I did filter to p < 5e-8. But we also some filtering to independent lead snps. We also have sissies studies ranging from n of a few hundred to a few million subjects.

It's a little odd. I am plotting the log10 of the -log10(pvalue) on the x axis so in this plot the null signal drops off much faster than what we observe in the @gwascatalog.bsky.social
I'm curious if anyone has a hypothesis why the lead SNP p-values would have this distribution.

Sounds great!

The effect size in gwas catalog are harder to compare because they are not necessarily in standard deviation units.

Oh you win! Yes, all are inappropriate attempts to avoid underflows.

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.

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

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.

Isn't that the beginning of the movie "Brazil"?

It could be like designing an antibody to reduce circulating cystatin C levels in an attempt to improve kidney function...

And if that's the case, then we haven't really established a causal link between making people walk faster and seeing them age slower.

Signed

Thanks for these caveats.
I guess I'm just surprised a major chromosomal rearrangement can fix in a population so quickly with no apparent impact on the effective population size. Is there good literature on this across other species.