which all increase during the workout, as expected.
All the analysis, charting and graphs were done by GPT5 operating on a google sheet where I collected the minute by minute stats.
GPT4o pointed me to a device that measures core and skin body temperature. In gold you can see my core body temp continues to rise even after I reach my max heart rate (red), thus requiring further decreases in the work output (blue). Skin temperature drops during the workout, thanks to fans + sweat
