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.
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?
@inmice.bsky.social
Here's one for you
www.sciencedaily.com/releases/202...
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
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.
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.